CN103840837B - Method and apparatus for compressing and decompressing data - Google Patents

Abstract

The invention discloses a method and a device for compressing and decompressing data, wherein the device for decompressing data comprises the following steps: the reading module is used for reading stored data, and the stored data comprises a plurality of first data with a first pitch angle, a plurality of second data with a first azimuth angle and a plurality of third data with a second azimuth angle; the first determining module is used for determining gain values corresponding to the first reference data, the second reference data and the third reference data according to the stored data; and the second determining module is used for determining the gain value corresponding to the reconstruction data by using a two-dimensional interpolation algorithm according to the gain values of the first reference data, the second reference data and the third reference data. The method and the device for compressing and decompressing data can reduce the number of stored data by storing the data with special characteristics, and can accurately reconstruct the three-dimensional directional diagram of the antenna by utilizing an interpolation algorithm according to the data, thereby reducing the storage cost of the antenna.

Description

Method and apparatus for compressing and decompressing data

technical field

The invention relates to the communication field, in particular to a method and device for compressing and decompressing data in the communication field.

Background technique

When using computer software to carry out network planning and optimization work, the three-dimensional antenna pattern has been more and more widely used due to its high precision and accuracy. When the antenna works in different frequency bands and different downtilt angles, the three-dimensional pattern of the antenna will show different shapes. In addition, when the antenna is a multi-port antenna, each port also has its own three-dimensional pattern shape. Therefore, an antenna usually corresponds to multiple three-dimensional pattern, and there are usually more than ten thousand pieces of data describing each antenna three-dimensional pattern. This requires a remote antenna information management (Remote Antenna Extension, RAE) module in the antenna for storing the pattern to have a large enough storage space, which increases the storage cost of the antenna.

Contents of the invention

The embodiment of the present invention provides a method and device for compressing and decompressing data, which can reduce the amount of stored data and can accurately reconstruct the original antenna three-dimensional pattern.

In a first aspect, a device for decompressing data is provided. The device includes: a reading module for reading stored data, the stored data includes a plurality of first data whose elevation angle is a first elevation angle, an azimuth angle Be a plurality of second data of the first azimuth angle and a plurality of third data whose azimuth angle is the second azimuth angle, wherein the difference between the first azimuth angle and the second azimuth angle is 180°; the first determination module is used for reading according to The stored data read by the module determines the gain values corresponding to the first reference data, the second reference data, and the third reference data; wherein, the azimuth corresponding to the first reference data is equal to the azimuth corresponding to the reconstructed data, and the second The pitch angle corresponding to a reference data is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angles corresponding to the reconstructed data, and the azimuth angle corresponding to the second reference data is the first azimuth angle , the azimuth angle corresponding to the third reference data is the second azimuth angle; the second determination module is configured to use two The dimensional interpolation algorithm determines the gain value corresponding to the reconstructed data.

In a first possible implementation manner of the first aspect, the first determining module is specifically configured to: determine the first reference data among the plurality of first data, and determine a gain value corresponding to the first reference data.

In a second possible implementation manner of the first aspect, the first determining module is specifically configured to: determine at least two first data among multiple first data, wherein the at least two first data include: an azimuth angle smaller than The first data of the azimuth angle of the first reference data and the first data of the azimuth angle greater than the first reference data; according to the gain values corresponding to at least two first data, a one-dimensional interpolation algorithm is used to determine the first reference data. gain value.

In combination with the first aspect or any one of the first to second possible implementations of the first aspect, in the third possible implementation of the first aspect, the first determining module specifically further It is used to: determine the second reference data among multiple second data, and determine the gain value of the second reference data; and/or the first determination module is further configured to: determine the third reference data among multiple third data , and determine the gain value of the third reference data.

In combination with the first aspect or any one of the first to second possible implementations of the first aspect, in the fourth possible implementation of the first aspect, the first determining module specifically further Used for: determining at least two second data among a plurality of second data, wherein the at least two second data include: the second data whose pitch angle is smaller than the pitch angle of the second reference data and the pitch angle larger than the second reference data The second data of the pitch angle; according to the gain values corresponding to at least two second data, the gain value of the second reference data is determined by using a one-dimensional interpolation algorithm.

In combination with the first aspect or any of the first, second, and fourth possible implementations of the first aspect, in the fifth possible implementation of the first aspect, the first The determining module is specifically further configured to: determine at least two third data among a plurality of third data, wherein the at least two third data include: third data whose pitch angle is smaller than the pitch angle of the third reference data and pitch angles larger than The third data of the pitch angle of the third reference data; according to the gain values corresponding to at least two third data, a one-dimensional interpolation algorithm is used to determine the gain value of the third reference data.

In combination with the second, fourth or fifth possible implementation of the first aspect, in the sixth possible implementation of the first aspect, the one-dimensional interpolation algorithm is one-dimensional nearest neighbor interpolation, linear interpolation , cubic spline interpolation or piecewise third-order Hermitian interpolation.

In combination with the first aspect or any of the first to sixth possible implementations of the first aspect, in the seventh possible implementation of the first aspect, the two-dimensional interpolation algorithm is two dimensional nearest neighbor interpolation, bilinear interpolation, cubic convolution, or Lagrangian interpolation.

In a second aspect, a device for compressing data is provided, the device includes: an acquisition module, configured to acquire the azimuth, elevation angle, and gain value corresponding to the target data from a plurality of data, the target data being the three-dimensional pattern of the antenna The data corresponding to the point with the largest gain value; a first determination module, configured to determine from the plurality of data a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the target data acquired by the acquisition module, A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the target data and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the target data; a storage module for storing the first The plurality of first data, the plurality of second data, and the plurality of third data determined by the determining module, so that according to the plurality of first data, the plurality of second data and the plurality of The third data reconstructs the three-dimensional pattern of the antenna.

In a first possible implementation manner of the second aspect, the plurality of second data determined by the first determination module includes: data in which all azimuth angles in the plurality of data are equal to the azimuth angles corresponding to the target data; and/or the first The plurality of third data determined by the determination module includes: data in which all azimuth angles in the plurality of data differ from the azimuth angle corresponding to the target data by 180°.

With reference to the second aspect or the first possible implementation of the second aspect, in the second possible implementation of the second aspect, the plurality of first data determined by the first determining module includes: The rule is that the pitch angles selected from the multiple data are equal to the pitch angles corresponding to the target data.

In combination with the second aspect or any possible implementation manner of the first to second possible implementation manners of the second aspect, in a third possible implementation manner of the second aspect, the device further includes: reading The fetching module is used to read stored data, and the stored data includes a plurality of first data whose elevation angle is a first elevation angle, a plurality of second data whose azimuth angle is a first azimuth angle, and azimuth angles whose azimuth angle is a second azimuth angle A plurality of third data, wherein the difference between the first azimuth angle and the second azimuth angle is 180°; the second determination module is used to determine the first reference data, the second reference data and the stored data read by the reading module. The gain value corresponding to the third reference data; wherein, the azimuth angle corresponding to the first reference data is equal to the azimuth angle corresponding to the reconstruction data, and the pitch angle corresponding to the first reference data is the first pitch angle; the second reference data and the first pitch angle The pitch angle corresponding to the three reference data is equal to the pitch angle corresponding to the reconstruction data, and the azimuth angle corresponding to the second reference data is the first azimuth angle, and the azimuth angle corresponding to the third reference data is the second azimuth angle; the third determining module , for determining the gain value corresponding to the reconstructed data by using a two-dimensional interpolation algorithm according to the gain values corresponding to the first reference data, the second reference data and the third reference data determined by the second determining module.

In a third aspect, a method for decompressing data is provided, the method includes: reading stored data, the stored data includes a plurality of first data whose pitch angle is a first pitch angle, and a plurality of data whose azimuth angle is a first azimuth angle A plurality of second data and a plurality of third data whose azimuth angle is a second azimuth angle, wherein the difference between the first azimuth angle and the second azimuth angle is 180°; according to the stored data, determine the first reference data, the second reference data and The gain value corresponding to the third reference data; wherein, the azimuth angle corresponding to the first reference data is equal to the azimuth angle corresponding to the reconstruction data, and the pitch angle corresponding to the first reference data is the first pitch angle; the second reference data and the first pitch angle The pitch angle corresponding to the three reference data is equal to the pitch angle corresponding to the reconstructed data, and the azimuth angle corresponding to the second reference data is the first azimuth angle, and the azimuth angle corresponding to the third reference data is the second azimuth angle; according to the first reference The gain values corresponding to the data, the second reference data, and the third reference data are determined using a two-dimensional interpolation algorithm to determine the gain values corresponding to the reconstructed data.

In a first possible implementation manner of the third aspect, determining the gain value corresponding to the first reference data includes: determining the first reference data in multiple first data, and determining the gain value corresponding to the first reference data.

In a second possible implementation manner of the third aspect, determining the gain value corresponding to the first reference data includes: determining at least two first data among multiple first data, wherein the at least two first data include : the first data whose azimuth angle is smaller than the azimuth angle of the first reference data and the first data whose azimuth angle is larger than the azimuth angle of the first reference data; according to the gain values corresponding to at least two first data, a one-dimensional interpolation algorithm is used to determine the first data A reference data gain value.

In combination with the third aspect or any of the first to second possible implementations of the third aspect, in the third possible implementation of the third aspect, it is determined that the second reference data corresponds to The gain value of the second reference data includes: determining the second reference data in a plurality of second data, and determining the gain value of the second reference data; and/or determining the gain value corresponding to the third reference data, including: determining the gain value in the plurality of third data Determine the third reference data, and determine the gain value of the third reference data.

In combination with the third aspect or any of the first to second possible implementations of the third aspect, in a fourth possible implementation of the third aspect, it is determined that the second reference data corresponds to The gain value includes: determining at least two second data among a plurality of second data, wherein the at least two second data include: the second data whose pitch angle is smaller than the pitch angle of the second reference data and the pitch angle larger than the first reference data The second data of the pitch angle of the two reference data; according to the gain values corresponding to at least two second data, a one-dimensional interpolation algorithm is used to determine the gain value of the second reference data.

In combination with the third aspect or any of the first, second, and fourth possible implementations of the third aspect, in the fifth possible implementation of the third aspect, determine that the first The gain value corresponding to the three reference data includes: determining at least two third data among a plurality of third data, wherein the at least two third data include: the third data whose pitch angle is smaller than the pitch angle of the third reference data and The third data whose pitch angle is greater than the pitch angle of the third reference data; according to the gain values corresponding to at least two third data, a one-dimensional interpolation algorithm is used to determine the gain value of the third reference data.

In combination with the second, fourth or fifth possible implementation of the third aspect, in the sixth possible implementation of the third aspect, the one-dimensional interpolation algorithm is one-dimensional nearest neighbor interpolation, linear interpolation , cubic spline interpolation or piecewise third-order Hermitian interpolation.

In combination with the third aspect or any of the first to sixth possible implementations of the third aspect, in the seventh possible implementation of the third aspect, the two-dimensional interpolation algorithm is two dimensional nearest neighbor interpolation, bilinear interpolation, cubic convolution, or Lagrangian interpolation.

In the fourth aspect, a method for compressing data is provided, the method includes: obtaining the azimuth, elevation angle and gain value corresponding to the target data from a plurality of data, and the target data is corresponding to the point with the largest gain value in the antenna three-dimensional pattern diagram The data; From a plurality of data, determine a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the target data, a plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the target data, and a plurality of azimuth angles corresponding to the target data A plurality of third data whose azimuth angles differ by 180°; store a plurality of first data, a plurality of second data, and a plurality of third data, so that according to a plurality of first data, a plurality of second data and a plurality of third data The three-dimensional pattern of the antenna is reconstructed from the data.

In a first possible implementation manner of the fourth aspect, the plurality of second data includes: data in which all azimuth angles in the plurality of data are equal to the azimuth angles corresponding to the target data; and/or the plurality of third data includes: a plurality of All the azimuth angles in the data are different from the azimuth angle corresponding to the target data by 180°.

With reference to the fourth aspect or the first possible implementation manner of the fourth aspect, in the second possible implementation manner of the fourth aspect, the plurality of first data includes: according to a preset data interval rule, from a plurality of data Multiple data whose pitch angles are equal to the pitch angles corresponding to the target data.

In combination with the fourth aspect or any of the first to second possible implementation manners of the fourth aspect, in the third possible implementation manner of the fourth aspect, the method further includes: reading Get the stored data, the stored data includes a plurality of first data whose pitch angle is the first pitch angle, a plurality of second data whose azimuth angle is the first azimuth angle, and a plurality of third data whose azimuth angle is the second azimuth angle , wherein the difference between the first azimuth angle and the second azimuth angle is 180°; according to the stored data, determine the gain values corresponding to the first reference data, the second reference data and the third reference data; wherein, the azimuth angle corresponding to the first reference data The azimuth angle corresponding to the reconstructed data is equal, and the pitch angle corresponding to the first reference data is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angle corresponding to the reconstructed data, and the pitch angle corresponding to the first reference data is The azimuth angle corresponding to the second reference data is the first azimuth angle, and the azimuth angle corresponding to the third reference data is the second azimuth angle; according to the gain values corresponding to the first reference data, the second reference data and the third reference data, using the two-dimensional The interpolation algorithm determines the gain value corresponding to the reconstructed data.

Based on the above-mentioned technical solution, the method and device for compressing and decompressing data in the embodiment of the present invention store a plurality of first data corresponding to the data with the largest pitch angle and the largest gain value, corresponding to the data with the largest azimuth angle and the largest gain value. A plurality of second data with the same azimuth angle and a plurality of third data with a 180° difference in azimuth angle corresponding to the data with the largest gain value, and using interpolation algorithm to reconstruct the antenna three-dimensional pattern according to these data, which can reduce storage The amount of data, and can accurately reconstruct the three-dimensional pattern of the original antenna, can reduce the storage cost of the antenna.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required in the embodiments of the present invention. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

Fig. 1 is a schematic block diagram of an apparatus for decompressing data according to an embodiment of the present invention.

Fig. 2 is a schematic block diagram of an apparatus for compressing data according to an embodiment of the present invention.

Fig. 3 is a schematic block diagram of an apparatus for decompressing data according to another embodiment of the present invention.

Fig. 4 is a schematic block diagram of an apparatus for compressing data according to another embodiment of the present invention.

Fig. 5 is a schematic flowchart of a method for decompressing data according to an embodiment of the present invention.

FIG. 6 is a schematic diagram of stored data according to an embodiment of the present invention.

Fig. 7 is a schematic flowchart of a method for compressing data according to an embodiment of the present invention.

Fig. 8 is a schematic flowchart of a method for compressing data according to another embodiment of the present invention.

FIG. 9 is a schematic diagram of a method for compressing data and decompressing data according to an embodiment of the present invention.

Fig. 10 is a schematic diagram of a method for compressing data and decompressing data according to another embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

As shown in Figure 1, the device 100 for decompressing data in the embodiment of the present invention includes:

The reading module 110 is used to read stored data, the stored data includes a plurality of first data whose pitch angle is a first pitch angle, a plurality of second data whose azimuth angle is a first azimuth angle, and a plurality of second data whose azimuth angle is a second azimuth angle. A plurality of third data of azimuth angles, wherein the difference between the first azimuth angle and the second azimuth angle is 180°;

The first determination module 120 is used to determine the gain values corresponding to the first reference data, the second reference data and the third reference data according to the stored data read by the reading module 110; wherein, the azimuth corresponding to the first reference data The azimuth angle corresponding to the reconstructed data is equal, and the pitch angle corresponding to the first reference data is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angle corresponding to the reconstructed data, and the pitch angle corresponding to the first reference data is The azimuth corresponding to the second reference data is the first azimuth, and the azimuth corresponding to the third reference data is the second azimuth;

The second determination module 130 is configured to determine the gain value corresponding to the reconstructed data by using a two-dimensional interpolation algorithm according to the gain values corresponding to the first reference data, the second reference data and the third reference data determined by the first determination module 120 .

Therefore, the device for decompressing data in the embodiment of the present invention can reconstruct the original antenna three-dimensional pattern accurately with a small amount of data by using the interpolation algorithm to reconstruct the antenna three-dimensional pattern according to the stored data, and can reduce the storage cost of the antenna .

Optionally, as an embodiment, the first determining module 120 is specifically configured to:

The first reference data is determined from the plurality of first data, and the gain value corresponding to the first reference data is determined.

Optionally, as an embodiment, the first determining module 120 is specifically configured to:

Determine at least two first data among the plurality of first data, wherein the at least two first data include: first data with an azimuth angle smaller than the azimuth angle of the first reference data and azimuth angle with an azimuth angle larger than the first reference data the first data of

According to the gain values corresponding to the at least two first data, a one-dimensional interpolation algorithm is used to determine the gain value of the first reference data.

Optionally, as an embodiment, the first determining module 120 is specifically further configured to:

Determining second reference data among a plurality of second data, and determining a gain value of the second reference data; and/or

The first determination module is also specifically used for:

Third reference data is determined among the plurality of third data, and a gain value of the third reference data is determined.

Optionally, as an embodiment, the first determining module 120 is specifically further configured to:

Determine at least two second data among a plurality of second data, wherein at least two second data include: second data whose pitch angle is smaller than the pitch angle of the second reference data and pitch angles whose pitch angle is larger than the second reference data the second data of

According to the gain values corresponding to at least two second data, a one-dimensional interpolation algorithm is used to determine the gain value of the second reference data.

Optionally, as an embodiment, the first determining module 120 is specifically further configured to:

Determine at least two third data among a plurality of third data, wherein at least two third data include: the third data whose pitch angle is smaller than the pitch angle of the third reference data and the pitch angle whose pitch angle is larger than the third reference data the third data of

According to the gain values corresponding to at least two third data, a one-dimensional interpolation algorithm is used to determine the gain value of the third reference data.

Optionally, as an embodiment, the one-dimensional interpolation algorithm is a one-dimensional nearest neighbor interpolation method, a linear interpolation method, a cubic spline interpolation method or a piecewise third-order Hermitian interpolation method.

Optionally, as an embodiment, the two-dimensional interpolation algorithm is a two-dimensional nearest neighbor interpolation method, a bilinear interpolation method, a cubic convolution method or a Lagrangian interpolation method.

It should be understood that, in the embodiment of the present invention, the device 100 for decompressing data according to the embodiment of the present invention may correspond to the execution body of the method according to the embodiment of the present invention, and the above-mentioned and other operations and/or operations of each module in the device 100 Or the functions are respectively to realize the corresponding flow of each method in FIG. 5 to FIG. 10 , and for the sake of brevity, details are not repeated here.

Therefore, the device for decompressing data in the embodiment of the present invention can reconstruct the original antenna three-dimensional pattern accurately with a small amount of data by using the interpolation algorithm to reconstruct the antenna three-dimensional pattern according to the stored data, and can reduce the storage cost of the antenna .

As shown in Figure 2, the device 200 for compressing data in the embodiment of the present invention includes:

The obtaining module 210 is used to obtain the azimuth, pitch angle and gain value corresponding to the target data from a plurality of data, and the target data is the data corresponding to the point with the largest gain value in the antenna three-dimensional pattern;

The first determining module 220 is configured to determine a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the target data acquired by the acquisition module, and a plurality of second data whose azimuth angles are equal to the azimuth angle corresponding to the target data from the plurality of data. A plurality of third data whose azimuth angle differs by 180° from the azimuth angle corresponding to the target data;

The storage module 230 is configured to store the plurality of first data, the plurality of second data and the plurality of third data determined by the first determining module 220, so as to store the plurality of first data, the plurality of second data and the plurality of third data Three-dimensional data reconstruction antenna 3D pattern.

Therefore, the device for compressing data in the embodiment of the present invention obtains the data corresponding to the point with the largest gain value in the original data, and only stores a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value. A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value are used to reconstruct the three-dimensional antenna The pattern can reduce the required storage space and reduce the storage cost of the antenna.

Optionally, as an embodiment, the plurality of second data determined by the first determination module 220 includes:

Data in which all the azimuth angles in the plurality of data are equal to the azimuth angles corresponding to the target data; and/or

The plurality of third data determined by the first determining module 220 includes: data in which all azimuth angles in the plurality of data differ from the azimuth angle corresponding to the target data by 180°.

Optionally, as an embodiment, the plurality of first data determined by the first determination module 220 includes:

According to the preset data interval rule, a plurality of data whose pitch angles are equal to the pitch angles corresponding to the target data are selected from the plurality of data.

Optionally, as an embodiment, the device 200 further includes:

The reading module is used to read stored data, and the stored data includes a plurality of first data whose elevation angle is a first elevation angle, a plurality of second data whose azimuth angle is a first azimuth angle, and azimuth angles whose azimuth angle is a second azimuth A plurality of third data of the angle, wherein the difference between the first azimuth angle and the second azimuth angle is 180°;

The second determining module is used to determine the gain values corresponding to the first reference data, the second reference data and the third reference data according to the stored data read by the reading module; wherein, the azimuth corresponding to the first reference data is related to the weight The azimuth angles corresponding to the structural data are equal, and the pitch angle corresponding to the first reference data is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angles corresponding to the reconstruction data, and the second reference data The azimuth corresponding to the data is the first azimuth, and the azimuth corresponding to the third reference data is the second azimuth;

The third determination module is configured to determine the gain value corresponding to the reconstructed data by using a two-dimensional interpolation algorithm according to the gain values corresponding to the first reference data, the second reference data and the third reference data determined by the second determination module.

It should be understood that, in the embodiment of the present invention, the device 200 for compressing data according to the embodiment of the present invention may correspond to the execution body of the method according to the embodiment of the present invention, and the above-mentioned and other operations and/or The functions are respectively to realize the corresponding flow of each method in FIG. 5 to FIG. 10 , and for the sake of brevity, details are not repeated here.

Therefore, the device for compressing data in the embodiment of the present invention obtains the data corresponding to the point with the largest gain value in the original data, and only stores a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value. A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value are used to reconstruct the three-dimensional antenna The pattern can reduce the required storage space and reduce the storage cost of the antenna.

Fig. 3 shows a schematic block diagram of an apparatus 300 for decompressing data according to another embodiment of the present invention. As shown in FIG. 3 , the controller 300 includes a processor 310 , a memory 320 and a bus 330 . Wherein, the processor 310 and the memory 320 are connected through a bus system 330 , the memory 320 is used for storing instructions, and the processor 310 is used for executing the instructions stored in the memory 320 . Wherein, the processor 310 is used for:

Read the stored data, the stored data includes a plurality of first data whose pitch angle is the first pitch angle, a plurality of second data whose azimuth angle is the first azimuth angle, and a plurality of third data whose azimuth angle is the second azimuth angle. Data, wherein the difference between the first azimuth angle and the second azimuth angle is 180°;

According to the stored data, determine the gain values corresponding to the first reference data, the second reference data and the third reference data; wherein, the azimuth angle corresponding to the first reference data is equal to the azimuth angle corresponding to the reconstructed data, and the first reference data The corresponding pitch angle is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angles corresponding to the reconstructed data, and the azimuth angle corresponding to the second reference data is the first azimuth angle, and the third reference data The azimuth corresponding to the reference data is the second azimuth;

According to the gain values corresponding to the first reference data, the second reference data and the third reference data, a two-dimensional interpolation algorithm is used to determine the gain value corresponding to the reconstructed data.

Therefore, the device for decompressing data in the embodiment of the present invention can reconstruct the original antenna three-dimensional pattern accurately with a small amount of data by using the interpolation algorithm to reconstruct the antenna three-dimensional pattern according to the stored data, and can reduce the storage cost of the antenna .

It should be understood that, in the embodiment of the present invention, the processor 310 may be a central processing unit (Central Processing Unit, CPU), and the processor 310 may also be other general processors, digital signal processors (DSP), application specific integrated circuits ( ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The memory 320 may include read-only memory and random-access memory, and provides instructions and data to the processor 310 . A portion of memory 320 may also include non-volatile random access memory. For example, memory 320 may also store device type information.

In addition to the data bus, the bus system 330 may also include a power bus, a control bus, a status signal bus, and the like. However, for clarity of illustration, the various buses are labeled as bus system 330 in the figure.

In the implementation process, each step of the above method may be implemented by an integrated logic circuit of hardware in the processor 310 or instructions in the form of software. The steps of the methods disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory 320, and the processor 310 reads the information in the memory 320, and completes the steps of the above method in combination with its hardware. To avoid repetition, no detailed description is given here.

Optionally, as an embodiment, the processor 310 determines the gain value corresponding to the first reference data, including:

The first reference data is determined from the plurality of first data, and the gain value corresponding to the first reference data is determined.

Optionally, as an embodiment, the processor 310 determines the gain value corresponding to the first reference data, including:

Determine at least two first data among the plurality of first data, wherein the at least two first data include: first data with an azimuth angle smaller than the azimuth angle of the first reference data and azimuth angle with an azimuth angle larger than the first reference data the first data of

According to the gain values corresponding to the at least two first data, a one-dimensional interpolation algorithm is used to determine the gain value of the first reference data.

Optionally, as an embodiment, the processor 310 determines the gain value corresponding to the second reference data, including:

Determining second reference data among a plurality of second data, and determining a gain value of the second reference data; and/or

Determine the gain value corresponding to the third reference data, including:

Third reference data is determined among the plurality of third data, and a gain value of the third reference data is determined.

Optionally, as an embodiment, the processor 310 determines the gain value corresponding to the second reference data, including:

Determine at least two second data among a plurality of second data, wherein at least two second data include: second data whose pitch angle is smaller than the pitch angle of the second reference data and pitch angles whose pitch angle is greater than the second reference data the second data of

According to the gain values corresponding to at least two second data, a one-dimensional interpolation algorithm is used to determine the gain value of the second reference data.

Optionally, as an embodiment, the processor 310 determines the gain value corresponding to the third reference data, including:

Determine at least two third data among a plurality of third data, wherein at least two third data include: the third data whose pitch angle is smaller than the pitch angle of the third reference data and the pitch angle whose pitch angle is larger than the third reference data the third data of

According to the gain values corresponding to at least two third data, a one-dimensional interpolation algorithm is used to determine the gain value of the third reference data.

Optionally, as an embodiment, the one-dimensional interpolation algorithm used by the processor 310 is a one-dimensional nearest neighbor interpolation method, a linear interpolation method, a cubic spline interpolation method, or a piecewise third-order Hermitian interpolation method.

Optionally, as an embodiment, the two-dimensional interpolation algorithm used by the processor 310 is a two-dimensional nearest neighbor interpolation method, a bilinear interpolation method, a cubic convolution method, or a Lagrangian interpolation method.

It should also be understood that, in the embodiment of the present invention, the device 300 for decompressing data according to the embodiment of the present invention may correspond to the execution subject of the method according to the embodiment of the present invention, and may also correspond to the device 100 for decompressing data, and The above-mentioned and other operations and/or functions of each module in the apparatus 300 are respectively for realizing corresponding processes of each method in FIGS.

Therefore, the device for decompressing data in the embodiment of the present invention can reconstruct the original antenna three-dimensional pattern accurately with a small amount of data by using the interpolation algorithm to reconstruct the antenna three-dimensional pattern according to the stored data, and can reduce the storage cost of the antenna .

Fig. 4 shows a schematic block diagram of an apparatus 400 for compressing data according to another embodiment of the present invention. As shown in FIG. 4 , the controller 400 includes a processor 410 , a memory 420 and a bus 430 . Wherein, the processor 410 and the memory 420 are connected through a bus system 430 , the memory 420 is used for storing instructions, and the processor 410 is used for executing the instructions stored in the memory 420 . Wherein, the processor 410 is used for:

Obtain the azimuth, elevation angle and gain value corresponding to the target data from multiple data, and the target data is the data corresponding to the point with the largest gain value in the antenna three-dimensional pattern;

From the plurality of data, determine a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the target data, a plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the target data, and a difference between the azimuth angle corresponding to the target data A plurality of third data of 180°;

Memory 420 is used for:

Storing multiple first data, multiple second data and multiple third data, so as to reconstruct the three-dimensional pattern of the antenna according to the multiple first data, multiple second data and multiple third data.

Therefore, the device for compressing data in the embodiment of the present invention obtains the data corresponding to the point with the largest gain value in the original data, and only stores a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value. A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value are used to reconstruct the three-dimensional antenna The pattern can reduce the required storage space and reduce the storage cost of the antenna.

It should be understood that, in the embodiment of the present invention, the processor 410 may be a central processing unit (Central Processing Unit, CPU), and the processor 410 may also be other general processors, digital signal processors (DSP), application specific integrated circuits ( ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The memory 420 may include read-only memory and random-access memory, and provides instructions and data to the processor 410 . A portion of memory 420 may also include non-volatile random access memory. For example, memory 420 may also store device type information.

In addition to the data bus, the bus system 430 may also include a power bus, a control bus, a status signal bus, and the like. However, for clarity of illustration, the various buses are labeled as bus system 430 in the figure.

In the implementation process, each step of the above method may be implemented by an integrated logic circuit of hardware in the processor 410 or instructions in the form of software. The steps of the methods disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory 420, and the processor 410 reads the information in the memory 420, and completes the steps of the above method in combination with its hardware. To avoid repetition, no detailed description is given here.

Optionally, as an embodiment, the plurality of second data determined by the processor 410 includes:

Data in which all the azimuth angles in the plurality of data are equal to the azimuth angles corresponding to the target data; and/or

The plurality of third data includes: all azimuth angles in the plurality of data differ from the azimuth angle corresponding to the target data by 180°.

Optionally, as an embodiment, the plurality of first data determined by the processor 410 includes:

According to the preset data interval rule, a plurality of data whose pitch angles are equal to the pitch angles corresponding to the target data are selected from the plurality of data.

Optionally, as an embodiment, the processor 410 is further configured to:

Read the stored data, the stored data includes a plurality of first data whose pitch angle is the first pitch angle, a plurality of second data whose azimuth angle is the first azimuth angle, and a plurality of third data whose azimuth angle is the second azimuth angle. Data, wherein the difference between the first azimuth angle and the second azimuth angle is 180°;

According to the stored data, determine the gain values corresponding to the first reference data, the second reference data and the third reference data; wherein, the azimuth angle corresponding to the first reference data is equal to the azimuth angle corresponding to the reconstructed data, and the first reference data The corresponding pitch angle is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angles corresponding to the reconstructed data, and the azimuth angle corresponding to the second reference data is the first azimuth angle, and the third reference data The azimuth corresponding to the reference data is the second azimuth;

According to the gain values corresponding to the first reference data, the second reference data and the third reference data, a two-dimensional interpolation algorithm is used to determine the gain value corresponding to the reconstructed data.

It should also be understood that, in the embodiment of the present invention, the device 400 for compressing data according to the embodiment of the present invention may correspond to the execution subject of the method according to the embodiment of the present invention, and may also correspond to the device 200 for compressing data, and the device The above-mentioned and other operations and/or functions of each module in 400 are respectively for realizing the corresponding flow of each method in FIG. 5 to FIG. 10 , and for the sake of brevity, details are not repeated here.

Therefore, the device for compressing data in the embodiment of the present invention obtains the data corresponding to the point with the largest gain value in the original data, and only stores a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value. A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value are used to reconstruct the three-dimensional antenna The pattern can reduce the required storage space and reduce the storage cost of the antenna.

The device for compressing data and the device for decompressing data according to an embodiment of the present invention are described above in conjunction with FIG. 1 to FIG. 4 . The method for compressing data and the device for decompressing data according to an embodiment of the present invention will be described in detail below in conjunction with FIG. 5 to FIG. 10 data method.

Fig. 5 shows a schematic flowchart of a method 500 for decompressing data according to an embodiment of the present invention, and the method 500 may be executed by an apparatus for decompressing data. As shown in FIG. 5, method 500 includes:

S510, read the stored data, the stored data includes a plurality of first data whose pitch angle is the first pitch angle, a plurality of second data whose azimuth angle is the first azimuth angle, and a plurality of data whose azimuth angle is the second azimuth angle The third data, wherein the difference between the first azimuth angle and the second azimuth angle is 180°;

S520. According to the stored data, determine the gain values corresponding to the first reference data, the second reference data, and the third reference data; wherein, the azimuth angle corresponding to the first reference data is equal to the azimuth angle corresponding to the reconstructed data, and the first The pitch angle corresponding to the reference data is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angles corresponding to the reconstructed data, and the azimuth angle corresponding to the second reference data is the first azimuth angle, The azimuth corresponding to the third reference data is the second azimuth;

S530. According to the gain values corresponding to the first reference data, the second reference data, and the third reference data, use a two-dimensional interpolation algorithm to determine a gain value corresponding to the reconstructed data.

Therefore, the method for decompressing data in the embodiment of the present invention can use a small amount of data to accurately reconstruct the original antenna three-dimensional pattern by using the interpolation algorithm to reconstruct the antenna three-dimensional pattern according to the stored data, and can reduce the storage cost of the antenna .

In S510, the stored data is read, and the stored data includes a plurality of first data whose elevation angle is a first elevation angle, a plurality of second data whose azimuth angle is a first azimuth angle, and a plurality of azimuth angles whose azimuth angle is a second azimuth angle A plurality of third data of , wherein the difference between the first azimuth angle and the second azimuth angle is 180°. The original antenna three-dimensional pattern usually contains more than ten thousand pieces of data. In these data, one can find the data corresponding to the point with the maximum gain value, and obtain the corresponding azimuth and elevation angle of the data. From the plurality of data, it can be determined that a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data of the above-mentioned maximum gain value point, and a plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data of the above-mentioned gain value maximum point , and a plurality of third data whose azimuth angles are 180° different from the azimuth angles corresponding to the data at the point of maximum gain value. As shown in Figure 6, these data correspond to the points on the horizontal section and the vertical section where the maximum gain point in the three-dimensional pattern of the antenna is located. Take the value of the azimuth angle from 0° to 360° and the value of the elevation angle from 0° to 180° as an example. If the data corresponding to the point with the maximum gain value corresponds to the azimuth angle of 0° and the elevation angle of 90°, then these stored The data exactly correspond to points in the horizontal pattern and points in the vertical pattern of the two-dimensional pattern, respectively.

In S520, a gain value of the reference data used for calculating the reconstructed data is determined. Specifically, the azimuth and elevation angles corresponding to the reconstructed data may be determined first. When determining the reconstructed data, the existing stored data may be analyzed first to determine the accuracy of the reconstructed data. For example, when analyzing the stored data, when the azimuth corresponding to the stored data starts from 0° and selects one data every 1°; the elevation angle also starts from 0° and selects one data every 1°, the reconstructed data The azimuth and elevation angles are also integer degrees.

Optionally, as an embodiment, when determining the gain value corresponding to the first reference data, the first reference data may be determined from a plurality of first data whose pitch angle is the first pitch angle, and determine the gain value corresponding to the first reference data The gain value, ie the first reference data from which the reconstructed data is calculated, is one of the stored data. In this case, the corresponding first data in the stored data may be directly used as the first reference data. For example, the azimuth angle corresponding to the reconstructed data is 20°, and the plurality of first data whose elevation angle is 90° in the stored data contains data with an azimuth angle of 20°, then the azimuth angle is 20° and the elevation angle is 90°. ° as the first reference data for subsequent interpolation calculations.

It should be understood that, for multiple pieces of data with the same pitch angle, when the azimuth angle changes, the change of the gain value is relatively gentle. According to this feature, in the embodiment of the present invention, when the stored first data does not contain qualified first reference data, at least two first data can be determined among multiple first data, wherein at least two first The data includes: the first data whose azimuth angle is smaller than the azimuth angle of the first reference data and the first data whose azimuth angle is larger than the azimuth angle of the first reference data; according to the gain values corresponding to at least two first data, a one-dimensional interpolation algorithm is used A gain value for the first reference data is determined. For example, the azimuth angle corresponding to the reconstructed data is 20°, and the multiple first data with the elevation angle of 90° in the stored data contains the data with the azimuth angles of 19° and 21°, but does not include the data with the azimuth angle of 20°. According to the gain value corresponding to the data whose azimuth angle is 19° and the elevation angle is 90° and the gain value corresponding to the data whose azimuth angle is 21° and the elevation angle is 90°, a one-dimensional interpolation algorithm can be used to determine that the azimuth angle is 20° The gain value corresponding to the data whose pitch angle is 90°. And the data with an azimuth angle of 20° and an elevation angle of 90° is used as the first reference data. Determine the gain value corresponding to the data with an azimuth angle of 20° and an elevation angle of 90° for subsequent interpolation calculations. It should be understood that if a one-dimensional difference algorithm is used to determine the gain value corresponding to the first reference data based on more than two gain values corresponding to the first data, the accuracy rate of the calculated gain value corresponding to the first reference data may be will improve. The embodiment of the present invention does not limit the number of data selected from the plurality of first data to calculate the first reference data.

Optionally, as an embodiment, determining the gain value corresponding to the second reference data may include: determining the second reference data among multiple second data, and determining the gain value of the second reference data; and/or determining the third reference data The gain value corresponding to the reference data may include: determining the third reference data among the plurality of third data, and determining the gain value of the third reference data. For example, the elevation angle corresponding to the reconstructed data is 80°, and when a plurality of second data with an elevation angle of 80° in the stored data contains data with an azimuth angle of 0°, then the azimuth angle is 0° and the elevation angle is The data at 80° is used as the second reference data. Determine the gain value corresponding to the data whose azimuth angle is 0° and the elevation angle is 80°, so as to be used for subsequent interpolation calculations. For another example, when the stored data includes data with an azimuth angle of 180° among the data with an elevation angle of 80°, the data with an azimuth angle of 180° and an elevation angle of 80° is used as the third reference data. Determine the gain value corresponding to the data with an azimuth angle of 180° and an elevation angle of 80° for subsequent interpolation calculations.

Optionally, as an embodiment, determining the gain value corresponding to the second reference data may include: determining at least two second data among multiple second data, wherein the at least two second data include: the pitch angle is smaller than the first The second data of the pitch angle of the two reference data and the second data of the pitch angle greater than the pitch angle of the second reference data; according to the gain values corresponding to at least two second data, a one-dimensional interpolation algorithm is used to determine the gain of the second reference data value. For example, the corresponding elevation angle of the reconstructed data is 80°, the stored data does not contain the data of the elevation angle of 80°, but contains the data of the azimuth angle of 0° and the elevation angle of 79° and the azimuth angle of 0° and the elevation angle of For the data of 81°, the azimuth angle can be determined by one-dimensional interpolation algorithm according to the gain value corresponding to the data whose azimuth angle is 0° and the elevation angle is 79° and the gain value corresponding to the data whose azimuth angle is 0° and the elevation angle is 81° is the gain value corresponding to the data whose elevation angle is 0° and 80°, and the data whose azimuth angle is 0° and the elevation angle is 80° is used as the second reference data. It should be understood that if a one-dimensional difference algorithm is used to determine the gain value corresponding to the second reference data based on more than two gain values corresponding to the second data, the accuracy of the calculated gain value corresponding to the second reference data may be will improve. The embodiment of the present invention does not limit the number of data selected from multiple second data to calculate the second reference data.

Optionally, as an embodiment, determining the gain value corresponding to the third reference data may include: determining at least two third data among multiple third data, wherein the at least two third data include: the pitch angle is smaller than the first The third data of the pitch angle of the three reference data and the third data of which the pitch angle is greater than the pitch angle of the third reference data; according to the gain values corresponding to at least two third data, a one-dimensional interpolation algorithm is used to determine the gain of the third reference data value. For example, the reconstructed data corresponds to a pitch angle of 80°, and the stored data does not contain data with a pitch angle of 80°, but contains data with an azimuth angle of 180° and a pitch angle of 79° and azimuth angles of 180° and a pitch angle of For the data of 81°, the azimuth angle can be determined by one-dimensional interpolation algorithm according to the gain value corresponding to the data whose azimuth angle is 180° and the elevation angle is 79° and the gain value corresponding to the data whose azimuth angle is 180° and the elevation angle is 81° It is the gain value corresponding to the data whose elevation angle is 80° of 180°, and the data whose azimuth angle is 180° and whose elevation angle is 80° is used as the third reference data. It should be understood that if the one-dimensional difference algorithm is used to determine the gain value corresponding to the third reference data based on more than two gain values corresponding to the third data, the accuracy rate of the calculated gain value corresponding to the third reference data may be will improve. The embodiment of the present invention does not limit the number of data selected from multiple third data to calculate the third reference data.

It should be understood that the one-dimensional interpolation algorithm used in the embodiment of the present invention may be a one-dimensional nearest neighbor interpolation method, a linear interpolation method, a cubic spline interpolation method or a piecewise third-order Hermitian interpolation method. In addition, other interpolation formulas may also be used, which is not limited in this embodiment of the present invention.

It should also be understood that the two-dimensional interpolation algorithm used in the embodiment of the present invention may be a two-dimensional nearest neighbor interpolation method, a bilinear interpolation method, a cubic convolution method or a Lagrangian interpolation method. In addition, other interpolation formulas may also be used, which is not limited in this embodiment of the present invention.

Therefore, the method for decompressing data in the embodiment of the present invention can use a small amount of data to accurately reconstruct the original antenna three-dimensional pattern by using the interpolation algorithm to reconstruct the antenna three-dimensional pattern according to the stored data, and can reduce the storage cost of the antenna .

Fig. 7 shows a schematic flowchart of a method 600 for compressing data according to an embodiment of the present invention, and the method 600 can be executed by an apparatus for compressing data. As shown in FIG. 7, method 600 includes:

S610, acquiring the azimuth angle, elevation angle and gain value corresponding to the target data from multiple data, where the target data is the data corresponding to the point with the largest gain value in the antenna three-dimensional pattern;

S620, determining a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the target data, a plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the target data, and azimuth corresponding to the target data from the plurality of data A plurality of third data whose angles differ by 180°;

S630. Store a plurality of first data, a plurality of second data, and a plurality of third data, so as to reconstruct a three-dimensional pattern of the antenna according to the plurality of first data, the plurality of second data, and the plurality of third data.

Therefore, in the method for compressing data in the embodiment of the present invention, by obtaining the data corresponding to the point with the largest gain value in the original data, only a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value are stored when storing A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value are used to reconstruct the three-dimensional antenna The pattern can reduce the required storage space and reduce the storage cost of the antenna.

It should be understood that for various antenna three-dimensional patterns, including special-shaped three-dimensional pattern, for example, a heart-shaped three-dimensional pattern, a saddle-shaped three-dimensional pattern, etc., a point with a maximum gain value can be found, and the point with the maximum gain value The corresponding data is the target data. From the point with the largest gain value, the data of the points on the horizontal section and vertical section passing through this point can be determined. Take the value of azimuth angle from 0° to 360° and the value of pitch angle from 0° to 180° as an example. If the data of the point with the largest gain value corresponds to the azimuth angle of 0° and the pitch angle of 90°, it can be determined Points in the horizontal direction diagram and points in the vertical direction diagram respectively corresponding to the two-dimensional direction diagram are used as stored data. The amount of these data accounts for only 1.11% of the original data amount, and the compression effect is very significant. Only storing these data with specific azimuth angles and specific elevation angles can save a lot of storage space.

Optionally, as an example, for a plurality of data with the same azimuth angle, when the elevation angle changes, the change of the gain value is more severe, therefore, when compressing data in this dimension, the data can be selected as dense as possible . Correspondingly, the plurality of second data in method 600 includes data in which all azimuth angles in the plurality of data are equal to the azimuth angles corresponding to the target data; and/or the plurality of third data includes all azimuth angles in the plurality of data that are equal to the target data The corresponding azimuth angles differ by 180°. It should be understood that the second data and the third data may also be selected according to a preset data interval rule, which is not limited in this embodiment of the present invention.

Optionally, as another embodiment, for multiple pieces of data with the same pitch angle, when the azimuth angle changes, the change of the gain value is relatively gentle. Therefore, when compressing data in this dimension, the data can be properly selected to be sparse. Correspondingly, the first data may be a plurality of data in which the pitch angle selected from the multiple data is equal to the pitch angle corresponding to the target data according to a preset data interval rule. For example, if the original data is valued at every 1° in the direction angle dimension, then when selecting the first data point, the value can be taken at intervals of 1°, or can be taken at equal intervals of 2° or 3°. This is not limited.

Optionally, as an embodiment, a plurality of reconstruction data may be obtained through an interpolation algorithm according to the stored data, and the three-dimensional pattern of the antenna may be reconstructed by using the reconstruction data. Correspondingly, as shown in FIG. 8, the method 600 further includes:

S640. Read the stored data. The stored data includes a plurality of first data whose pitch angle is the first pitch angle, a plurality of second data whose azimuth angle is the first azimuth angle, and a plurality of data whose azimuth angle is the second azimuth angle. The third data, wherein the difference between the first azimuth angle and the second azimuth angle is 180°;

S650, according to the stored data, determine the gain values corresponding to the first reference data, the second reference data, and the third reference data; wherein, the azimuth angle corresponding to the first reference data is equal to the azimuth angle corresponding to the reconstructed data, and the first The pitch angle corresponding to the reference data is the first pitch angle; the pitch angles corresponding to the second reference data and the third reference data are equal to the pitch angles corresponding to the reconstructed data, and the azimuth angle corresponding to the second reference data is the first azimuth angle, The azimuth corresponding to the third reference data is the second azimuth;

S660. According to the gain values corresponding to the first reference data, the second reference data, and the third reference data, use a two-dimensional interpolation algorithm to determine a gain value corresponding to the reconstructed data.

Therefore, in the method for compressing data in the embodiment of the present invention, by obtaining the data corresponding to the point with the largest gain value in the original data, only a plurality of first data whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value are stored when storing A plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value are used to reconstruct the three-dimensional antenna The pattern can reduce the required storage space and reduce the storage cost of the antenna.

The methods for compressing data and decompressing data are respectively described above with reference to FIG. 5 to FIG. 8 . The method for compressing data and decompressing data according to the embodiment of the present invention will be described in more detail below with reference to FIG. 9 and FIG. 10 by using specific examples.

As shown in Figure 9, taking an azimuth angle in the range of 0° to 360° and an elevation angle in the range of 0° to 180° as an example, the data of the three-dimensional pattern of the antenna to be compressed is expressed in a two-dimensional table Come out, each row corresponds to a different pitch angle, and each column corresponds to a different azimuth angle, and the corresponding gain value is filled in the square corresponding to each azimuth angle and each pitch angle. The data of the three-dimensional pattern of the antenna to be compressed starts from 0° in the azimuth one-dimensional, and the value is taken every 1°, and there are 360 data in each row; value, each column has a total of 181 data. Therefore, there are 181×360=65160 data in the antenna three-dimensional pattern to be compressed.

When compressing data, select the data with the largest gain value from the 65160 data. For example, as shown in FIG. 9 , the data is A, and the corresponding azimuth angle is 0° and the elevation angle is 90°. Extract all data with an azimuth angle of 0°, a total of 181; extract all data with an azimuth angle of 180°, a total of 181; extract all data with an elevation angle of 90°, a total of 360, remove duplicates data, a total of 720 data. These 720 pieces of data can be stored as compressed data, and the required storage space is only 1.1% of the required storage space before compression, and the compression effect is remarkable. Optionally, the azimuth angle 0° and the elevation angle 90° corresponding to the data with the largest gain value may also be stored for convenient use when decompressing the data. It should be understood that the azimuth angle and the elevation angle may be calculated from stored data, and thus the azimuth angle and the elevation angle may not be stored, which is not limited in this embodiment of the present invention.

When decompressing data, the stored data is first read. Visually, if the stored data is still filled in the table shown in FIG. 9 , the stored data can be filled into the shaded part in FIG. 9 . Then determine the data to be reconstructed, for example, the reconstructed data B shown in FIG. 9 . The azimuth angle corresponding to reconstructed data B is 177° and the elevation angle is 88°. It can be seen that the stored data includes data with an azimuth angle of 177° and an elevation angle of 90°, data with an azimuth angle of 0° and an elevation angle of 88°, and data with an azimuth angle of 180° and an elevation angle of 88°. According to the gain values corresponding to the data with a pitch angle of 177° and a pitch angle of 90°, the data with an azimuth angle of 0° and a pitch angle of 88°, and the data with an azimuth angle of 180° and a pitch angle of 88°, the two-dimensional interpolation algorithm can be used to obtain Obtain the gain value corresponding to the reconstructed data B. Similarly, other reconstruction data in FIG. 9 can be obtained, and the three-dimensional pattern of the antenna can be reconstructed according to these reconstruction data and stored data.

Fig. 10 is another example where the azimuth angle takes a value in the range of 0°-360°, and the elevation angle takes a value in the range of 0°-180°. Same as the example shown in FIG. 5 , there are 181×360=65160 data in the antenna three-dimensional pattern to be compressed. The data A with the largest gain value corresponds to an azimuth angle of 0° and an elevation angle of 90°.

When compressing the data, extract all the data with the azimuth angle of 0°, a total of 181; extract all the data with an azimuth angle of 180°, a total of 181; extract the data with an elevation angle of 90° in the azimuth one-dimensional One is extracted every 2°, that is, data with azimuth angles of 0°, 2°, 4°, ..., 356°, 358° are extracted, a total of 180 data, and duplicate data are removed, a total of 540 data. These 540 data can be stored as compressed data, and the required storage space is only 0.83% of the required storage space before compression, and the compression effect is very remarkable. Optionally, the azimuth angle 0° and the elevation angle 90° corresponding to the data with the largest gain value may also be stored for convenient use when decompressing the data. It should be understood that the azimuth angle and the elevation angle may be calculated from stored data, and thus the azimuth angle and the elevation angle may not be stored, which is not limited in this embodiment of the present invention.

When decompressing data, the stored data is first read. Visually, if the stored data is still filled in the table shown in Figure 10, the stored data can be filled into the shaded part in Figure 10. Then determine the data to be reconstructed, for example, the reconstructed data C shown in FIG. 10 . The azimuth angle corresponding to the reconstructed data C is 178° and the elevation angle is 88°. It can be seen that the stored data includes data with an azimuth angle of 178° and an elevation angle of 90°, data with an azimuth angle of 0° and an elevation angle of 88°, and data with an azimuth angle of 180° and an elevation angle of 88°. According to the gain values corresponding to the data with an azimuth angle of 178° and an elevation angle of 90°, the data with an azimuth angle of 0° and an elevation angle of 88°, and the data with an azimuth angle of 180° and an elevation angle of 88°, use two-dimensional interpolation Algorithm, the gain value corresponding to the reconstructed data C can be obtained. It should be understood that other reconstructed data similar to the reconstructed data C in FIG. 10 can be obtained, and for these reconstructed data, data corresponding to azimuth angles and elevation angles meeting the conditions can be found in the stored data. According to these reconstructed data and stored data, the three-dimensional pattern of the antenna can be reconstructed.

In this example, more reconstructed data, such as data D shown in FIG. 10 , can be further obtained. The azimuth angle of data D is 9° and the elevation angle is 90°. According to the data in the stored data, the azimuth angle is 8°, the elevation angle is 90°, and the azimuth angle is 10°, and the elevation angle is 90°. value, use the one-dimensional interpolation algorithm to obtain the gain value corresponding to the data D. After obtaining the gain value of the data D, the data D can be used as the reference data. According to the gain value corresponding to the reference data D, the gain value corresponding to the data whose azimuth angle is 0° and the elevation angle is 92° and the azimuth angle is 180° The elevation angle is The gain value corresponding to the 92° data can be obtained by using the two-dimensional interpolation algorithm to obtain the gain value corresponding to the reconstructed data E, where the azimuth angle corresponding to the reconstructed data E is 9° and the elevation angle is 92°. It should be understood that, similarly, a plurality of reconstructed data can also be obtained by using the above method. According to the reconstruction data C and multiple similar reconstruction data, data D and multiple similar data, reconstruction data E and multiple similar reconstruction data and stored data, the three-dimensional direction of the antenna can be reconstructed picture.

It should be understood that the process of decompressing data may be an iterative process, that is, one-dimensional interpolation algorithm may be used to determine reference data, and then reconstructed data may be determined based on reference data, and then more reference data and data may be determined based on currently existing data. Restructure data.

Therefore, in the method for compressing data and the method for decompressing data in the embodiment of the present invention, by obtaining the data corresponding to the point with the largest gain value in the original data, only the points whose pitch angle is equal to the pitch angle corresponding to the data with the largest gain value are stored during storage. A plurality of first data, a plurality of second data whose azimuth angle is equal to the azimuth angle corresponding to the data with the largest gain value, and a plurality of third data whose azimuth angle is 180° different from the azimuth angle corresponding to the data with the largest gain value, and according to The stored data uses an interpolation algorithm to accurately reconstruct the three-dimensional pattern of the antenna, which can reduce the storage cost of the antenna.

It should be understood that in the embodiment of the present invention, "Y corresponding to X" means that Y is associated with X, and Y can be determined according to X. However, it should also be understood that determining Y based on X does not mean determining Y only based on X, and that Y may also be determined based on X and/or other information.

Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the relationship between hardware and software Interchangeability. In the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may also be electrical, mechanical or other forms of connection.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of software products, and the computer software products are stored in a storage medium Among them, several instructions are included to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and other media that can store program codes.

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the present invention. Modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (24)

1. it is a kind of decompression data device, it is characterised in that described device includes：

Read module, for reading the data of storage, the data of the storage include multiple that the angle of pitch is first angle of pitch Multiple 3rd data of one data, multiple second data that azimuth is first party parallactic angle and azimuth for second party parallactic angle, its Described in 180 ° of first party parallactic angle and the second party bearing difference；

First determining module, the data of the storage for being read according to the read module, determine the first reference data, Two reference datas and the corresponding yield value of the 3rd reference data；Wherein, the corresponding azimuth of first reference data and reconstruct The corresponding azimuth of data is equal, and the corresponding angle of pitch of first reference data is first angle of pitch；Described Two reference datas and the corresponding angle of pitch of the 3rd reference data are equal with the corresponding angle of pitch of the reconstruct data, and institute The corresponding azimuth of the second reference data is stated for the first party parallactic angle, the corresponding azimuth of the 3rd reference data is described Second party parallactic angle；

Second determining module, for determined according to first determining module first reference data, the second reference data With the corresponding yield value of the 3rd reference data, the corresponding yield value of the reconstruct data is determined using two-dimensional interpolation algorithm.

2. device according to claim 1, it is characterised in that first determining module specifically for：

First reference data is determined in the plurality of first data, and determines the corresponding gain of first reference data Value.

3. device according to claim 1, it is characterised in that first determining module specifically for：

At least two first data are determined in the plurality of first data, wherein, described at least two first data include：Side Parallactic angle is less than the orientation of azimuthal first data of first reference data and azimuth more than first reference data First data at angle；

According to the corresponding yield value of described at least two first data, the increasing of the first reference data is determined using one-dimensional interpolation algorithm Benefit value.

4. device according to claim 1, it is characterised in that first determining module is specifically additionally operable to：

Second reference data is determined in the plurality of second data, and determines the yield value of the second reference data；And/or

First determining module is specifically additionally operable to：

The 3rd reference data is determined in the plurality of 3rd data, and determines the yield value of the 3rd reference data.

5. device according to claim 1, it is characterised in that first determining module is specifically additionally operable to：

At least two second data are determined in the plurality of second data, wherein, described at least two second data include：Bow The elevation angle is less than the pitching of the second data and the angle of pitch more than second reference data of the angle of pitch of second reference data Second data at angle；

According to the corresponding yield value of described at least two second data, the increasing of the second reference data is determined using one-dimensional interpolation algorithm Benefit value.

6. device according to claim 1, it is characterised in that first determining module is specifically additionally operable to：

At least two the 3rd data are determined in the plurality of 3rd data, wherein, described at least two the 3rd data include：Bow The elevation angle is less than the pitching of the 3rd data and the angle of pitch more than the 3rd reference data of the angle of pitch of the 3rd reference data 3rd data at angle；

According to the corresponding yield value of described at least two the 3rd data, the increasing of the 3rd reference data is determined using one-dimensional interpolation algorithm Benefit value.

7. the device according to claim 3,5 or 6, it is characterised in that the one-dimensional interpolation algorithm closest is inserted for one-dimensional Value method, linear interpolation method, three rank Hermite's interpolation methods of cubic spline interpolation or segmentation.

8. device according to claim 1, it is characterised in that the two-dimensional interpolation algorithm be two-dimentional closest interpolation method, Bilinear interpolation value method, cubic convolution method or Lagrange's interpolation.

9. a kind of device of compressed data, it is characterised in that include：

Acquisition module, for the corresponding azimuth of target data, the angle of pitch and yield value, the target are obtained from multiple data Data are the maximum corresponding data of point of yield value in antenna three-dimensional figure；

First determining module, for the number of targets that the determination angle of pitch from the plurality of data is obtained with the acquisition module According to equal multiple first data of the corresponding angle of pitch, azimuth it is equal with the corresponding azimuth of the target data multiple Two data and azimuth azimuth corresponding with the target data differs 180 ° of multiple 3rd data；

Memory module, for storing the plurality of first data, the plurality of second data that first determining module determines With the plurality of 3rd data, in order to according to the plurality of first data, the plurality of second data and the plurality of 3rd Antenna three-dimensional figure described in data reconstruction.

10. device according to claim 9, it is characterised in that first determining module determine the plurality of second Data include：

All azimuths data equal with the corresponding azimuth of the target data in the plurality of data；And/or

The plurality of 3rd data that first determining module determines include：In the plurality of data all azimuths with it is described The corresponding azimuth of target data differs 180 ° of data.

11. devices according to claim 9 or 10, it is characterised in that it is the plurality of that first determining module determines First data include：

According to default data break rule, the angle of pitch chosen from the plurality of data is corresponding with the target data to bow The equal multiple data in the elevation angle.

12. devices according to claim 9, it is characterised in that described device also includes：

Read module, for reading the data of storage, the data of the storage include multiple that the angle of pitch is first angle of pitch Multiple 3rd data of one data, multiple second data that azimuth is first party parallactic angle and azimuth for second party parallactic angle, its Described in 180 ° of first party parallactic angle and the second party bearing difference；

Second determining module, the data of the storage for being read according to the read module, determine the first reference data, Two reference datas and the corresponding yield value of the 3rd reference data；Wherein, the corresponding azimuth of first reference data and reconstruct The corresponding azimuth of data is equal, and the corresponding angle of pitch of first reference data is first angle of pitch；Described Two reference datas and the corresponding angle of pitch of the 3rd reference data are equal with the corresponding angle of pitch of the reconstruct data, and institute The corresponding azimuth of the second reference data is stated for the first party parallactic angle, the corresponding azimuth of the 3rd reference data is described Second party parallactic angle；

3rd determining module, for determined according to second determining module first reference data, the second reference data With the corresponding yield value of the 3rd reference data, the corresponding yield value of the reconstruct data is determined using two-dimensional interpolation algorithm.

A kind of 13. methods of decompression data, it is characterised in that methods described includes：

The data of storage are read, the data of the storage include that the angle of pitch is multiple first data of first angle of pitch, azimuth Multiple threeth data of multiple second data and azimuth for first party parallactic angle for second party parallactic angle, wherein the first orientation 180 ° of angle and the second party bearing difference；

According to the data of the storage, the first reference data, the second reference data and the corresponding gain of the 3rd reference data are determined Value；Wherein, the corresponding azimuth of first reference data is equal with the corresponding azimuth of reconstruct data, and first ginseng The corresponding angle of pitch of data is examined for first angle of pitch；Second reference data and the 3rd reference data is corresponding bows The elevation angle is equal with the corresponding angle of pitch of the reconstruct data, and the corresponding azimuth of second reference data is described first Azimuth, the corresponding azimuth of the 3rd reference data are the second party parallactic angle；

According to first reference data, the second reference data and the corresponding yield value of the 3rd reference data, using two-dimensional interpolation Algorithm determines the corresponding yield value of the reconstruct data.

14. method according to claim 13, it is characterised in that the corresponding yield value of the first reference data of the determination, Including：

First reference data is determined in the plurality of first data, and determines the corresponding gain of first reference data Value.

15. methods according to claim 13, it is characterised in that the corresponding yield value of the first reference data of the determination, Including：

At least two first data are determined in the plurality of first data, wherein, described at least two first data include：Side Parallactic angle is less than the orientation of azimuthal first data of first reference data and azimuth more than first reference data First data at angle；

According to the corresponding yield value of described at least two first data, the increasing of the first reference data is determined using one-dimensional interpolation algorithm Benefit value.

16. methods according to claim 13, it is characterised in that the corresponding yield value of the second reference data of the determination, Including：

Second reference data is determined in the plurality of second data, and determines the yield value of the second reference data；And/or

The corresponding yield value of the 3rd reference data of the determination, including：

The 3rd reference data is determined in the plurality of 3rd data, and determines the yield value of the 3rd reference data.

17. methods according to claim 13, it is characterised in that the corresponding yield value of the second reference data of the determination, Including：

At least two second data are determined in the plurality of second data, wherein, described at least two second data include：Bow The elevation angle is less than the pitching of the second data and the angle of pitch more than second reference data of the angle of pitch of second reference data Second data at angle；

According to the corresponding yield value of described at least two second data, the increasing of the second reference data is determined using one-dimensional interpolation algorithm Benefit value.

18. methods according to claim 13, it is characterised in that the corresponding yield value of the 3rd reference data of the determination, Including：

At least two the 3rd data are determined in the plurality of 3rd data, wherein, described at least two the 3rd data include：Bow The elevation angle is less than the pitching of the 3rd data and the angle of pitch more than the 3rd reference data of the angle of pitch of the 3rd reference data 3rd data at angle；

According to the corresponding yield value of described at least two the 3rd data, the increasing of the 3rd reference data is determined using one-dimensional interpolation algorithm Benefit value.

19. methods according to claim 15,17 or 18, it is characterised in that the one-dimensional interpolation algorithm is one-dimensional most adjacent Nearly interpolation method, linear interpolation method, three rank Hermite's interpolation methods of cubic spline interpolation or segmentation.

20. methods according to claim 13, it is characterised in that the two-dimensional interpolation algorithm is two-dimentional closest interpolation Method, bilinear interpolation value method, cubic convolution method or Lagrange's interpolation.

A kind of 21. methods of compressed data, it is characterised in that include：

The corresponding azimuth of target data, the angle of pitch and yield value are obtained from multiple data, the target data is antenna three The maximum corresponding data of point of yield value in dimension directional diagram；

The angle of pitch multiple first data equal with the corresponding angle of pitch of the target data, side are determined from the plurality of data Parallactic angle multiple second data equal with the corresponding azimuth of the target data and azimuth are corresponding with the target data Azimuth differs 180 ° of multiple 3rd data；

The plurality of first data, the plurality of second data and the plurality of 3rd data are stored, in order to according to described many Individual first data, the plurality of second data and antenna three-dimensional figure described in the plurality of 3rd data reconstruction.

22. methods according to claim 21, it is characterised in that the plurality of second data include：

All azimuths data equal with the corresponding azimuth of the target data in the plurality of data；And/or

The plurality of 3rd data include：All azimuths azimuth phase corresponding with the target data in the plurality of data Differ from 180 ° of data.

23. methods according to claim 21 or 22, it is characterised in that the plurality of first data include：

According to default data break rule, the angle of pitch chosen from the plurality of data is corresponding with the target data to bow The equal multiple data in the elevation angle.

24. methods according to claim 21, it is characterised in that methods described also includes：

The data of storage are read, the data of the storage include that the angle of pitch is multiple first data of first angle of pitch, azimuth Multiple threeth data of multiple second data and azimuth for first party parallactic angle for second party parallactic angle, wherein the first orientation 180 ° of angle and the second party bearing difference；

According to the data of the storage, the first reference data, the second reference data and the corresponding gain of the 3rd reference data are determined Value；Wherein, the corresponding azimuth of first reference data is equal with the corresponding azimuth of reconstruct data, and first ginseng The corresponding angle of pitch of data is examined for first angle of pitch；Second reference data and the 3rd reference data is corresponding bows The elevation angle is equal with the corresponding angle of pitch of the reconstruct data, and the corresponding azimuth of second reference data is described first Azimuth, the corresponding azimuth of the 3rd reference data are the second party parallactic angle；

According to first reference data, the second reference data and the corresponding yield value of the 3rd reference data, using two-dimensional interpolation Algorithm determines the corresponding yield value of the reconstruct data.