CN115226197A - Frame timing synchronization method, device and electronic device for wireless communication - Google Patents

Abstract

Embodiments of the present application provide a frame timing synchronization method, device, electronic device, and storage medium for wireless communication, wherein the method includes: acquiring a local frame synchronization header sequence; acquiring air interface data; according to the local frame synchronization header sequence and the air interface Perform sliding window cross-correlation processing on the data to obtain a metric function; perform threshold judgment on the metric function to obtain an index value set; perform a maximum value judgment on the index value set to obtain a frame synchronization position. By implementing the embodiments of the present application, the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.

Description

Frame timing synchronization method, device and electronic device for wireless communication

technical field

The present application relates to the technical field of wireless communication, and in particular, to a frame timing synchronization method, apparatus, and electronic device for wireless communication.

Background technique

In the existing wireless communication timing synchronization technology, a known digital communication sequence predefined by the receiving end and the transmitting end can be used as the communication synchronization unit. The result is used as a metric function to obtain the synchronization position index value by means of threshold threshold judgment, thereby realizing frame timing synchronization.

However, in a complex wireless communication channel environment, the result of the correlation operation will decrease as the signal-to-noise ratio decreases, and in the case of a multipath fading channel, there will be multiple adjacent interference peaks in the result of the correlation operation. In this case, The selection of threshold and metric function has a great influence on the accuracy of timing synchronization.

The relative computational complexity is high and requires large hardware resources to implement. In the case of low signal-to-noise ratio and wireless fading channel, the peak value of correlation operation will be greatly affected. When using the preset threshold to determine the peak value, there will be a high probability of missed detection and false alarm, and the synchronization performance will be degraded.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to provide a frame timing synchronization method, device, and electronic device for wireless communication, which improves the frame synchronization performance, makes the obtained frame synchronization position more accurate, and simplifies the calculation process.

In a first aspect, an embodiment of the present application provides a frame timing synchronization method for wireless communication, and the method includes:

Get the local frame sync header sequence;

Get air interface data;

Perform sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data to obtain a metric function;

Performing a threshold threshold judgment on the metric function to obtain an index value set;

The maximum value judgment is performed on the index value set to obtain the frame synchronization position.

In the above implementation process, the frame synchronization position is obtained by performing sliding-window cross-correlation processing on the local frame synchronization header sequence and the air interface data, and then performing a threshold threshold judgment on the metric function, which improves the frame synchronization performance and makes the obtained frame synchronization position More accurate and simplified calculation process.

Further, the step of obtaining the local frame synchronization header sequence includes:

Get the first length sequence;

performing a zero-padding operation on the first length sequence to obtain a second length sequence;

Inverse discrete Fourier transform is performed on the second length sequence to obtain the local frame synchronization header sequence.

In the above implementation process, the second length sequence is obtained according to the first length sequence, and the inverse discrete Fourier transform is performed on the second length sequence to obtain the local frame synchronization header sequence, which can reduce the error in the calculation process, so that the The local frame sync header sequence is more accurate.

Further, the step of performing a threshold threshold judgment on the metric function to obtain an index value set includes:

Performing a fixed threshold threshold judgment on the metric function to obtain a metric function after the fixed threshold threshold judgment;

Performing a dynamic threshold threshold judgment on the metric function to obtain a metric function after the dynamic threshold threshold judgment;

The index value set is obtained according to the metric function after the fixed threshold threshold value judgment and the metric function after the dynamic threshold threshold value judgment.

In the above implementation process, the threshold value judgment of the metric function can reduce the influence of noise on the frame synchronization performance, improve the accuracy of the index in the frame synchronization process, and can effectively reduce the impact of multipath channels on the frame synchronization performance.

Further, the step of performing a fixed threshold threshold judgment on the metric function to obtain the metric function after the fixed threshold threshold judgment includes:

Get a fixed threshold threshold;

According to the fixed threshold threshold, a fixed threshold threshold value judgment is performed on the metric function to obtain a metric function after the fixed threshold threshold value judgment.

In the above implementation process, the metric function is determined with a fixed threshold threshold according to the fixed threshold, which can reduce the error of the metric function on frame synchronization, and make the obtained frame synchronization position more accurate.

Further, the step of performing a dynamic threshold threshold judgment on the metric function to obtain the metric function after the dynamic threshold threshold judgment includes:

Get the dynamic threshold threshold;

Perform dynamic threshold threshold judgment on the metric function according to the dynamic threshold threshold to obtain the metric function after the dynamic threshold threshold judgment.

In the above implementation process, the dynamic threshold threshold judgment is performed on the metric function according to the dynamic threshold threshold, which can reduce the influence of noise on the frame synchronization and ensure the accuracy of the frame synchronization position.

Further, the step of performing a maximum value judgment on the index value set to obtain the frame synchronization position includes:

obtaining the metric function value in the index value set;

The index value corresponding to the largest metric function value among the metric function values is selected as the frame synchronization position.

In the above implementation process, the index value corresponding to the largest metric function value in the metric function value is used as the frame synchronization position, which can reduce the error of the frame synchronization position, simplify the operation process, and save time.

Further, sliding-window cross-correlation processing is performed on the local frame synchronization header sequence and the air interface data by the following formula to obtain the metric function:

Wherein, D(k) is the metric function, R(k) is the result of the sliding window cross-correlation operation, P ₁ is the power sum of the local frame synchronization header sequence, and P ₂ (k) is the power of the air interface data and, x(n) is the local frame synchronization header sequence, r(n) is the air interface data, N is the window length, i is the sample sequence number corresponding to the window length, and k is the starting window corresponding to each sliding window. starting point position.

Further, the dynamic threshold threshold is obtained by the following formula:

)。Among them, λ(k) is the dynamic threshold threshold, μ is the dynamic threshold coefficient, i is the sample sequence number corresponding to the window length, k is the starting point position of the window corresponding to each sliding window, and M is the accumulation of the metric function length, D(k) is the metric function (k is assigned as

).

In a second aspect, an embodiment of the present application further provides a frame timing synchronization device for wireless communication, the device comprising:

The acquisition module is used to acquire the local frame synchronization header sequence; it is also used to acquire air interface data;

a sliding-window cross-correlation module, configured to perform sliding-window cross-correlation processing according to the local frame synchronization header sequence and air interface data to obtain a metric function;

a judgment module, configured to perform threshold threshold judgment on the metric function to obtain an index value set;

The selection module is used for performing maximum value judgment on the index value set to obtain the frame synchronization position.

In the above implementation process, the frame synchronization position is obtained by performing sliding-window cross-correlation processing on the local frame synchronization header sequence and the air interface data, and then performing a threshold threshold judgment on the metric function, which improves the frame synchronization performance and makes the obtained frame synchronization position More accurate and simplified calculation process.

In a third aspect, an electronic device provided by an embodiment of the present application includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program When implementing the steps of the method according to any one of the first aspects.

In a fourth aspect, a computer-readable storage medium provided by an embodiment of the present application stores instructions on the storage medium, and when the instructions are executed on a computer, the computer is made to execute as described in any one of the first aspect. method described.

In a fifth aspect, an embodiment of the present application provides a computer program product, which, when running on a computer, causes the computer to execute the method according to any one of the first aspects.

Additional features and advantages of the present disclosure will be set forth in the description that follows, or some may be inferred or unambiguously determined from the description, or may be learned by practicing the above-described techniques of the present disclosure.

It can be implemented in accordance with the content of the specification, and the preferred embodiments of the present application and the accompanying drawings are described in detail as follows.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, so It should not be regarded as a limitation of the scope. For those of ordinary skill in the art, other related drawings can also be obtained from these drawings without any creative effort.

FIG. 1 is a schematic flowchart of a frame timing synchronization method for wireless communication according to an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a frame timing synchronization apparatus for wireless communication according to an embodiment of the present application;

FIG. 3 is a schematic structural composition diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

It should be noted that like numerals and letters refer to like items in the following figures, so once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

The specific implementations of the present application will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are used to illustrate the present application, but are not intended to limit the scope of the present application.

Example 1

FIG. 1 is a schematic flowchart of a frame timing synchronization method for wireless communication provided by an embodiment of the present application. As shown in FIG. 1 , the method includes:

S1, obtain the local frame synchronization header sequence;

S2, obtain air interface data;

S3, perform sliding window cross-correlation processing on the local frame synchronization header sequence and air interface data to obtain a metric function;

S4, perform a threshold threshold judgment on the metric function to obtain an index value set;

S5, the maximum value judgment is performed on the index value set to obtain the frame synchronization position.

In the above implementation process, the frame synchronization position is obtained by performing sliding-window cross-correlation processing on the local frame synchronization header sequence and the air interface data, and then performing a threshold threshold judgment on the metric function, which improves the frame synchronization performance and makes the obtained frame synchronization position More accurate and simplified calculation process.

Further, S1 includes:

Get the first length sequence;

Perform a zero-padding operation on the first length sequence to obtain a second length sequence;

Inverse discrete Fourier transform is performed on the second length sequence to obtain the local frame synchronization header sequence.

In the above implementation process, the second length sequence is obtained according to the first length sequence, and the inverse discrete Fourier transform is performed on the second length sequence to obtain the local frame synchronization header sequence, which can reduce the error in the calculation process, so that the The local frame sync header sequence is more accurate.

Exemplarily, a first length sequence d(n) of length 62, having power profile properties and good autocorrelation and cross-correlation properties, can be generated by:

The first length sequence d(n) is filled with zeros on both sides to generate the second length sequence z(n), which is defined as [0,....0,d(0),,,,,d(61), 0,...0], with 33 zeros on both sides, and the length of the sequence z(n) is 128.

Perform an inverse discrete Fourier transform on the sequence z(n) to generate a local frame sync header sequence x(n) with a length of 128.

Further, in S3, the local frame synchronization header sequence and the air interface data are subjected to sliding-window cross-correlation processing by the following formula to obtain a metric function:

Among them, D(k) is the metric function, R(k) is the result of the sliding window cross-correlation operation, P ₁ is the power sum of the local frame synchronization header sequence, P ₂ (k) is the power sum of the air interface data, x(n) is the local frame synchronization header sequence, r(n) is the air interface data, N is the window length, i is the sample sequence number corresponding to the window length, and k is the starting point position of the window corresponding to each sliding window.

Sliding window cross-correlation is to store and store the samples received at the current moment and the samples received before this moment. Exemplarily, the correlation processing is performed on the local frame synchronization header sequence and the air interface data, and the result is R(0), wherein the local frame synchronization header sequence is a sequence x(n) composed of 127 samples, and the air interface data is composed of 128 samples. The sequence r(n), the operation length 128 is defined as the sliding window length, the sample received at the next moment and the sequence x(n) composed of the 127 samples received and stored before this moment and the sequence r(n) composed of the 128 samples n) Carry out correlation operation, the result is R(1), and operate in sequence, this process is called sliding window cross-correlation operation. The essence of the sliding window cross-correlation operation is to use the air interface data r(n) to search and receive the most similar piece of data to r(n) in the local frame synchronization header sequence. When the similarity is the strongest, the value of R(k) is the largest.

Exemplarily, when the window length is 128, that is, the length of the local frame synchronization header sequence, the sliding window is that each received sample and the previously received 127 samples are composed of r(n) and x(n) for cross-correlation. operation, its expression is as follows:

Generate the following metric function:

where P ₁ and P ₂ (k) are respectively defined as follows:

Further, S4 includes:

Perform a fixed threshold threshold decision on the metric function to obtain the metric function after the fixed threshold threshold decision;

Perform dynamic threshold threshold judgment on the metric function, and obtain the metric function after the dynamic threshold threshold judgment;

The index value set is obtained according to the metric function after the fixed threshold threshold value judgment and the metric function after the dynamic threshold threshold value judgment.

In the above implementation process, the threshold value judgment of the metric function can reduce the influence of noise on the frame synchronization performance, improve the accuracy of the index in the frame synchronization process, and can effectively reduce the impact of multipath channels on the frame synchronization performance.

The metric function D(k) is determined with a fixed threshold and the value of k is recorded when the value of D(k) is greater than the fixed threshold. The fixed threshold in this embodiment of the present application is obtained through simulation. During simulation, the fixed threshold actually changes dynamically with the signal-to-noise ratio. According to the actual simulation, the fixed threshold when the signal-to-noise ratio is -5dB is taken as the metric function D(k) The fixed threshold threshold δ of , which is 0.058.

Further, the metric function is subjected to a fixed threshold threshold judgment, and the steps of obtaining the metric function after the fixed threshold threshold judgment include:

Get a fixed threshold threshold;

According to the fixed threshold threshold, the metric function is judged by the fixed threshold threshold, and the metric function after the fixed threshold threshold judgment is obtained.

In the above implementation process, the metric function is determined with a fixed threshold threshold according to the fixed threshold, which can reduce the error of the metric function on frame synchronization, and make the obtained frame synchronization position more accurate.

The purpose of the threshold threshold decision on the metric function R(k) is to find the R(k) with the strongest correlation and determine the possible effective synchronization position. R(k) less than the fixed threshold is considered invalid, and R(k) greater than the fixed threshold is judged by the dynamic threshold.

Further, the dynamic threshold threshold judgment is performed on the metric function, and the step of obtaining the metric function after the dynamic threshold threshold judgment includes:

Get the dynamic threshold threshold;

According to the dynamic threshold threshold value, the metric function is judged by the dynamic threshold threshold value, and the metric function after the dynamic threshold threshold value judgment is obtained.

In the above implementation process, the dynamic threshold threshold judgment is performed on the metric function according to the dynamic threshold threshold, which can reduce the influence of noise on the frame synchronization and ensure the accuracy of the frame synchronization position.

Further, the dynamic threshold threshold is obtained by the following formula:

)。Among them, λ(k) is the dynamic threshold threshold, μ is the dynamic threshold coefficient, i is the sample number corresponding to the window length, k is the starting point position of the window corresponding to each sliding window, M is the accumulated length of the metric function, D( k) is the metric function (k is assigned as

).

Due to the influence of random noise in the transmission channel, the result of the sliding window cross-correlation operation R(k) at the receiving end fluctuates, that is, the weak correlation may be enhanced, and the strong correlation may be weakened. Therefore, the dynamic threshold is used to determine R(k), In order to reduce the influence of noise, if it is smaller than the dynamic threshold, it is considered invalid, and if it is larger than the fixed threshold, the corresponding k value is considered as a possible valid synchronization position.

Exemplarily, when the dynamic threshold threshold is determined for the metric function D(k), the k value when the value of D(k) is greater than the dynamic threshold threshold is recorded. The dynamic threshold λ(k) corresponding to the index k value is obtained by taking the value of the first 18 samples of the current D(k), the value of the current D(k) and the value of the last 19 samples of the current D(k). The mean value is obtained, where the value of μ determines the probability of false alarm and the probability of missed detection when the dynamic threshold threshold is judged. If the value of μ is too large, the probability of false alarm will be larger, and the probability of missed detection will be smaller. On the contrary, the probability of false alarm will be smaller. The greater the probability of missed detection. The μ value in this embodiment of the present application is obtained through modeling and simulation. As the dynamic threshold λ of the metric function D(k), it is necessary to ensure that the packet error rate is controlled within 1% when the signal-to-noise ratio is greater than -5dB, and the value of μ is 5.5. This results in:

Further, the maximum value judgment is performed on the index value set to obtain the step of frame synchronization position, including:

Get the metric function value in the index value collection;

The index value corresponding to the largest metric function value among the metric function values is selected as the frame synchronization position.

In the above implementation process, the index value corresponding to the largest metric function value in the metric function value is used as the frame synchronization position, which can reduce the error of the frame synchronization position, simplify the operation process, and save time.

Denote the index value k of the metric function D(k) when it is greater than the solid-state threshold δ and the dynamic threshold λ at the same time as _ki , and set the adjacent decision interval β, which is 256. When the difference between the adjacent index values _ki is not When it exceeds β, the adjacent index value _ki is defined as a new set G, which is defined as [ _ki ,ki ₊₁ ,.....,ki _+m ], and the set G must meet the conditions:

k _{i +m} -ki <=β

k _i+m+1 -k _i >β;

Compare the D(k) value corresponding to the index value in the set G, the index corresponding to the maximum value in the set [D(k _i ), D(k _i+1 ),...., D(k _i+m )] The value is the frame synchronization position, recorded as:

k _s ∈max([D(k _i ),D(k _i+1 ),....,D(k _i+m )])| _k

The embodiment of the present application uses a double-threshold threshold judgment method to realize frame synchronization by performing threshold judgment on the metric function, wherein the function of the fixed threshold threshold is that when the calculation result of the metric function is smaller than the fixed threshold threshold, the index value corresponding to the metric function is not used as The value of the synchronization judgment index and the fixed threshold are obtained through simulation under the condition that the signal-to-noise ratio is above -5dB and the packet error rate is below 1%. The dynamic threshold is obtained by multiplying the average value of the first 18 samples, the current sample and the last 19 samples of the metric function by the weight coefficient, and then the dynamic threshold is used to judge the metric function that is greater than the fixed threshold again. , and finally, the adjacent metric function values greater than the fixed threshold and the dynamic threshold are compared using the adjacent judgment method, and the index value corresponding to the maximum value of this function value is the frame synchronization position. The embodiment of the present application reduces the high false alarm probability caused by the fixed threshold threshold value alone judgment, reduces the influence of noise on the frame synchronization performance, improves the synchronization index correct rate, and at the same time, the adjacent judgment method can effectively reduce the multipath channel's impact on the synchronization performance. influences. The method of the invention can realize frame synchronization above -5dB, and the packet error rate is below 1%, the operation complexity is not high, and the hardware implementation is easy.

Embodiment 2

In order to implement the method corresponding to the above-mentioned first embodiment to achieve corresponding functions and technical effects, a frame timing synchronization device for wireless communication is provided below. As shown in FIG. 2 , the device includes:

Obtaining module 1, used to obtain the local frame synchronization header sequence; also used to obtain air interface data;

Sliding-window cross-correlation module 2, for performing sliding-window cross-correlation processing according to the local frame synchronization header sequence and air interface data to obtain a metric function;

Judgment module 3, for performing threshold threshold judgment on the metric function to obtain an index value set;

The selection module 4 is used for performing maximum judgment on the index value set to obtain the frame synchronization position.

In the above implementation process, the frame synchronization position is obtained by performing sliding-window cross-correlation processing on the local frame synchronization header sequence and the air interface data, and then performing a threshold threshold judgment on the metric function, which improves the frame synchronization performance and makes the obtained frame synchronization position More accurate and simplified calculation process.

Further, the acquisition module 1 is also used for:

Get the first length sequence;

Perform a zero-padding operation on the first length sequence to obtain a second length sequence;

Inverse discrete Fourier transform is performed on the second length sequence to obtain the local frame synchronization header sequence.

Further, the decision module 3 is also used for:

Perform a fixed threshold threshold decision on the metric function to obtain the metric function after the fixed threshold threshold decision;

Perform dynamic threshold threshold judgment on the metric function, and obtain the metric function after the dynamic threshold threshold judgment;

The index value set is obtained according to the metric function after the fixed threshold threshold value judgment and the metric function after the dynamic threshold threshold value judgment.

Further, the decision module 3 is also used for:

Get a fixed threshold threshold;

According to the fixed threshold threshold, the metric function is judged by the fixed threshold threshold, and the metric function after the fixed threshold threshold judgment is obtained.

Further, the decision module 3 is also used for:

Get the dynamic threshold threshold;

According to the dynamic threshold threshold value, the metric function is judged by the dynamic threshold threshold value, and the metric function after the dynamic threshold threshold value judgment is obtained.

Further, the selection module 4 is also used for:

Get the metric function value in the index value collection;

The index value corresponding to the largest metric function value among the metric function values is selected as the frame synchronization position.

Further, the decision module 3 is also used to perform sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data by the following formula to obtain a metric function:

Among them, D(k) is the metric function, R(k) is the result of the sliding window cross-correlation operation, P ₁ is the power sum of the local frame synchronization header sequence, P ₂ (k) is the power sum of the air interface data, x(n) is the local frame synchronization header sequence, r(n) is the air interface data, N is the window length, i is the sample sequence number corresponding to the window length, and k is the starting point position of the window corresponding to each sliding window.

Further, the decision module 3 is also used to obtain the dynamic threshold threshold through the following formula:

)。Among them, λ(k) is the dynamic threshold threshold, μ is the dynamic threshold coefficient, i is the sample number corresponding to the window length, k is the starting point position of the window corresponding to each sliding window, M is the accumulated length of the metric function, D( k) is the metric function (k is assigned as

).

The above-mentioned frame timing synchronization apparatus for wireless communication can implement the method of the above-mentioned first embodiment. The options in the first embodiment above are also applicable to this embodiment, and are not described in detail here.

For the rest of the contents of the embodiments of the present application, reference may be made to the contents of the foregoing first embodiment, which will not be repeated in this embodiment.

Embodiment 3

An embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the frame timing synchronization method for wireless communication of the first embodiment.

Optionally, the above electronic device may be a server.

Referring to FIG. 3 , FIG. 3 is a schematic structural composition diagram of an electronic device provided by an embodiment of the present application. The electronic device may include a processor 31 , a communication interface 32 , a memory 33 and at least one communication bus 34 . Among them, the communication bus 34 is used to realize the direct connection and communication of these components. The communication interface 32 of the device in the embodiment of the present application is used for signaling or data communication with other node devices. The processor 31 may be an integrated circuit chip, which has signal processing capability.

The above-mentioned processor 31 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC) , off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor 31 may be any conventional processor or the like.

The memory 33 can be, but is not limited to, a random access memory (Random Access Memory, RAM), a read only memory (Read Only Memory, ROM), a programmable read only memory (Programmable Read-Only Memory, PROM), an erasable memory Read-only memory (Erasable Programmable Read-Only Memory, EPROM), Electrically Erasable Programmable Read-Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc. Computer-readable instructions are stored in the memory 33, and when the computer-readable instructions are executed by the processor 31, the device can perform various steps involved in the method embodiment of FIG. 1 above.

Optionally, the electronic device may further include a storage controller and an input and output unit. The elements of the memory 33 , the storage controller, the processor 31 , the peripheral interface, and the input-output unit are directly or indirectly electrically connected to each other, so as to realize data transmission or interaction. For example, these elements may be electrically connected to each other through one or more communication buses 34 . The processor 31 is used to execute executable modules stored in the memory 33, such as software function modules or computer programs included in the device.

The input and output unit is used to provide the user with creating a task and creating a start-up selectable period or preset execution time for the task to realize the interaction between the user and the server. The input and output unit may be, but not limited to, a mouse and a keyboard, and the like.

It can be understood that the structure shown in FIG. 3 is only for illustration, and the electronic device may further include more or less components than those shown in FIG. 3 , or have different configurations than those shown in FIG. 3 . Each component shown in FIG. 3 can be implemented in hardware, software, or a combination thereof.

In addition, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, implements the frame timing synchronization method for wireless communication according to the first embodiment.

Embodiments of the present application further provide a computer program product, which, when running on a computer, enables the computer to execute the method described in the method embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may also be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architectures, functions and possible implementations of apparatuses, methods and computer program products according to various embodiments of the present application. operate. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by dedicated hardware-based apparatus for performing the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.

In addition, each functional module in each embodiment of the present application may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution, and the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk and other mediums that can store program codes.

The above descriptions are merely examples of the present application, and are not intended to limit the protection scope of the present application. For those skilled in the art, various modifications and changes may be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application. It should be noted that like numerals and letters refer to like items in the following figures, so once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

It should be noted that, in this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

Claims (10)

1. A method of frame timing synchronization for wireless communications, the method comprising:

acquiring a local frame synchronization head sequence;

acquiring air interface data;

performing sliding window cross-correlation processing on the local frame synchronization head sequence and the air interface data to obtain a measurement function;

performing threshold judgment on the metric function to obtain an index value set;

and carrying out maximum value judgment on the index value set to obtain a frame synchronization position.

2. The method for frame timing synchronization of wireless communication according to claim 1, wherein the step of acquiring the local frame synchronization header sequence comprises:

acquiring a first length sequence;

zero padding operation is carried out on the first length sequence to obtain a second length sequence;

and performing inverse discrete Fourier transform on the second length sequence to obtain the local frame synchronization head sequence.

3. The method of claim 1, wherein the step of performing threshold decision on the metric function to obtain a set of index values comprises:

carrying out fixed threshold judgment on the metric function to obtain the metric function after the fixed threshold judgment;

performing dynamic threshold judgment on the metric function to obtain the metric function after the dynamic threshold judgment;

and obtaining the index value set according to the metric function after the fixed threshold value judgment and the metric function after the dynamic threshold value judgment.

4. The method of claim 3, wherein the step of performing a fixed threshold decision on the metric function to obtain the metric function after the fixed threshold decision comprises:

acquiring a fixed threshold value;

and carrying out fixed threshold judgment on the measurement function according to the fixed threshold, and obtaining the measurement function after the fixed threshold judgment.

5. The method of claim 3, wherein the step of performing a dynamic threshold decision on the metric function to obtain the metric function after the dynamic threshold decision comprises:

acquiring a dynamic threshold value;

and performing dynamic threshold value judgment on the metric function according to the dynamic threshold value to obtain the metric function after the dynamic threshold value judgment.

6. The method of claim 1, wherein the step of performing a maximum value decision on the index value set to obtain a frame synchronization position comprises:

obtaining a measurement function value in the index value set;

and selecting an index value corresponding to the maximum metric function value in the metric function values as the frame synchronization position.

7. The method of claim 1, wherein the metric function is obtained by performing a sliding window cross-correlation on the local frame synchronization header sequence and the null data according to the following formula:

wherein D (k) is the metric function, R (k) is the sliding window cross-correlation operation result, P ₁ Synchronizing the power sum of header sequences for said local frames, P ₂ (k) And for the power sum of the air interface data, x (N) is the local frame synchronization header sequence, r (N) is the air interface data, N is the window length, i is the sample sequence number corresponding to the window length, and k is the starting point position corresponding to the window during each sliding of the window.

8. The method of claim 5, wherein the dynamic threshold value is obtained by the following formula:

wherein λ (k) is the dynamic threshold, μ is the dynamic threshold coefficient, i is the sample number corresponding to the window length, k is the starting point position corresponding to the window during each sliding window, M is the accumulated length of the metric function, and D (k) is the metric function (k is assigned as

)。

9. An apparatus for frame timing synchronization for wireless communication, the apparatus comprising:

the acquisition module is used for acquiring a local frame synchronization header sequence; the data acquisition module is also used for acquiring air interface data;

a sliding window cross-correlation module, configured to perform sliding window cross-correlation processing according to the local frame synchronization header sequence and air interface data to obtain a metric function;

the decision module is used for carrying out threshold decision on the metric function to obtain an index value set;

and the selection module is used for carrying out maximum value judgment on the index value set to obtain a frame synchronization position.

10. An electronic device, comprising a memory for storing a computer program and a processor for executing the computer program to cause the electronic device to perform the frame timing synchronization method for wireless communication according to any one of claims 1 to 8.

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