CN115840197B - Vehicle-mounted radar MIMO array phase drying phase error correction method and device - Google Patents
Vehicle-mounted radar MIMO array phase drying phase error correction method and device Download PDFInfo
- Publication number
- CN115840197B CN115840197B CN202310161132.1A CN202310161132A CN115840197B CN 115840197 B CN115840197 B CN 115840197B CN 202310161132 A CN202310161132 A CN 202310161132A CN 115840197 B CN115840197 B CN 115840197B
- Authority
- CN
- China
- Prior art keywords
- phase error
- vehicle
- phase
- mounted radar
- virtual array
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000001035 drying Methods 0.000 title claims abstract description 21
- 238000012937 correction Methods 0.000 title claims abstract description 20
- 230000033001 locomotion Effects 0.000 claims abstract description 34
- 230000001427 coherent effect Effects 0.000 claims description 8
- 238000003491 array Methods 0.000 abstract description 3
- 238000004088 simulation Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 4
- 238000012360 testing method Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000002592 echocardiography Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a vehicle-mounted radar MIMO array phase drying phase error correction method and device. The method comprises the following steps: compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar; acquiring a virtual array element group with at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group; and compensating a second phase error in the motion of the target to be detected according to the two virtual array elements. According to the method, at least two virtual array elements are acquired through the partially overlapped MIMO arrays, the phase errors caused by the position difference of the array elements are eliminated by utilizing the overlapped array elements, the fuzzy number is solved by utilizing the channel data phase difference to obtain the phase errors caused by the movement of the target to be detected, and the phase errors are corrected.
Description
Technical Field
The invention relates to the technical field of radars, in particular to a vehicle-mounted radar MIMO array phase drying phase error correction method and device.
Background
Time division MIMO is effective with only one transmit antenna at a time and is most widely used due to its simpler transmission mode compared to other modes. Time division MIMO radar uses echoes of pulse signals transmitted at different times as raw data for angle estimation when performing coherent processing and imaging. But transmit antennas operating at different times introduce phase errors due to the target speed.
The conventional solution is to first obtain the target speed by a two-dimensional Fast Fourier Transform (FFT) and then compensate for the phase error caused by the target speed. However, in high resolution radars, a large number of transmit antennas are often required. In TDMA transmission mode, the Pulse Repetition Interval (PRI) corresponding to MIMO is relatively large, which greatly reduces and limits the maximum ambiguity-free speed achievable by MIMO radar. Therefore, the phase error cannot be correctly compensated by merely actually obtaining the velocity blur component of the target.
Disclosure of Invention
The invention provides a vehicle-mounted radar MIMO array phase drying phase error correction method and device, which can effectively solve the problem that the phase difference still exists inaccurately through speed fuzzy compensation in the existing high-resolution radar.
According to one aspect of the invention, a coherent phase error correction method for a vehicle-mounted radar MIMO array is provided, and the coherent phase error correction method for the vehicle-mounted radar MIMO array comprises the following steps: compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar; acquiring a virtual array element group with at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group; and compensating a second phase error in the motion of the target to be detected according to the two virtual array elements.
Further, before the compensating the first phase error in the motion of the object to be measured according to the fuzzy speed of the MIMO array, the method further includes: a channel data is constructed.
Further, the MIMO array consisting of M transmitting antennas and N receiving antennas, the constructing the channel data of the vehicle-mounted radar includes: acquiring baseband parameters of the vehicle-mounted radar; and determining a first signal transmitted by an ith transmitting antenna and received by a jth receiving antenna based on the baseband parameters, wherein M, N, j and i are natural numbers greater than zero, i is less than or equal to M, and j is less than or equal to N.
Further, the constructing the channel data of the vehicle-mounted radar further includes: and carrying out Fourier transform on the first signal to determine the distance and the speed of the target to be detected.
Further, the compensating the first phase error in the movement of the target to be detected according to the fuzzy speed of the vehicle-mounted radar comprises; and determining a second signal transmitted by the mth transmitting antenna and received by the nth receiving antenna based on the baseband parameters, wherein M and N are natural numbers greater than zero, and M and N are respectively smaller than or equal to M and N.
Further, calculating a signal phase difference of the first signal and the second signal; the signal phase difference is compensated according to the blur speed to generate the first phase error.
Further, the obtaining a virtual array element group having at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group further includes: and calculating the speed fuzzy number of the two virtual array elements.
Further, the compensating the second phase error in the movement of the target to be measured according to the two virtual array elements includes: and compensating a second phase error in the motion of the object to be detected according to the speed fuzzy number.
Further, the vehicle-mounted radar baseband parameters are as follows:
According to another aspect of the invention, there is provided a vehicle-mounted radar MIMO array coherent phase error correction method apparatus, including: the first compensation unit is used for compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar; and the virtual array element determining unit is used for acquiring at least two virtual array elements at the same position based on the MIMO array and selecting two virtual array elements in the at least two virtual array elements. And the second compensation unit is used for compensating a second phase error in the motion of the target to be detected according to the two virtual array elements.
The method has the advantages that at least two virtual array elements are acquired at the same position through the partially overlapped MIMO arrays, phase errors caused by the position difference of the array elements are eliminated through the overlapped array elements, the fuzzy number is solved through the channel data phase difference, the phase errors caused by the movement of the object to be detected are obtained, and the phase errors are corrected.
Drawings
The technical solution and other advantageous effects of the present invention will be made apparent by the following detailed description of the specific embodiments of the present invention with reference to the accompanying drawings.
Fig. 1 is a flowchart of steps of a vehicle-mounted radar MIMO array phase drying phase error correction method according to an embodiment of the present invention.
FIG. 2a is a simulation result of a single target to be tested according to an embodiment of the present invention.
FIG. 2b is a simulation result of a dual-test object provided by an embodiment of the present invention.
Fig. 3 is a graph showing the difference between the phase error and the true phase error obtained by the method according to the embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a coherent phase error correction device of a vehicle-mounted radar MIMO array according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of a vehicle-mounted radar MIMO array phase drying phase error correction method according to an embodiment of the present invention, where an execution body of the vehicle-mounted radar MIMO array phase drying phase error correction method may be a vehicle-mounted radar MIMO array phase drying phase error correction method apparatus, or different types of devices such as an electronic device, a server device, a physical host, or a User Equipment (UE) that identify the vehicle-mounted radar MIMO array phase drying phase error correction method apparatus are integrated, where the vehicle-mounted radar MIMO array phase drying phase error correction method apparatus may be implemented in a hardware or software manner, and the UE may be specifically a terminal device such as a smart phone, a tablet computer, a notebook computer, a palm computer, or a desktop computer. The vehicle-mounted radar MIMO array phase drying phase error correction method comprises the following steps:
step S110: and compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar.
The object is, for example, to determine a part of the known phase error using the known fuzzy speed component and to compensate, i.e. to compensate, the first phase error.
Illustratively, the compensating for the first phase error in the movement of the object to be measured according to the blurring speed of the vehicle-mounted radar includes: determining a second signal transmitted by an mth transmitting antenna and received by an nth receiving antenna based on the baseband parameter, wherein M and N are natural numbers greater than zero, and M and N are respectively less than or equal to M and N; calculating a signal phase difference of the first signal and the second signal; the signal phase difference is compensated according to the blur speed to generate the first phase error.
Specifically, the first
The (th) of the transmission of the transmitting antenna>
Second signal received by the receiving antenna and +.>
The (th) of the transmission of the transmitting antenna>
The phase difference between the first signals received by the respective receiving antennas can be expressed as:
illustratively, before the compensating the first phase error in the movement of the target to be measured according to the fuzzy speed of the vehicle radar, the method further comprises: and constructing channel data of the vehicle-mounted radar.
Illustratively, the constructing the channel data of the vehicle-mounted radar includes: acquiring baseband parameters of the vehicle-mounted radar; determining a first signal transmitted by an ith transmitting antenna and received by a jth receiving antenna based on the baseband parameters; and carrying out Fourier transform on the first signal to determine the distance and the speed of the target to be detected, wherein M, N, j and i are natural numbers larger than zero, and i and j are respectively smaller than or equal to M and N.
Specifically, the vehicle-mounted radar baseband parameters are as follows:
Based on the TDMA-MIMO system, for the group consisting of
Transmitting antennas and->
MIMO radar array of receiving antennas, no->
The receiving antennas are oriented from>
Received->
The signals transmitted by the transmit antennas may be expressed as (i.e., a first signal):
wherein A is a complex number determined by factors such as reflection coefficient and signal path loss of the object to be measured. First, the
The signal transmitted by the transmitting antenna is represented by +.>
The signals received by the receiving antennas can be identical to the signals transmitted from the origin of coordinates and are transmitted by the receiving antennas
Wherein +.>
Represents the i-th transmitting antenna azimuth position, < >>
Representing the jth receive antenna azimuth position.
First, the
The transmitting antennas transmit and are surrounded by->
The signal received by the receiving antenna is +.>
. Then, the +.>
Conversion to->
. In a range-Doppler cell on a two-dimensional plane>
Corresponds to the object to be measured. The distance and speed of the object to be measured can be determined by +.>
and
Obtained from the corresponding values of (a).
Step S120: and acquiring a virtual array element group with at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group.
The phase error equation compensated by step S110 is as follows:
wherein ,
representing the difference of the positions of two virtual array elements, when the two selected virtual array elements are overlapped, namely the same position is achieved, namely:
。
The corresponding portion will be equal to 0 and the corresponding phase error portion will be
The phase error after the re-writing is as follows:
the method for obtaining a virtual array element group with at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group further includes: and calculating the speed fuzzy number of the two virtual array elements.
The process of solving the velocity ambiguity is as follows: order the
，
The phase error equation is as follows:
order the
The phase error equation is as follows:
。
The blur number is calculated as follows:
。
step S130: and compensating a second phase error in the motion of the target to be detected according to the two virtual array elements.
Specifically, the remaining compensation phase, i.e., the compensation second phase error, is as follows:
and even if the actual speed ambiguity exceeds a, the phase compensation is still correct and does not affect the subsequent angle domain estimation result.
To illustrate the beneficial effects of the invention, further demonstration is performed by simulation experiments:
the experimental setting is that simulation echo data are generated based on an MATLAB software platform and are subjected to signal processing, and the method is used for respectively obtaining an angle spectrum by digital beam forming without phase compensation and only compensating a speed fuzzy component. The specific simulation parameter settings are shown in table 1 below:
TABLE 1 System parameters for MIMO simulation
| Variable(s) | Parameters (parameters) |
| Carrier frequency | 77GHz |
| Bandwidth of a communication device | 600MHz |
| Pulse repetition frequency | 6.6KHz |
| Sampling points | 1024 |
| Pulse count | 128 |
| Non-fuzzy speed range | [-6.43 6.43] m/s |
And respectively setting two conditions of a single target to be tested and a double target to be tested by simulation. For the single target case to be measured, the target distance is set to 70.7 m, the radial velocity is set to 10.6m/s, and the azimuth angle is set to 45 °. Under the condition of double targets to be measured, the two targets to be measured are at the same distance and the same speed, and only the second target to be measured is different in angle and is minus 30 degrees.
The experimental result analysis, as shown in fig. 2a and fig. 2b, is a simulation experimental result diagram of the present invention, in which fig. 2a is a single-test-target simulation result, and fig. 2b is a double-test-target simulation result, in which no compensation and only compensation speed residual components are compensation modes using the prior art, and the solid line represents the compensation mode provided for the present invention based on the solution of the partially overlapped virtual array.
According to the parameters in table 1, the target speed to be measured exceeds the range of no-blurring speed, and only the blurring component of the speed is compensated, so that the phase error cannot be corrected correctly.
By applying uncompensated, only the velocity blur component and the angle domain data corrected by the method of the invention are compensated, the result of the digital beam forming is shown in fig. 2 a. The vertical line in the figure is the actual angle of the object to be measured. From the results it can be seen that no phase compensation or only compensating for the velocity blur component introduces significant phase errors in the angle domain and that no correct angle measurement can be obtained. After the method is adopted, the phase error can be correctly compensated, and correct angle domain data can be obtained.
The solution is also applicable to the case of multiple objects to be measured with different angles but the same distance and speed. The estimation result of the angle domain is shown in fig. 2 b. From the results, it can be seen that the results are the same for the dual test targets as for the single test target. No phase compensation or only a compensation of the velocity blur component may introduce significant phase errors in the angle domain and no correct angle measurement can be obtained. After the method is adopted, the phase error can be correctly compensated, and correct angle domain data can be obtained.
For different signal-to-noise ratios, the difference between the phase error obtained by the method of the present invention and the true phase error varies with the signal-to-noise ratio, as shown in fig. 3. It can be seen from the figure that the estimation error remains at a rather low level even in the case of very low signal-to-noise ratios, indicating the stability of the solution of the invention.
The method has the advantages that based on the partially overlapped MIMO array, at least two virtual array elements are acquired at the same position through the overlapped MIMO array, phase errors caused by the position difference of the array elements are eliminated by utilizing the overlapped array elements, the fuzzy number is solved by utilizing the channel data phase difference, the phase errors caused by the movement of the object to be detected are obtained, and the phase errors are corrected.
As shown in fig. 4, a schematic structural diagram of a coherent phase error correction device for a vehicle-mounted radar MIMO array according to an embodiment of the present invention is provided, where the device includes a first compensation unit 10, a virtual array element determining unit 20, and a second compensation unit 30.
The first compensation unit 10 is configured to compensate a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle radar. The virtual array element determining unit 20 is configured to obtain at least two virtual array elements at the same position based on the MIMO array, and select two virtual array elements from the at least two virtual array elements. The second compensation unit 30 is configured to compensate a second phase error in the motion of the target to be detected according to the two virtual array elements.
As shown in fig. 5, a schematic structural diagram of the electronic device according to the present application is shown, specifically:
the electronic device may include one or more processing cores 'processors 401, one or more computer-readable storage media's memory 402, power supply 403, and input unit 404, among other components. It will be appreciated by those skilled in the art that the device structure shown in fig. 5 does not constitute a limitation of the device, and that the electronic device may also include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components. Wherein:
the processor 401 is a control center of the device, connects various parts of the entire device using various interfaces and lines, and performs various functions of the device and processes data by running or executing software programs and/or unit modules stored in the memory 402, and calling data stored in the memory 402, thereby performing overall monitoring of the electronic device. Optionally, processor 401 may include one or more processing cores; the processor 401 may be a central processing unit (CentralProcessing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammableGate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and preferably, the processor 401 may integrate an application processor, which primarily handles operating systems, user interfaces, application programs, and the like, with a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by executing the software programs and modules stored in the memory 402. The memory 402 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device, etc. In addition, memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.
The electronic device may further comprise a power supply 403 for supplying power to the respective components, and preferably the power supply 403 may be logically connected to the processor 401 by a power management system, so that functions of charge, discharge, power consumption management and the like are managed by the power management system. The power supply 403 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The electronic device may further comprise an input unit 404 and an output unit 405, the input unit 404 being operable to receive input digital or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs in connection with user settings and function control.
Although not shown, the electronic device may further include a display unit or the like, which is not described herein. In this application, the processor 401 in the electronic device loads executable files corresponding to the processes of one or more application programs into the memory 402 according to the following instructions, and the processor 401 executes the application programs stored in the memory 402, so as to implement various functions, as follows:
compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar;
acquiring a virtual array element group with at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group;
and compensating a second phase error in the motion of the target to be detected according to the two virtual array elements.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods described above may be performed by instructions, or by controlling associated hardware, which may be stored on a computer readable storage medium and loaded and executed by the processor 401.
To this end, the present application provides a computer-readable storage medium, which may include: read Only Memory (ROM), random access Memory (RandomAccess Memory, RAM), magnetic or optical disk, and the like. On which computer instructions are stored that are loaded by the processor 401 to perform the steps in any of the vehicle-mounted radar MIMO array phase-drying phase error correction methods provided herein. For example, the computer instructions, when executed by the processor 401, perform the following functions:
compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar;
acquiring a virtual array element group with at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group;
and compensating a second phase error in the motion of the target to be detected according to the two virtual array elements.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of one embodiment that are not described in detail in the foregoing embodiments may be referred to in the foregoing detailed description of other embodiments, which are not described herein again.
In the implementation, each unit or structure may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit or structure may be referred to the foregoing embodiments and will not be repeated herein.
In summary, although the present invention has been described in terms of the preferred embodiments, the preferred embodiments are not limited to the above embodiments, and various modifications and changes can be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention is defined by the appended claims.
Claims (10)
1. A method for coherent phase error correction of a vehicle-mounted radar MIMO array, the vehicle-mounted radar comprising a MIMO array, the method comprising:
compensating a first phase error in the motion of a target to be detected according to the fuzzy speed of the vehicle-mounted radar;
based on the MIMO array, obtaining a virtual array element group with at least two virtual array elements at the same position, selecting two virtual array elements in the virtual array element group, and compensating the first phase error to obtain the phase error formula as follows:
compensating a second phase error in the motion of the target to be detected according to the two virtual array elements;
the compensating the second phase error in the movement of the target to be measured according to the two virtual array elements comprises:
calculating the fuzzy speed number, wherein the speed fuzzy number calculating process is as follows: order the
，
The phase error equation is as follows:
calculating a second phase compensation error, the compensated second phase error being as follows:
2. the method for correcting phase-drying phase errors of a MIMO array of a vehicle-mounted radar according to claim 1, further comprising, before the compensating for the first phase error in the motion of the target to be measured according to the fuzzy speed of the vehicle-mounted radar:
and constructing channel data of the vehicle-mounted radar.
3. The method for correcting phase-drying phase error of a MIMO array of vehicle-mounted radar according to claim 2, wherein the constructing channel data of the vehicle-mounted radar comprises:
acquiring baseband parameters of the vehicle-mounted radar;
and determining a first signal transmitted by an ith transmitting antenna and received by a jth receiving antenna based on the baseband parameters, wherein M, N, j and i are natural numbers greater than zero, i is less than or equal to M, and j is less than or equal to N.
4. The method for correcting phase-drying phase error of a MIMO array of a vehicle-mounted radar according to claim 3, wherein said constructing channel data of the vehicle-mounted radar further comprises:
and carrying out Fourier transform on the first signal to determine the distance and the speed of the target to be detected.
5. The method for correcting phase-drying phase errors of a vehicle-mounted radar MIMO array according to claim 4, wherein said compensating for the first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar comprises:
and determining a second signal transmitted by the mth transmitting antenna and received by the nth receiving antenna based on the baseband parameters, wherein M and N are natural numbers greater than zero, and M and N are respectively smaller than or equal to M and N.
6. The method for correcting phase-drying phase errors of a vehicle-mounted radar MIMO array according to claim 5, wherein said compensating for the first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar further comprises:
calculating a signal phase difference of the first signal and the second signal;
the signal phase difference is compensated according to the blur speed to generate the first phase error.
7. The method for correcting phase-drying phase error of a vehicle-mounted radar MIMO array according to claim 1, wherein the obtaining a virtual array element group having at least two virtual array elements at the same position based on the MIMO array, and selecting two virtual array elements in the virtual array element group further comprises:
and calculating the speed fuzzy number of the two virtual array elements.
8. The method for correcting phase-drying phase errors of a vehicle-mounted radar MIMO array according to claim 7, wherein the compensating for the second phase error in the motion of the target to be detected according to the two virtual array elements comprises:
and compensating a second phase error in the motion of the object to be detected according to the speed fuzzy number.
9. The method for correcting phase-drying phase errors of a vehicle-mounted radar MIMO array according to any one of claims 3 to 6, wherein the vehicle-mounted radar baseband parameters are as follows:
wherein ,
for transmitting signal carrier frequency>
To tune the frequency, the total time t is divided into fast +.>
And slow time->
V is the true speed of the object to be measured, +.>
Is at->
Distance between target to be measured and radar, +.>
For the initial distance between the target and the radar, c is the speed of light in vacuum.
10. A vehicle-mounted radar MIMO array coherent phase error correction apparatus, the vehicle-mounted radar comprising the MIMO array, the apparatus comprising:
the first compensation unit is used for compensating a first phase error in the motion of the target to be detected according to the fuzzy speed of the vehicle-mounted radar;
the virtual array element determining unit is configured to obtain a virtual array element group having at least two virtual array elements at the same position based on the MIMO array, and select two virtual array elements in the virtual array element group, where the phase error formula after the first phase error compensation is as follows:
the second compensation unit is configured to compensate a second phase error in the motion of the target to be detected according to the two virtual array elements, where the compensating the second phase error in the motion of the target to be detected according to the two virtual array elements includes:
calculating the fuzzy speed number, wherein the speed fuzzy number calculating process is as follows: order the
，
The phase error equation is as follows:
calculating a second phase compensation error, the second phase error being as follows:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310161132.1A CN115840197B (en) | 2023-02-24 | 2023-02-24 | Vehicle-mounted radar MIMO array phase drying phase error correction method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310161132.1A CN115840197B (en) | 2023-02-24 | 2023-02-24 | Vehicle-mounted radar MIMO array phase drying phase error correction method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115840197A CN115840197A (en) | 2023-03-24 |
| CN115840197B true CN115840197B (en) | 2023-05-09 |
Family
ID=85580163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310161132.1A Active CN115840197B (en) | 2023-02-24 | 2023-02-24 | Vehicle-mounted radar MIMO array phase drying phase error correction method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115840197B (en) |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103383450B (en) * | 2013-06-25 | 2015-05-27 | 西安电子科技大学 | Conformal array radar amplitude-phase error correction fast achieving method |
| CN103823217B (en) * | 2014-02-26 | 2016-05-04 | 南京信息工程大学 | Based on the bistatic MIMO radar high-speed moving object method for parameter estimation of double frequency transmitting |
| US9664775B2 (en) * | 2014-09-29 | 2017-05-30 | Delphi Technologies, Inc. | Radar system and method for virtual antenna signals |
| US10627483B2 (en) * | 2016-07-09 | 2020-04-21 | Texas Instruments Incorporated | Methods and apparatus for velocity detection in MIMO radar including velocity ambiguity resolution |
| JP7236268B2 (en) * | 2018-01-15 | 2023-03-09 | キヤノン株式会社 | Image blur correction device, interchangeable lens, camera body, image blur correction method, and program |
| CN110488270B (en) * | 2019-07-31 | 2022-10-14 | 电子科技大学 | Speed-resolving fuzzy angle measurement method for vehicle-mounted LFMCW radar |
| US11982732B2 (en) * | 2020-06-09 | 2024-05-14 | Samsung Electronics Co., Ltd. | Method and apparatus for processing radar signal by correcting phase distortion |
| CN112051560B (en) * | 2020-08-07 | 2022-11-22 | 深圳市速腾聚创科技有限公司 | Phased array phase error calibration method and device, storage medium and laser radar |
| CN112946615B (en) * | 2021-01-29 | 2023-07-21 | 浙江大学 | Phased array system amplitude and phase error correction method |
| CN113325382B (en) * | 2021-05-26 | 2024-04-16 | 北京理工大学重庆创新中心 | DDMA MIMO radar speed disambiguation method based on global optimization phase modulation |
| CN115524680A (en) * | 2021-10-27 | 2022-12-27 | 纵目科技（上海）股份有限公司 | Method, system, device and medium for estimating acquisition/angle of prospective MIMO radar system |
-
2023
- 2023-02-24 CN CN202310161132.1A patent/CN115840197B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN115840197A (en) | 2023-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110869794B (en) | Leakage signal cancellation | |
| US20210364622A1 (en) | Processing radar signals | |
| CN111126318A (en) | Parameter-adjustable double-subspace signal detection method under signal mismatch | |
| CN110865364A (en) | Target resolving method of radar and terminal equipment | |
| CN103364769A (en) | Adaptive estimation method for spatially non-uniform sea clutter covariance matrix | |
| CN108020834B (en) | Improved EDPCA (enhanced data analysis component analysis) -based moving target detection method and device and electronic equipment | |
| CN112505644A (en) | Sensor measurement correction method and device, terminal equipment and storage medium | |
| CN113917423B (en) | Doppler ambiguity calculation method, target speed measurement method and device | |
| CN115840197B (en) | Vehicle-mounted radar MIMO array phase drying phase error correction method and device | |
| CN113534077B (en) | Radar radiation source power inversion method and device and electronic equipment | |
| CN114114197A (en) | Doppler ambiguity calculation method, Doppler velocity calculation method and device | |
| CN112698319A (en) | Experimental method for measuring target angle by radar | |
| CN112799046A (en) | Phase peak value-based speed determination method and device, radar and storage medium | |
| CN108896967B (en) | Method and device for detecting distance extended target based on clutter covariance matrix estimation | |
| CN114839588B (en) | FMCW millimeter wave radar receiving antenna array error compensation method, system and device | |
| CN113419240A (en) | Moving target detection method based on dual-channel SAR, dual-channel SAR and storage medium | |
| CN113466859A (en) | Spin space debris target ISAR two-dimensional imaging method based on rapid phase interpolation | |
| KR102391935B1 (en) | Apparatus and method for estimating angle of the low velocity target in the radar | |
| Feng et al. | Constained adaptive monopulse algorithm based on sub-array | |
| Kim et al. | Fine Doppler frequency estimation of windowed complex sinusoidal signals for radar systems | |
| JP2005083870A (en) | System for processing radar signal | |
| US12099110B2 (en) | Radar system and method for performing direction of arrival estimation | |
| KR20150055279A (en) | Vehicle radar using azimuth high resolution processing algorithm and operating method thereof | |
| CN112731318B (en) | Single/double station dynamic complex target echo simulation method and implementation | |
| CN116224244A (en) | Generation method of Rang-Doppler graph and related device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |