Polarization cancellation anti-interference method and system based on radar signal

Abstract

The invention provides a polarization cancellation anti-interference method and system based on radar signals, and relates to the technical field of radar signal processing. The method comprises the following steps: determining a main polarization channel and an auxiliary channel of a sub-array antenna, wherein the main polarization channel and the auxiliary channel are mutually orthogonal; obtaining an input signal of the main polarization channel and an input signal of the auxiliary channel; determining an interference signal weight coefficient of the auxiliary channel by calculating a noise variance of the first matrix; and performing polarization cancellation on the interference signal of the second matrix according to the first matrix by using the interference signal weight coefficient of the auxiliary channel. According to the invention, interference signals in a main polarization channel can be cancelled to obtain low-interference or non-interference output signals, so that the signal-to-noise ratio of a radar system can be improved, and detection of subsequent radar signal processing is facilitated. Moreover, the polarization cancellation interference method is suitable for a radar system under a dual-polarization array antenna, and has the advantage of high applicability.

Description

Technical Field

[0001] The present invention relates to the field of radar signal processing technology, and more specifically, to a method and system for anti-interference based on polarization cancellation of radar signals. Background Art

[0002] With the continuous development of radar technology, the interference environment faced by radar is becoming increasingly complex. Traditional anti-interference methods, such as time domain and frequency domain anti-interference methods, can no longer meet the needs of radar systems. In particular, in some cases, traditional time domain and frequency domain anti-interference methods cannot meet the needs of radar systems. For example, when the main lobe interference is much stronger than the target echo and the auxiliary antenna is in an orthogonal state with the main antenna, the traditional time domain and frequency domain anti-interference methods cannot be applied to the application scenario of dual-polarization radar array antennas. Summary of the invention

[0003] The purpose of this specification is to provide an anti-interference method based on polarization cancellation of radar signals, which can solve the problem of poor anti-interference performance of traditional methods under dual-polarization radar array antennas.

[0004] The embodiments of this specification are implemented as follows:

[0005] On the one hand, this specification provides a polarization cancellation anti-interference method based on radar signals, which mainly includes:

[0006] Determine a main polarization channel and an auxiliary channel of the subarray antenna, wherein the main polarization channel and the auxiliary channel are orthogonal to each other;

[0007] Determine a first matrix and a second matrix according to the acquired input signal of the main polarized channel and the input signal of the auxiliary channel, wherein the first matrix can characterize the autocorrelation of the input signal of the auxiliary channel, and the second matrix can characterize the cross-correlation of the input signal of the auxiliary channel and the input signal of the main polarized channel;

[0008] Determining the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix;

[0009] Polarization cancels interference signals of the second matrix according to the first matrix using the interference signal weight coefficients of the auxiliary channels.

[0010] On the other hand, this specification provides a polarization cancellation anti-interference system based on radar signals, which mainly includes:

[0011] A channel determination module, used to determine a main polarization channel and an auxiliary channel of a subarray antenna, wherein the main polarization channel and the auxiliary channel are orthogonal to each other;

[0012] a calculation module, configured to determine a first matrix and a second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel, wherein the first matrix can characterize the autocorrelation of the input signal of the auxiliary channel, and the second matrix can characterize the cross-correlation of the input signal of the auxiliary channel and the input signal of the main polarization channel;

[0013] A weight coefficient determination module, used to determine the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix;

[0014] The cancellation module is used to polarization cancel the interference signal of the second matrix according to the first matrix by using the interference signal weight coefficient of the auxiliary channel.

[0015] The embodiments of this specification have at least the following advantages or beneficial effects:

[0016] The polarization cancellation anti-interference method calculates the weight coefficient corresponding to the auxiliary channel according to the input signal of the main polarization channel and the input signal of the auxiliary channel, and can cancel the interference signal in the main polarization channel to obtain a low-interference or non-interference output signal, thereby improving the signal-to-noise ratio of the radar system, facilitating the detection of subsequent radar signal processing, and thus achieving the effect of accurately tracking and identifying the real target signal. Moreover, the above-mentioned polarization cancellation interference method is applicable to radar systems under dual-polarization array antennas, and has the advantage of strong applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present specification and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A flowchart of the polarization cancellation anti-interference method based on radar signals provided in this specification;

[0019] Figure 2 A schematic diagram of the process of polarization cancellation of the kth main polarization channel provided in this specification;

[0020] Figure 3 A schematic diagram of the pulse compression process of the polarized radar signal provided in this specification;

[0021] Figure 4 Schematic diagram of the polarization cancellation anti-interference system based on radar signals provided in this manual. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of this specification more clear, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are part of the embodiments of this specification, not all of the embodiments. Generally, the components of the embodiments of this specification described and shown in the drawings here can be arranged and designed in various different configurations.

[0023] Please refer to Figures 1 to 3 An embodiment of the present specification provides a polarization cancellation anti-interference method based on radar signals, which mainly includes:

[0024] Step 102: determining a main polarization channel and an auxiliary channel of the subarray antenna, wherein the main polarization channel and the auxiliary channel are orthogonal to each other;

[0025] Step 104: Determine a first matrix and a second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel, wherein the first matrix can characterize the autocorrelation of the input signal of the auxiliary channel, and the second matrix can characterize the cross-correlation of the input signal of the auxiliary channel and the input signal of the main polarization channel;

[0026] Step 106: Determine the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix;

[0027] Step 108: Polarization cancel the interference signal of the second matrix according to the first matrix using the interference signal weight coefficient of the auxiliary channel.

[0028] In this embodiment, the above method is specifically applied to the condition that the main lobe interference is much stronger than the target echo and the main antenna and the auxiliary antenna are in an orthogonal state. Under the condition that the main lobe interference is much stronger than the target echo, the energy received by the auxiliary antenna is mainly interference energy. At this time, from the polarization perspective, the antenna structure and the sidelobe cancellation structure are consistent.

[0029] In this embodiment, the main polarization channel is a receiving channel of a main antenna, the auxiliary channel is a receiving channel of an auxiliary antenna, and the signal received by the receiving channel is an input signal.

[0030] Specifically, the polarization interference cancellation method calculates the weight coefficient corresponding to the auxiliary channel according to the input signal of the main polarization channel and the input signal of the auxiliary channel, and can cancel the interference signal in the main polarization channel to obtain a low-interference or interference-free output signal, thereby improving the signal-to-noise ratio of the radar system, facilitating the detection of subsequent radar signal processing, and thus achieving the effect of accurately tracking and identifying the real target signal. Moreover, the polarization interference cancellation method is applicable to radar systems under dual-polarization array antennas, and has the advantage of strong applicability.

[0031] In this embodiment, one implementation of step 102 is as follows:

[0032] Step 112: When it is determined that the main polarization channel is horizontally polarized, the auxiliary channel is vertically polarized;

[0033] Step 114: When it is determined that the main polarization channel is vertically polarized, the auxiliary channel is horizontally polarized.

[0034] In this embodiment, under the condition that the main lobe interference is much stronger than the target echo, if the main polarization channel is horizontally polarized, the vertically polarized subarray is selected as the auxiliary subarray, that is, the auxiliary channel is vertically polarized. If the main polarization channel is vertically polarized, the horizontally polarized auxiliary channel is selected.

[0035] In this embodiment, through the above-mentioned setting method, the space spanned by the echo signal vectors in the auxiliary subarray is the interference space, and each main polarization channel is projected onto the interference space. The interference of the main polarization channel is canceled by removing the above-mentioned projection from each of the above-mentioned main polarization channels, thereby achieving the effect of suppressing the interference signal.

[0036] In this embodiment, one implementation of step 104 is as follows:

[0037] According to the input signal of the auxiliary channel, the first matrix RxX is determined, that is:

[0038] R XX =A T A

[0039] Among them, A is the matrix composed of each auxiliary channel, that is, {A1, A2, ···, A i}, A i is the input signal of the auxiliary channel of the i-th channel, A T is the conjugate transposed matrix of A.

[0040] In detail, the number of sampling points of the input signal of the above-mentioned auxiliary channel of the i-th channel is 1440, that is, the above-mentioned A i is a 1440×1 matrix, the above {A1, A2, ···, A i} The matrix is ​​a 1440×i matrix, that is, the matrix A composed of the auxiliary channels is a 1440×i matrix. The above A T It is an i×1440 matrix.

[0041] In this embodiment, the first matrix R XX It can characterize the autocorrelation characteristics of the input signal of the auxiliary channel. And the first matrix R XX is a positive semidefinite matrix.

[0042] In this embodiment, one implementation of step 104 is as follows:

[0043] Step 132: Determine a second matrix rxy according to the matrix composed of the auxiliary channels and the main polarized channels. k , that is:

[0044] RXY k =A T B k

[0045] Among them, B k is the input signal of the kth main polarization channel.

[0046] In this embodiment, the k-th main polarization channel input signal is a 1440×1 matrix, where 1440 is the number of sampling points of the main polarization channel.

[0047] In other embodiments, the number of signal sampling points of the main polarization channel and the auxiliary channel may be set to other values ​​according to actual applications, and the number of sampling points of the main polarization channel and the number of sampling points of the auxiliary channel should be consistent.

[0048] In this embodiment, the second matrix rxy k It is possible to characterize the cross-correlation between the input signal of the auxiliary channel and the input signal of the kth main polarization channel.

[0049] In this embodiment, before step 104, the following steps are also included:

[0050] Step 142: Acquire an original signal of the main polarization channel and an original signal of the auxiliary channel;

[0051] Step 144: acquiring signals of the original signal of the main polarization channel and the original signal of the auxiliary channel respectively according to a preset data acquisition rate;

[0052] Step 146: Down-convert the collected signals to obtain the input signal of the main polarization channel and the input signal of the auxiliary channel respectively.

[0053] In this embodiment, the down-converted signal of the original signal is used as the input signal of the main polarization channel and the input signal of the auxiliary channel.

[0054] In this embodiment, one implementation of step 106 is as follows:

[0055] Step 152: determining the noise variance of each auxiliary channel according to the average value of the input signal of each auxiliary channel and the number of signal sampling points of each auxiliary channel;

[0056] Step 154: determining the noise variance of the first matrix according to the noise variance of each auxiliary channel;

[0057] Step 156: Determine the interference signal weight coefficient of the auxiliary channel according to the noise variance of the first matrix, the first matrix and the second matrix.

[0058] In this embodiment, the noise variance has a significant impact on the interference signal weight coefficient of the auxiliary channel. The larger the noise variance value is, the greater the fluctuation of the input signal of the auxiliary channel is.

[0059] In this embodiment, the quality and accuracy of the above signal can be effectively improved by setting the noise variance.

[0060] In this embodiment, one implementation of step 152 is as follows:

[0061] Step 162: A ij is the jth sampling point number of the input signal of the i-th auxiliary channel, then the average value μ of the input signal of the i-th auxiliary channel is i for:

[0062] μ i =(A i1 +A i2 +…+A ij ) / j

[0063] Step 164: Noise variance of the auxiliary channel of the i-th channel for:

[0064]

[0065] In this embodiment, one implementation of step 156 is as follows:

[0066] Step 172: Taking the noise variance of the first matrix as σ 2 , that is:

[0067]

[0068] Step 174: The interference signal weight coefficient ω of the auxiliary channel k for:

[0069] ω k =(Rxx+σ 2 I) -1 RXY k

[0070] Wherein, I is the unit matrix, and the dimension of the unit matrix is ​​the number of the auxiliary channels. 2I represents the multiplication of the noise variance and the corresponding element of the identity matrix I.

[0071] In this embodiment, one implementation of step 108 is as follows:

[0072] Step 182: The polarization cancellation output signal C corresponding to the kth main polarization channel k for:

[0073] C k =B k -Aω k .

[0074] In this embodiment, the interference signal of the main polarization channel is cancelled by the above specific method, that is, the projection of the main polarization channel to the interference space is removed to achieve the effect of suppressing the interference signal.

[0075] Please refer to Figure 4 Another embodiment of the present specification provides a polarization cancellation anti-interference system based on radar signals, mainly comprising:

[0076] A channel determination module 202 is used to determine a main polarization channel and an auxiliary channel of a subarray antenna, wherein the main polarization channel and the auxiliary channel are orthogonal to each other;

[0077] a calculating module 204, configured to determine a first matrix and a second matrix according to the acquired input signal of the main polarized channel and the input signal of the auxiliary channel, wherein the first matrix can characterize the autocorrelation of the input signal of the auxiliary channel, and the second matrix can characterize the cross-correlation of the input signal of the auxiliary channel and the input signal of the main polarized channel;

[0078] A weight coefficient determination module 206, configured to determine the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix;

[0079] The cancellation module 208 is configured to polarization cancel the interference signal of the second matrix according to the first matrix using the interference signal weight coefficient of the auxiliary channel.

[0080] The polarization cancellation anti-interference system calculates the weight coefficient corresponding to the auxiliary channel according to the input signal of the main polarization channel and the input signal of the auxiliary channel, and can cancel the interference signal in the main polarization channel to obtain a low-interference or non-interference output signal, thereby improving the signal-to-noise ratio of the radar system, facilitating the detection of subsequent radar signal processing, and thus achieving the effect of accurately tracking and identifying the real target signal. Moreover, the above-mentioned polarization cancellation interference method is applicable to radar systems under dual-polarization array antennas, and has the advantage of strong applicability.

[0081] In this embodiment, the channel determination module 202 is used to determine that when the main polarization channel is horizontally polarized, the auxiliary channel is vertically polarized; when the main polarization channel is vertically polarized, the auxiliary channel is horizontally polarized. Through the above-mentioned setting, the space formed by the echo signal vectors in the auxiliary subarray is the interference space, and each main polarization channel is projected onto the interference space. The interference of the main polarization channel is canceled by removing the above-mentioned projection from each of the above-mentioned main polarization channels, so as to achieve the effect of suppressing the interference signal.

[0082] In this embodiment, the calculation module 204 is used to determine the first matrix Rxx according to the input signal of the auxiliary channel, that is: Rxx=A T A, where A is the matrix composed of each auxiliary channel, that is, {A1, A2, ···, A i}, A i is the input signal of the auxiliary channel of the i-th channel, A T is the conjugate transposed matrix of A. Determine the second matrix rxy according to the matrix composed of each auxiliary channel and each main polarization channel k , that is: rxy k =A T B k , where B k is the input signal of the kth main polarization channel. The first matrix Rxx can characterize the autocorrelation characteristics of the input signal of the auxiliary channel. And the first matrix Rxx is a semi-positive definite matrix. The second matrix rxy k It is possible to characterize the cross-correlation between the input signal of the auxiliary channel and the input signal of the kth main polarization channel.

[0083] In this embodiment, the system further includes an acquisition module 210, which is used to acquire an original signal of the main polarization channel and an original signal of the auxiliary channel; perform signal acquisition on the original signal of the main polarization channel and the original signal of the auxiliary channel respectively according to a preset data acquisition rate; and perform down-conversion processing on the acquired signals respectively to obtain an input signal of the main polarization channel and an input signal of the auxiliary channel respectively.

[0084] In this embodiment, the weight coefficient determination module 206 is used to determine the noise variance of each auxiliary channel according to the average value of the input signal of each auxiliary channel and the number of signal sampling points of each auxiliary channel; determine the noise variance of the first matrix according to the noise variance of each auxiliary channel; determine the interference signal weight coefficient of the auxiliary channel according to the noise variance of the first matrix, the first matrix and the second matrix. ij is the jth sampling point number of the input signal of the i-th auxiliary channel, then the average value μ of the input signal of the i-th auxiliary channel is iis: μ i =(A i1 +A i2 +…+A ij ) / j, the noise variance of the auxiliary channel of the i-th path for: The noise variance of the first matrix is ​​σ 2 , that is: The interference signal weight coefficient ω of the auxiliary channel k is: k =(Rxx+σ 2 I) - 1 RXY k , where I is the unit matrix, and the dimension of the unit matrix is ​​the number of auxiliary channels. 2 I represents the multiplication of the noise variance and the corresponding element of the unit matrix I. The noise variance has a significant impact on the interference signal weight coefficient of the auxiliary channel. The larger the noise variance value, the greater the fluctuation of the input signal of the auxiliary channel. By setting the noise variance, the quality and accuracy of the signal can be effectively improved.

[0085] In this embodiment, the cancellation module 208 is used to cancel the polarization cancellation output signal C corresponding to the kth main polarization channel. k For: C k =B k -Aω k The interference signal of the main polarization channel is cancelled by the above specific method, that is, the projection of the main polarization channel to the interference space is removed to achieve the effect of suppressing the interference signal.

[0086] Based on the same invention, another embodiment of the present specification further provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by an electronic device including multiple application programs, the electronic device executes Figure 1 The corresponding embodiment provides a polarization cancellation and anti-interference method based on radar signals.

[0087] In this specification, each embodiment is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0088] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, this specification may be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, this specification may be in the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0090] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that has the function specified in a box.

[0091] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0093] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0094] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0095] The above is only an embodiment of the present application and is not intended to limit this specification. For those skilled in the art, this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification should be included in the scope of the claims of this specification.

Claims

1. A polarization cancellation anti-interference method based on radar signals, characterized in that: include: Determine a main polarization channel and an auxiliary channel of the subarray antenna, wherein the main polarization channel and the auxiliary channel are orthogonal to each other; Determine a first matrix and a second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel, wherein the first matrix can characterize the autocorrelation of the input signal of the auxiliary channel, and the second matrix can characterize the cross-correlation of the input signal of the auxiliary channel and the input signal of the main polarization channel; Determining the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix; Polarization cancels interference signals of the second matrix according to the first matrix using the interference signal weight coefficients of the auxiliary channels.

2. The method for polarization cancellation and anti-interference based on radar signals according to claim 1, characterized in that: The determining of the main polarization channel and the auxiliary channel of the subarray antenna includes: When determining that the main polarization channel is horizontally polarized, the auxiliary channel is vertically polarized; When it is determined that the main polarization channel is vertically polarized, the auxiliary channel is horizontally polarized.

3. The method for polarization cancellation and anti-interference based on radar signals according to claim 1, characterized in that: The determining of the first matrix and the second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel includes: According to the input signal of the auxiliary channel, the first matrix Rxx is determined, which is: Rxx=A T A Among them, A is the matrix composed of each auxiliary channel, that is, {A1, A2, ···, A i }, A i is the input signal of the auxiliary channel of the i-th channel, A T is the conjugate transposed matrix of A.

4. The method for polarization cancellation and anti-interference based on radar signals according to claim 3, characterized in that: The determining of the first matrix and the second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel includes: Determine the second matrix rxy according to the matrix composed of the auxiliary channels and the main polarization channels k , that is: rxy k =A T B k Among them, B k is the input signal of the kth main polarization channel.

5. The method for polarization cancellation and anti-interference based on radar signals according to claim 1, characterized in that: Before determining the first matrix and the second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel, the method includes: Acquiring an original signal of the main polarization channel and an original signal of the auxiliary channel; Performing signal acquisition on the original signal of the main polarization channel and the original signal of the auxiliary channel respectively according to a preset data acquisition rate; Down-conversion processing is performed on the collected signals to obtain the input signal of the main polarization channel and the input signal of the auxiliary channel respectively.

6. The method for polarization cancellation and anti-interference based on radar signals according to claim 3, characterized in that: The step of determining the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix includes: Determining the noise variance of each auxiliary channel according to the average value of the input signal of each auxiliary channel and the number of signal sampling points of each auxiliary channel; Determining the noise variance of the first matrix according to the noise variance of each auxiliary channel; An interference signal weight coefficient of the auxiliary channel is determined according to the noise variance of the first matrix, the first matrix, and the second matrix.

7. The method for polarization cancellation and anti-interference based on radar signals according to claim 6, characterized in that: Determining the noise variance of each auxiliary channel according to the average value of the input signal of each auxiliary channel and the number of signal sampling points of each auxiliary channel includes: A ij is the jth sampling point number of the input signal of the i-th auxiliary channel, then the average value μ of the input signal of the i-th auxiliary channel is i for: m i =(A i1 +A i2 +…+A ij ) / j The noise variance of the auxiliary channel of the i-th channel for:

8. The method for polarization cancellation and anti-interference based on radar signals according to claim 7, characterized in that: The step of determining the interference signal weight coefficient of the auxiliary channel according to the noise variance of the first matrix, the first matrix, and the second matrix includes: The noise variance of the first matrix is ​​σ 2 , that is: The interference signal weight coefficient ω of the auxiliary channel k for: oh k =(Rxx+σ 2 ·I) -1 rxy k Wherein, I is the unit matrix, and the dimension of the unit matrix is ​​the number of the auxiliary channels. 2 I represents the multiplication of the noise variance and the corresponding element of the identity matrix I.

9. The method for polarization cancellation and anti-interference based on radar signals according to claim 8, characterized in that: The step of polarization canceling the interference signal of the second matrix based on the interference signal weight coefficient of the auxiliary channel and the first matrix includes: The polarization cancellation output signal C corresponding to the kth main polarization channel k for: C k =B k -Aω k 。 10. A polarization cancellation anti-interference system based on radar signals, characterized in that: include: A channel determination module, used to determine a main polarization channel and an auxiliary channel of a subarray antenna, wherein the main polarization channel and the auxiliary channel are orthogonal to each other; a calculation module, configured to determine a first matrix and a second matrix according to the acquired input signal of the main polarization channel and the input signal of the auxiliary channel, wherein the first matrix can characterize the autocorrelation of the input signal of the auxiliary channel, and the second matrix can characterize the cross-correlation of the input signal of the auxiliary channel and the input signal of the main polarization channel; A weight coefficient determination module, used to determine the interference signal weight coefficient of the auxiliary channel by calculating the noise variance of the first matrix; The cancellation module is used to polarization cancel the interference signal of the second matrix according to the first matrix by using the interference signal weight coefficient of the auxiliary channel.

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