A method and device for determining and judging the amplitude of a corner reflector

Abstract

A method for determining and an apparatus for determining the amplitudes of corner reflectors, the method comprising: converting a scattering matrix corresponding to each pulse of radar echoes into a Kennaugh matrix; pulse accumulation of a plurality of pulses to obtain an average Kennaugh matrix; decomposing the average Kennaugh matrix using a Yang decomposition method to obtain a Kennaugh matrix of a corner reflector; converting the Kennaugh matrix of the corner reflector into a coherence matrix, and converting the coherence matrix into a scattering matrix; and determining the amplitudes of odd-order scattering and even-order scattering in the corner reflector based on a main diagonal of the scattering matrix.

Description

Technical Field

[0001] This article relates to the field of radar detection, and specifically to a method, judgment method, and device for determining the amplitude of a corner reflector. Background Technology

[0002] Corner reflectors possess advantages such as strong RCS (Radar Cross Section), wide RCS mode, small physical size, stable RCS, and insensitivity to environmental conditions, making them widely used in polarization calibration, decoy targeting, and terrain detection. In decoy applications, corner reflectors can effectively deceive radars due to their strong RCS. Furthermore, due to their high cost-effectiveness and ease of operation, corner reflectors are frequently used to protect high-value targets such as ships and tanks, making them a commonly used passive jamming device. Therefore, researching and analyzing anti-deception jamming techniques for corner reflectors is of great significance.

[0003] For corner reflector interference suppression, polarization information can provide an effective identification method. The paper "Research on Anti-Corner Reflector Interference Based on Polarization Decomposition" uses Krogager decomposition to decompose the scattering matrices of ships and corner reflectors under a stepped-frequency radar system, comparing the changes of each basic scatterer at adjacent frequency points, and identifying corner reflectors through a dual threshold of stable frequency points and stability. The paper "Identification Method of Ships and Corner Reflectors Based on Polarization Decomposition" also uses Krogager decomposition to decompose the scattering matrices of ships and corner reflectors under a stepped-frequency radar system, obtaining the proportion of each basic scatterer, and training the target classification model using SVM (Support Vector Machine). For the polarization decomposition of the basic scatterers of corner reflectors, the above-mentioned papers all use Krogager decomposition. Observation of Krogager decomposition reveals three shortcomings when using it to solve for odd and even scattering of corner reflectors: ① Helical scattering is considered as noise excluding odd and even scattering, but helical scattering has poor representativeness for clutter. ② The Krogager decomposition assumes a zero relative phase between dihedral scattering and helical scattering, but in reality, a phase difference exists. ③ The secondary scattering model in the Krogager decomposition can effectively characterize secondary scattering at a single orientation angle, but trihedral reflectors exhibit secondary scattering at three different orientation angles. Therefore, a single secondary scattering model cannot accurately characterize the mixed model of the three types of secondary scattering. Consequently, there are certain uncertainties in solving for odd and even scattering in corner reflectors using the Krogager decomposition. Summary of the Invention

[0004] This application provides a method and apparatus for determining the amplitude of a corner reflector. The method uses pulse accumulation and Yang decomposition for noise reduction and extracts the basic scattering characteristics of the corner reflector to accurately solve the amplitude of odd and even scattering of the corner reflector in a cluttered environment.

[0005] This application provides a method for determining the amplitude of a corner reflector, the method comprising:

[0006] Convert the scattering matrix corresponding to each pulse of the radar echo into a Kennaugh matrix;

[0007] The average Kennaugh matrix is ​​obtained by accumulating multiple pulses.

[0008] The average Kennaugh matrix is ​​decomposed using the Yang decomposition method to obtain the Kennaugh matrix of the corner reflector;

[0009] The Kennaugh matrix of the corner reflector is transformed into the coherence matrix, and then the coherence matrix is ​​transformed into the scattering matrix;

[0010] For this scattering matrix, the amplitudes of odd and even scattering in the corner reflector are determined by polarization decomposition based on the main diagonal.

[0011] In one exemplary embodiment, the scattering matrix corresponding to the i-th pulse of the radar echo is:

[0012]

[0013] In the above formula, S HV S represents the scattering coefficient of a target when it is vertically polarized for transmission and horizontally polarized for reception. HH S represents the scattering coefficient of the target during horizontally polarized transmission and horizontally polarized reception. VH S represents the scattering coefficient of a target when it is horizontally polarized for transmission and vertically polarized for reception. VV This represents the scattering coefficient of the target during vertically polarized transmission and reception.

[0014] The step of converting the scattering matrix corresponding to each pulse of the radar echo into a Kennaugh matrix includes: for the scattering matrix corresponding to the i-th pulse of the radar echo, converting it into the following Kennaugh matrix:

[0015]

[0016] In the formula, {k iMN |M=0,1,2,3,N=0,1,2,3} are respectively determined by {S HH ,S HV ,S VH ,SVV The calculations determine that A0, B0, B, C, D, E, F, G, H are Huynen parameters, where...

[0017]

[0018] In one exemplary embodiment, the step of accumulating multiple pulses to obtain an average Kennaugh matrix includes:

[0019] The average Kennaugh matrix is ​​obtained according to the following formula:

[0020]

[0021] In the formula, n is the number of pulses. <k>For the average Kennaugh matrix, K i Let be the Kennaugh matrix of the i-th pulse.

[0022] In one exemplary embodiment, the step of decomposing the average Kennaugh matrix using the Yang decomposition method to obtain the Kennaugh matrix of the corner reflector includes:

[0023] The average Kennaugh matrix after pulse accumulation <k>Using the Yang decomposition method, the following formula is used to decompose... <k>Decompose:

[0024] <k>=K0+K n

[0025] In the formula, K0 is the Kennaugh matrix of the corner reflector, K n The Kennaugh matrix represents the clutter after pulse accumulation.

[0026] In one exemplary embodiment, the step of converting the Kennaugh matrix of the corner reflector to a coherence matrix and then converting the coherence matrix to a scattering matrix includes:

[0027] The Kennaugh matrix K0 of the corner reflector is transformed into the following coherence matrix;

[0028] Wherein, the correlation matrix T:

[0029]

[0030] In the formula, j 2 =-1;

[0031] Transform the coherence matrix T into the scattering matrix S k .

[0032] In one exemplary embodiment, the transformation of the coherence matrix T to the scattering matrix S... k ,include:

[0033] The Pauli vector k = [k1 k2 k3] is calculated from the coherence matrix T according to the following formula. T :

[0034]

[0035] The scattering matrix S is calculated using the Pauli vector according to the following formula. k :

[0036] S k =k1S1+k2S2+k3S3;

[0037] In the formula, S1, S2, and S3 are the basic scatterer matrices of the Pauli vector decomposition, and k1, k2, and k3 are the pre-set coefficients of the S1, S2, and S3 matrices, respectively.

[0038]

[0039] In one exemplary embodiment, the scattering matrix S k As shown in the following formula:

[0040]

[0041] In the formula, S odd For odd scattering of corner reflectors, S even Even scattering of a corner reflector; k odd For the equivalent weight of odd scattering, θ odd The phase of odd-order scattering; k even For the equivalent weight of even-order scattering, θ even The phase of even-order scattering; k cross Δθ represents the equivalent weight of cross-polarization in even-order scattering, and Δθ represents the phase difference between the principal polarization and cross-polarization in even-order scattering.

[0042] In one exemplary embodiment, determining the amplitudes of odd and even scattering in the corner reflector based on polarization decomposition along the main diagonal for the scattering matrix includes:

[0043] For the scattering matrix S k The amplitudes of odd and even scattering in the corner reflector are calculated using the following amplitude calculation formula:

[0044]

[0045]

[0046] In the above formula, k odd Let k be the amplitude of the odd scattering in the corner reflector. even S represents the amplitude of even-order scattering in the corner reflector. k (HH) represents the scattering coefficient of the target during horizontally polarized transmission and horizontally polarized reception, S k (VV) represents the scattering coefficient of the target during vertically polarized transmission and reception.

[0047] This application also provides an amplitude determination device for a corner reflector, the device comprising: a memory and a processor; characterized in that the memory is used to store a program for determining the amplitude of the corner reflector, and the processor is used to read and execute the program for determining the amplitude of the corner reflector, and execute the amplitude determination method for the corner reflector as described in any of the above embodiments.

[0048] This application also provides a method for determining corner reflectors, characterized in that the method includes:

[0049] The radar receives the echo and calculates the amplitude of odd scattering and even scattering in the corner reflector using the amplitude determination method for corner reflectors described in any of the above embodiments.

[0050] The type of corner reflector is determined based on the amplitude of the odd-order scattering and the amplitude of the even-order scattering.

[0051] This application also provides a corner reflector determination device, characterized in that the device includes: a memory and a processor; the memory is used to store a program for corner reflector determination, and the processor is used to read and execute the program for corner reflector determination, and execute the corner reflector determination method described in the above embodiments.

[0052] Compared with related technologies, this application provides a method and apparatus for determining the amplitude of a corner reflector. The method includes: converting the scattering matrix corresponding to each pulse of the radar echo into a Kennaugh matrix; accumulating multiple pulses to obtain an average Kennaugh matrix; decomposing the average Kennaugh matrix using the Yang decomposition method to obtain the Kennaugh matrix of the corner reflector; converting the Kennaugh matrix of the corner reflector into a coherence matrix, and then converting the coherence matrix into a scattering matrix; and determining the amplitudes of odd and even scattering in the corner reflector by polarization decomposition based on the main diagonal of the scattering matrix. Through the technical solution of this invention, noise reduction is performed using pulse accumulation and Yang decomposition, and by extracting the basic scattering characteristics of the corner reflector, the amplitudes of odd and even scattering from the corner reflector can be accurately solved in clutter environments.

[0053] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the solutions described in the description and the accompanying drawings. Attached Figure Description

[0054] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0055] Figure 1 This is a flowchart of the method for determining the amplitude of a corner reflector according to an embodiment of this application;

[0056] Figure 2 This is a schematic diagram of the amplitude determination device for the corner reflector according to an embodiment of this application;

[0057] Figure 3 This is a flowchart of the corner reflector determination method according to an embodiment of this application;

[0058] Figure 4 This is a schematic diagram of the corner reflector determination device according to an embodiment of this application;

[0059] Figure 5 This is a schematic diagram of the calculated odd-order scattering amplitude values ​​in an exemplary embodiment;

[0060] Figure 6 This is a schematic diagram of even-order scattering amplitude values ​​calculated in an exemplary embodiment;

[0061] Figure 7 This is a schematic diagram illustrating the error effect in an exemplary embodiment. Detailed Implementation

[0062] This application describes several embodiments, but these descriptions are exemplary and not restrictive, and it will be apparent to those skilled in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with, or may replace, any feature or element of any other embodiment.

[0063] This application includes and contemplates combinations of features and elements known to those skilled in the art. The embodiments, features, and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive scheme as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive schemes to form another unique inventive scheme as defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in this application may be implemented individually or in any suitable combination. Therefore, the embodiments are not limited except by the limitations imposed by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.

[0064] Furthermore, in describing representative embodiments, the specification may have presented methods and / or processes as a specific sequence of steps. However, the method or process should not be limited to the specific order of steps described herein, to the extent that it does not depend on such a specific order. As will be understood by those skilled in the art, other sequences of steps are also possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation of the claims. Moreover, the claims concerning the method and / or process should not be limited to the steps performed in the written order, and those skilled in the art will readily understand that these orders can be varied and still remain within the spirit and scope of the embodiments of this application.

[0065] This disclosure provides a method for determining the amplitude of a corner reflector, such as... Figure 1 As shown, the method includes steps S100-S140, as detailed below:

[0066] S100. Convert the scattering matrix corresponding to each pulse of the radar echo into a Kennaugh matrix;

[0067] S110. Accumulate multiple pulses to obtain the average Kennaugh matrix;

[0068] S120. Use the Yang decomposition method to decompose the average Kennaugh matrix to obtain the Kennaugh matrix of the corner reflector;

[0069] S130. Transform the Kennaugh matrix of the corner reflector into a coherence matrix, and then transform the coherence matrix into a scattering matrix;

[0070] S140. For this scattering matrix, determine the amplitudes of odd and even scattering in the corner reflector by polarization decomposition based on the main diagonal.

[0071] In this embodiment, the method can be applied in scenarios where corner reflectors utilize their strong RCS (Radar Cross Section) to deceive radar. These corner reflectors are commonly used to protect high-value targets such as ships and tanks. Effective and accurate identification of corner reflectors is crucial for their resistance to deception and interference.

[0072] In one exemplary embodiment, the scattering matrix corresponding to the i-th pulse of the radar echo is the target scattering matrix, which can be the echo pulse received by the radar corner reflector; the target scattering matrix is ​​a target scattering matrix containing clutter.

[0073] The scattering matrix corresponding to the i-th pulse of the radar echo is:

[0074]

[0075] In the above formula, S HV S represents the scattering coefficient of a target when it is vertically polarized for transmission and horizontally polarized for reception. HH S represents the scattering coefficient of the target during horizontally polarized transmission and horizontally polarized reception. VH S represents the scattering coefficient of a target when it is horizontally polarized for transmission and vertically polarized for reception. VV This represents the scattering coefficient of the target during vertically polarized transmission and reception.

[0076] The scattering matrix corresponding to each pulse of the radar echo is converted into a Kennaugh matrix, including: for the scattering matrix corresponding to the i-th pulse of the radar echo, it is converted into the following Kennaugh matrix:

[0077]

[0078] In the formula, {k iMN |M=0,1,2,3,N=0,1,2,3 respectively from {S HH ,S HV ,S VH ,S VV The calculations determine that A0, B0, B, C, D, E, F, G, H are Huynen parameters, where...

[0079]

[0080] Among them, {k iMN |M=0,1,2,3,N=0,1,2,3} are respectively determined by {S HH ,S HV ,S VH ,S VV The value is determined by calculation; it can be determined using the following formula: K = (Q * WQ) H ) / 2; Q*=[1 0 0 1; 1 0 0 -1; 0 1 1 0; 0 -j -j 0]; * indicates a conjugate matrix. H Represents the Hermitian matrix. Let S denote the Kronecker product, and S be the scattering matrix.

[0081] In one exemplary embodiment, assuming that the scattering matrix of the corner reflector does not change during pulse accumulation, the average Kennaugh matrix is ​​obtained by pulse accumulation of multiple pulses, including: obtaining the average Kennaugh matrix according to the following formula:

[0082]

[0083] In the formula, n is the number of pulses. <k>For the average Kennaugh matrix, K i Let be the Kennaugh matrix of the i-th pulse.

[0084] In one exemplary embodiment, the step of decomposing the average Kennaugh matrix using the Yang decomposition method to obtain the Kennaugh matrix of the corner reflector includes:

[0085] The average Kennaugh matrix after pulse accumulation <k>Using the Yang decomposition method, the following formula is used to decompose... <k>Decompose:

[0086] <k>=K0+K n

[0087] In the formula, K0 is the Kennaugh matrix of the corner reflector, K n The Kennaugh matrix represents the clutter after pulse accumulation.

[0088] In one exemplary embodiment, the step of converting the Kennaugh matrix of the corner reflector to a coherence matrix and then converting the coherence matrix to a scattering matrix includes:

[0089] The Kennaugh matrix K0 of the corner reflector is transformed into the following coherence matrix;

[0090] Wherein, the correlation matrix T:

[0091]

[0092] In the formula, j 2 =-1;

[0093] Transform the coherence matrix T into the scattering matrix S k .

[0094] In one exemplary embodiment, the transformation of the coherence matrix T to the scattering matrix S... k ,include:

[0095] The Pauli vector k = [k1 k2 k3] is calculated from the coherence matrix T according to the following formula. T :

[0096]

[0097] The scattering matrix S is calculated using the Pauli vector according to the following formula. k :

[0098] S k =k1S1+k2S2+k3S3;

[0099] In the formula, S1, S2, and S3 are the basic scatterer matrices of the Pauli vector decomposition, and k1, k2, and k3 are the pre-set coefficients of the S1, S2, and S3 matrices, respectively.

[0100]

[0101] In one exemplary embodiment, the scattering matrix S k As shown in the following formula:

[0102]

[0103] In the formula, S odd For odd scattering of corner reflectors, S even Even scattering of a corner reflector; k odd For the equivalent weight of odd scattering, θ odd The phase of odd-order scattering; k even For the equivalent weight of even-order scattering, θ even The phase of even-order scattering; k cross Δθ represents the equivalent weight of cross-polarization in even-order scattering, and Δθ represents the phase difference between the principal polarization and cross-polarization in even-order scattering.

[0104] In one exemplary embodiment, for the scattering matrix, determining the amplitudes of odd and even scattering in the corner reflector by polarization decomposition based on the main diagonal includes:

[0105] For the scattering matrix S k The amplitudes of odd and even scattering in the corner reflector are calculated using the following amplitude calculation formula:

[0106]

[0107]

[0108] In the above formula, k odd Let k be the amplitude of the odd scattering in the corner reflector. even S represents the amplitude of even-order scattering in the corner reflector. k (HH) represents the scattering coefficient of the target during horizontally polarized transmission and horizontally polarized reception, S k (VV) represents the scattering coefficient of the target during vertically polarized transmission and reception.

[0109] The embodiments of this application have the following advantages:

[0110] I. Noise reduction was achieved by using pulse accumulation and Yang decomposition, resulting in stable polarization decomposition in clutter environments;

[0111] Second, for odd and even scattering of corner reflectors, a polarization decomposition based on the main diagonal is proposed, and the basic scatterer is more suitable for the polarization characteristics of corner reflectors.

[0112] Therefore, the diagonal polarization decomposition method of this application enables more accurate polarization decomposition of corner reflectors in cluttered environments.

[0113] This application also provides an amplitude determination device for a corner reflector, such as... Figure 2 As shown, the device includes: a memory 210 and a processor 220; the memory is used to store a program for determining the amplitude of the corner reflector, and the processor is used to read and execute the program for determining the amplitude of the corner reflector, and execute the method described in any of the above embodiments.

[0114] This application also provides a method for determining corner reflectors, such as... Figure 3 As shown, the method includes: S310-S320.

[0115] S310. The radar receives the echo and calculates the amplitude of odd scattering and even scattering in the corner reflector using the amplitude determination method of the corner reflector described in any of the above embodiments.

[0116] S320. Determine the type of corner reflector based on the amplitude of odd scattering and even scattering.

[0117] This application also provides a corner reflector determination device, such as... Figure 4 As shown, the device includes: a memory 410 and a processor 420; the memory is used to store a program for determining corner reflectors, and the processor is used to read and execute the program for determining corner reflectors, and execute the corner reflector determination method described in the above embodiment.

[0118] The above embodiment is illustrated below with an example.

[0119] The right-angled sides of the trihedral reflector are all 0.25m. The incident wave frequency is 12GHz, and the wavelength λ is 0.025m. The external dimensions of the trihedral reflector satisfy 10λ. The surface of the trihedral reflector is divided into triangular facets, with the side length of the triangles being less than λ / 10. The trihedral reflector is simulated using the "PO+ILDC+SBR" model, with azimuth and elevation angles ranging from [0°, 90°] and angle intervals of 1°. The scattering matrices for primary reflection, secondary reflection, tertiary reflection, and primary diffraction are obtained. The true values ​​of odd-order and even-order scattering are calculated, such as... Figure 5 Schematic diagram of odd-order scattering amplitude values ​​and Figure 6 The diagram shows the even-order scattering amplitude values.

[0120] Clutter is introduced into each of the four polarization channels. Using Krogager decomposition, undenoised main diagonal decomposition, and the error of the method of this invention, the following error coefficients are constructed:

[0121]

[0122] In the formula, Coe odd (i,j), Coe even (i,j) represents the true values ​​of odd and even scattering at different azimuth and elevation angles, Deo odd (i,j), Deo even (i,j) are the odd and even scattering coefficients obtained using the decomposition method.

[0123] With a signal-to-noise ratio of [0dB, 20dB], the error coefficients (i.e., error effects) of Krogager decomposition, undenoised main diagonal decomposition, and the amplitude determination method of the corner reflector in this application are illustrated in the diagram below. Figure 7 As shown. Observation Figure 7 When the signal-to-noise ratio (SNR) is low, the errors of Krogager decomposition and the undenoised main diagonal decomposition are similar. However, when the SNR is higher than 5 dB, the undenoised main diagonal decomposition has a smaller error than the Krogager decomposition, indicating that the secondary scattering model in the Krogager decomposition cannot accurately represent even-order scattering in corner reflectors. Observing the method of this invention, when the SNR is higher than 7 dB, the decomposition effect is significantly better than both Krogager decomposition and the undenoised main diagonal decomposition, verifying that the method of this invention has a better denoising effect and can adapt to solving the ratio of odd-order and even-order scattering in corner reflectors under cluttered environments.

[0124] Furthermore, the time complexity of the three decomposition methods is shown in Table 1. Among the three methods, the decomposition of the main diagonal without denoising is the fastest. Since the method of this invention requires converting the scattering matrix to a Kennaugh matrix for denoising and then converting it back to the scattering matrix for decomposition, it takes the longest time. Given that the computation time of all three methods is in the millisecond range, and the corner reflector polarization decomposition method of this application has a significant improvement effect, the corner reflector polarization decomposition method of this application has certain application value.

[0125] Table 1 Comparison of time for different decomposition methods

[0126] Decomposition Krogager points Uncancelled main Method of the present invention During operation 0.0025s 0.0020s 0.0047s

[0127] As can be seen from the above examples, the method for polarization decomposition of corner reflectors using the main diagonal proposed in this application can accurately solve for the odd and even scattering of corner reflectors in cluttered environments. It has good robustness and provides important technical support for anti-deception interference of corner reflectors, and has potential engineering application value.

[0128] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.< / k> < / k> < / k> < / k> < / k> < / k> < / k> < / k>

Claims

1. A method for determining the amplitude of a corner reflector, characterized in that, The method includes: Convert the scattering matrix corresponding to each pulse of the radar echo into a Kennaugh matrix; The average Kennaugh matrix is ​​obtained by accumulating multiple pulses. The average Kennaugh matrix is ​​decomposed using the Yang decomposition method to obtain the Kennaugh matrix of the corner reflector; The Kennaugh matrix of the corner reflector is transformed into the coherence matrix, and then the coherence matrix is ​​transformed into the scattering matrix; For this scattering matrix, the amplitudes of odd and even scattering in the corner reflector are determined by polarization decomposition based on the main diagonal. The determination of the amplitudes of odd and even scattering in the corner reflector based on polarization decomposition along the main diagonal for the scattering matrix includes: For this scattering matrix The amplitudes of odd and even scattering in the corner reflector are calculated using the following amplitude calculation formula: ， In the above formula, The amplitude of odd scattering in the corner reflector. The amplitude of even-order scattering in the corner reflector. S k (HH) Represents the scattering matrix The scattering coefficient of the target during horizontally polarized transmission and horizontally polarized reception. S k (VV) Represents the scattering matrix The scattering coefficient of the target during vertical polarization transmission and vertical polarization reception.

2. The method for determining the amplitude of a corner reflector according to claim 1, characterized in that, in, The radar echo of the first The scattering matrix corresponding to each pulse is: ； In the above formula, S HV This represents the scattering coefficient of the target when transmitting with vertical polarization and receiving with horizontal polarization. S HH This represents the scattering coefficient of the target during horizontally polarized transmission and horizontally polarized reception. S VH This represents the scattering coefficient of the target when transmitting with horizontal polarization and receiving with vertical polarization. S VV This represents the scattering coefficient of the target during vertically polarized transmission and reception. The process of converting the scattering matrix corresponding to each pulse of the radar echo into a Kennaugh matrix includes: for the first pulse of the radar echo... The scattering matrix corresponding to each pulse can be converted into the following Kennaugh matrix: ； In the formula, Each by Calculation determined, These are Huynen parameters, where, ， express The conjugate matrix, express The conjugate matrix.

3. The method for determining the amplitude of a corner reflector according to claim 2, characterized in that, The step of accumulating multiple pulses to obtain the average Kennaugh matrix includes: The average Kennaugh matrix is ​​obtained according to the following formula: In the formula, n is the number of pulses. The average Kennaugh matrix, For the first The Kennaugh matrix of pulses.

4. The method for determining the amplitude of a corner reflector according to claim 3, characterized in that, The average Kennaugh matrix is ​​decomposed using the Yang decomposition method to obtain the Kennaugh matrix of the corner reflector, including: The average Kennaugh matrix after pulse accumulation Using the Yang decomposition method, the following formula is used to decompose... Decompose: In the formula, Here is the Kennaugh matrix of the corner reflector. The Kennaugh matrix represents the clutter after pulse accumulation.

5. The method for determining the amplitude of a corner reflector according to claim 4, characterized in that, The process of converting the Kennaugh matrix of the corner reflector to a coherence matrix and then converting the coherence matrix to a scattering matrix includes: Kennaugh matrix of the corner reflector Transformed into the following coherence matrix; Among them, the correlation matrix : In the formula, ; The coherence matrix Transform to scattering matrix .

6. The method for determining the amplitude of a corner reflector according to claim 5, characterized in that, The coherence matrix Transform to scattering matrix ,include: According to the following formula, through the coherence matrix Calculate the Pauli vector : ； The scattering matrix is ​​calculated using the Pauli vector according to the following formula. : ； In the formula, , , These are the fundamental scatterer matrices of the Pauli vector decomposition. k 1 , k 2 , k 3 They are respectively , , The coefficients of the matrix; ， express The conjugate matrix, express The conjugate matrix, express The conjugate matrix.

7. The method for determining the amplitude of a corner reflector according to claim 6, characterized in that, The scattering matrix As shown in the following formula: ； In the formula, For odd scattering of corner reflectors, Even-order scattering from a corner reflector; The equivalent weight of odd scattering The phase of odd-order scattering; The equivalent weight of even-order scattering The phase of even-order scattering; The equivalent proportion of cross-polarization in even-order scattering. The phase difference between the principal polarization and the cross-polarization in even-order scattering.

8. A device for determining the amplitude of a corner reflector, characterized in that, The device comprises: a memory and a processor; characterized in that the memory is used to store a program for determining the amplitude of the corner reflector, and the processor is used to read and execute the program for determining the amplitude of the corner reflector, and to execute the method according to any one of claims 1-7.

9. A method for determining a corner reflector, characterized in that, The methods include: The radar receives the echo and calculates the amplitude of odd scattering and even scattering in the corner reflector using the amplitude determination method of any one of claims 1 to 7. The type of corner reflector is determined based on the amplitude of the odd-order scattering and the amplitude of the even-order scattering.

10. A corner reflector determination device, characterized in that, The device includes a memory and a processor; the memory is used to store a program for determining corner reflectors, and the processor is used to read and execute the program for determining corner reflectors, and execute the corner reflector determination method according to claim 9.

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