Distributed radar main lobe interference resisting method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a distributed radar anti-main lobe interference method and system, electronic equipment and a storage medium, and belongs to the technical field of radar anti-interference. According to the scheme, a first radar signal and a second radar signal are obtained, the first radar signal is a radar signal received by a main radar, and the second radar signal is a radar signal received by an auxiliary radar; performing envelope alignment processing on the second radar signal to obtain a time delay correction signal; performing amplitude-phase compensation processing on the time delay correction signal to obtain an amplitude-phase equalization signal; and performing signal cancellation processing according to the first radar signal and the amplitude-phase equalization signal to obtain a first target signal. According to the invention, effective suppression of main lobe interference can be realized, and the target detection performance in a main lobe interference environment is significantly improved.

Description

Technical Field

[0001] This application relates to the field of radar anti-jamming technology, and in particular to a distributed radar anti-main lobe interference method, system, electronic device and storage medium. Background Technology

[0002] In modern radar systems, Space-Time Adaptive Processing (STAP) technology is widely used in airborne early warning radar, ground surveillance radar, and other platforms due to its excellent clutter suppression and target enhancement capabilities. STAP constructs a two-dimensional space-time filter by jointly utilizing the spatial dimension of the array antenna and the temporal dimension of the multipulse signal, effectively suppressing interference signals and ground clutter received by the radar system while ensuring target detection capabilities.

[0003] However, when interference sources enter the radar system from the main lobe direction, the interference signal and the target signal have extremely high spatial similarity. The main lobe interference will dominate the training data samples, causing the estimation results of the space-time covariance matrix to deviate from the actual noise-clutter model, and the filter performance to degrade. Under the minimum interference-clutter criterion, the STAP algorithm cannot effectively distinguish between the target and the interference, resulting in the current STAP technology having poor interference suppression effect from the antenna main lobe direction. Summary of the Invention

[0004] The main objective of this application is to propose a distributed radar anti-main lobe interference method, system, electronic device, and storage medium, aiming to effectively suppress main lobe interference and improve target detection performance under main lobe interference environment.

[0005] To achieve the above objectives, one aspect of this application proposes a distributed radar anti-main lobe interference method, the method comprising the following steps: Acquire a first radar signal and a second radar signal, wherein the first radar signal is the radar signal received by the main radar and the second radar signal is the radar signal received by the auxiliary radar; The second radar signal is envelope aligned to obtain a time delay correction signal; The time delay correction signal is subjected to amplitude and phase compensation processing to obtain an amplitude and phase equalization signal; The first target signal is obtained by performing signal cancellation processing based on the first radar signal and the amplitude-phase equalization signal.

[0006] In some embodiments, performing envelope alignment processing on the second radar signal to obtain a time delay correction signal includes the following steps: The envelope delay difference is determined based on the first interference delay of the first radar signal and the second interference delay of the second radar signal; The second radar signal is time-shifted and compensated based on the envelope delay difference to obtain a delay correction signal.

[0007] In some embodiments, the amplitude-phase compensation processing of the time delay correction signal to obtain an amplitude-phase equalization signal includes the following steps: The first amplitude coefficient is determined based on the first complex interference amplitude of the first radar signal and the second complex interference amplitude of the second radar signal; The first amplitude coefficient is determined based on the first amplitude coefficient and the envelope delay difference; The time delay correction signal is weighted according to the first amplitude and phase coefficient to obtain an amplitude and phase equalization signal.

[0008] In some embodiments, before the step of performing envelope alignment processing on the second radar signal to obtain the interference delay signal, the method further includes the following steps: Correlation analysis is performed on the first radar signal and the second radar signal to obtain a cross-correlation function, wherein the expression of the cross-correlation function is: ; In the formula, Represents the cross-correlation function. y 1( t () is the first radar signal. y 2( t ) represents the second radar signal, (·) * Indicates complex conjugation. τ This is a time-delay index.

[0009] In some embodiments, performing envelope alignment processing on the second radar signal to obtain a time delay correction signal includes the following steps: The time delay index is determined by searching for the peak value of the amplitude in the cross-correlation function; The envelope alignment position is determined based on the delay index to obtain the estimated delay difference; The second radar signal is time-shifted and compensated based on the estimated time delay difference to obtain a time delay correction signal.

[0010] In some embodiments, the amplitude-phase compensation processing of the time delay correction signal to obtain an amplitude-phase equalization signal includes the following steps: Calculate the autocorrelation matrix based on the time delay correction signal; Calculate the cross-correlation vector based on the first radar signal and the time delay correction signal; The Wienerhof equation is solved based on the autocorrelation matrix and the cross-correlation vector to obtain the adaptive weight vector; The time delay correction signal is weighted according to the adaptive weight vector to obtain an amplitude-phase equalization signal; The formula for calculating the adaptive weight vector is as follows: ; In the formula, For adaptive weight vectors, The autocorrelation matrix is... It is a cross-correlation vector.

[0011] In some embodiments, the method further includes the following steps: The joint data matrix is ​​obtained by merging and expanding the space-time data matrix of the first radar signal and the time delay correction signal. Based on the joint data matrix, training units that are spatially and temporally adjacent are selected and statistically averaged to obtain the joint covariance matrix. The space-time steering vector is determined based on the time-domain steering vector and the space-domain steering vector of the main radar; Based on the generalized minimum variance criterion, the space-time filter weight vector is determined according to the joint covariance matrix and the space-time steering vector. The first target signal is subjected to clutter suppression based on the space-time filter weight vector to obtain the second target signal.

[0012] To achieve the above objectives, another aspect of this application proposes a distributed radar main lobe jamming resistance system, the system comprising: A signal receiving module is used to acquire a first radar signal and a second radar signal, wherein the first radar signal is a radar signal received by the main radar and the second radar signal is a radar signal received by the auxiliary radar. An envelope alignment module is used to perform envelope alignment processing on the second radar signal to obtain a time delay correction signal; The amplitude and phase compensation module is used to perform amplitude and phase compensation processing on the time delay correction signal to obtain an amplitude and phase equalization signal; The signal cancellation module is used to perform signal cancellation processing based on the first radar signal and the amplitude-phase equalization signal to obtain the first target signal.

[0013] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0014] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0015] The embodiments of this application include at least the following beneficial effects: This application provides a distributed radar anti-main lobe interference method, system, electronic device, and storage medium. This scheme acquires a first radar signal and a second radar signal, wherein the first radar signal is the radar signal received by the main radar, and the second radar signal is the radar signal received by the auxiliary radar; envelope alignment processing is performed on the second radar signal to obtain a time delay correction signal; amplitude and phase compensation processing is performed on the time delay correction signal to obtain an amplitude and phase equalization signal; signal cancellation processing is performed based on the first radar signal and the amplitude and phase equalization signal to obtain a first target signal. This application can effectively suppress main lobe interference and significantly improve target detection performance under main lobe interference environments. Attached Figure Description

[0016] Figure 1 This is a flowchart of the distributed radar anti-main lobe interference method provided in the embodiments of this application; Figure 2 This is a schematic diagram showing the positional relationship between the radar, the target, and the jammer provided in an embodiment of this application; Figure 3 This is a flowchart of adaptive main lobe interference cancellation provided in the embodiments of this application; Figure 4 This is a schematic diagram of the joint data matrix of the distributed radar anti-main lobe interference STAP method provided in the embodiments of this application; Figure 5 This is the range Doppler image output by the main radar STAP under the condition of no main lobe interference provided in the embodiments of this application; Figure 6 This is the range Doppler image output by the main radar STAP under main lobe interference conditions provided in the embodiments of this application; Figure 7 This is the range Doppler image output by the distributed radar anti-main lobe interference method provided in the embodiments of this application; Figure 8 This is the range Doppler image output by the distributed radar anti-main lobe interference STAP method provided in the embodiments of this application; Figure 9 This is a schematic diagram of the structure of the distributed radar anti-main lobe interference system provided in the embodiments of this application; Figure 10 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0018] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0019] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0021] Before providing a detailed description of the embodiments of this application, the terms and some related technologies involved in the embodiments of this application will be explained first.

[0022] (1) STAP (Space-Time Adaptive Processing): An interference suppression technique that combines spatial domain (array antenna) and time domain (multipulse) processing, widely used in radar target detection and tracking tasks.

[0023] (2) Mainlobe Interference: refers to strong interference signals that are injected from the direction of the main lobe of the radar antenna. Because of their high similarity to the target signal in spatial characteristics, they are extremely difficult to suppress effectively by general methods.

[0024] (3) Covariance Matrix: A statistical matrix used to describe the clutter and interference characteristics in echo data, and is the core basis for STAP filter design.

[0025] (4) Envelope Alignment: A time delay correction technique that eliminates the time difference between primary and secondary signals by estimating the arrival time difference of the same interference signal received by different radars.

[0026] (5) Amplitude-Phase Compensation: The amplitude and phase of the auxiliary signal are adjusted to achieve interference cancellation and eliminate the amplitude-phase inconsistency between the main and auxiliary radars.

[0027] (6) Steering Vector: Represents the phase structure of the echo signal in the target direction, used for space-time filter design and beamforming.

[0028] (7) Wiener-Hopf Equation: A type of equation in adaptive filtering theory used to solve for the optimal filter weight vector to minimize the output power.

[0029] (8) False Target Cloning: The phenomenon of false target echoes that may be introduced during the interference cancellation process is one of the potential side effects of the method in this application.

[0030] Researchers have proposed various suppression methods to address the main lobe interference problem, which mainly include the following categories: (1) Auxiliary array method: By adding an auxiliary array next to the main array, interference modeling and cancellation are performed using the interference signal received by the auxiliary array. The main lobe interference suppression method based on transmit phase code optimization constructs a modified transmit steering vector by optimizing the transmit phase code and minimizing its projection on the interference subspace, thereby achieving interference suppression.

[0031] This method can suppress main lobe interference to some extent, but it requires additional hardware resources, increasing the complexity and cost of the system.

[0032] (2) Feature Subspace Projection Method: Using the feature subspace information of the interference signal, a projection matrix is ​​constructed, and the received signal is projected onto the orthogonal complement space of the interference subspace, thereby suppressing the interference. For example, a study proposed a multi-main-lobe interference suppression method based on feature oblique projection. By classifying the interference, reconstructing the feature subspace, and constructing the feature oblique projection matrix, the main-lobe interference is suppressed.

[0033] This method works well when the direction of interference is known, but its performance may degrade when the direction of interference is unknown or variable.

[0034] (3) Beam reshaping method: By adjusting the beam shape, the main lobe direction is concave, thereby suppressing main lobe interference. For example, the STAP clutter suppression algorithm based on beam reshaping estimates and suppresses clutter components in the side lobes to the maximum extent while maintaining the integrity of the main lobe, thereby preserving the target's angle and Doppler frequency information.

[0035] This method can suppress main lobe interference to some extent, but it may lead to the loss of target signal and affect detection performance.

[0036] (4) MIMO radar technology: Multiple-input multiple-output (MIMO) radar increases the system's degrees of freedom by transmitting multiple independent signals, providing more means of interference suppression. For example, Huake Wang et al. proposed a main lobe interference suppression method based on MIMO-STCA radar, which introduced a non-uniform sample selection algorithm for cumulative sampling to remove target contamination samples, ensure the accurate estimation of the interference plus noise covariance matrix, and utilize the orthogonality of the noise subspace to achieve interference suppression.

[0037] Although MIMO radar technology offers more processing freedom, its system complexity and computational burden limit its widespread adoption in certain applications.

[0038] (5) STAP technology makes full use of the multiple spatial channel information provided by multi-channel radar and the time domain information provided by coherent pulse train, and achieves effective suppression of clutter through two-dimensional adaptive filtering in both spatial and temporal domains.

[0039] However, due to the indistinguishability of directions, interference signals in the main lobe direction share similar spatial characteristics with the target signal, making it difficult for STAP processing to accurately model and identify them, thus failing to effectively filter out interference. Simultaneously, strong main lobe interference signals dominate the training data samples, causing the estimated spatiotemporal covariance matrix to deviate from the actual noise-clutter model, degrading filter performance. More critically, the STAP method assumes local consistency in the clutter environment; the presence of main lobe interference breaks this consistency, rendering the training samples invalid. Furthermore, in complex electronic warfare scenarios (such as adaptive main lobe suppression jamming), the processing capacity of a single radar system has limitations, further restricting the anti-jamming effect.

[0040] Based on the above issues, when interference enters the radar from the main lobe direction, the performance of STAP will be limited. This is because the weights of STAP optimization are calculated by minimizing interference and clutter while providing a large gain in the target direction. For main lobe interference that is similar in direction to the target signal, the weight optimization may mistake the main lobe interference for part of the target signal, thus failing to effectively suppress the interference and causing problems such as "target loss" or "increased false alarm rate".

[0041] In view of this, embodiments of this application provide a distributed radar anti-main lobe interference method, system, electronic device, and storage medium. This scheme acquires a first radar signal and a second radar signal, wherein the first radar signal is the radar signal received by the main radar, and the second radar signal is the radar signal received by the auxiliary radar; envelope alignment processing is performed on the second radar signal to obtain a time delay correction signal; amplitude and phase compensation processing is performed on the time delay correction signal to obtain an amplitude and phase equalization signal; signal cancellation processing is performed based on the first radar signal and the amplitude and phase equalization signal to obtain a first target signal. This application can effectively suppress main lobe interference and significantly improve target detection performance under main lobe interference environments.

[0042] The distributed radar anti-main lobe interference method provided in this application relates to the field of radar anti-jamming technology. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application implementing the distributed radar anti-main lobe interference method, but is not limited to the above forms.

[0043] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0044] Figure 1 This is an optional flowchart of the distributed radar anti-main lobe interference method provided in the embodiments of this application. Figure 1 The method may include, but is not limited to, steps S101 to S104.

[0045] Step S101: Acquire the first radar signal and the second radar signal, wherein the first radar signal is the radar signal received by the main radar and the second radar signal is the radar signal received by the auxiliary radar.

[0046] Step S102: Perform envelope alignment processing on the second radar signal to obtain a time delay correction signal.

[0047] Step S103: Perform amplitude and phase compensation processing on the time delay correction signal to obtain an amplitude and phase equalization signal.

[0048] Step S104: Perform signal cancellation processing based on the first radar signal and the amplitude-phase equalization signal to obtain the first target signal.

[0049] In this embodiment, the main and auxiliary radars are located at spatially separate positions. By setting up an auxiliary radar at a distance from the main radar, the data received by the auxiliary radar and the data received by the main radar are jointly processed to achieve joint suppression of main lobe interference.

[0050] Specifically, distributed radar is a collaborative sensing system composed of multiple radars physically distributed in different locations. These radars share information to enhance target detection and anti-jamming capabilities. Assuming a distributed system consisting of a main radar and auxiliary radars, the main radar is the primary component for target detection, while the auxiliary radars are subsystems that assist the main radar in suppressing interference or enhancing sensing accuracy. The key to distributed radar anti-main lobe interference technology lies in the strong correlation between interference signal components and the decorrelation between target signal components in the echo signals received by the main and auxiliary radars. By performing time delay alignment and amplitude-phase correction on the echo signals received by the main and auxiliary radars respectively, and then performing signal cancellation processing, interference signals in the main lobe direction can be effectively suppressed.

[0051] For example, refer to Figure 2 Taking a single jammer and two radars as an example, with the two radars serving as the main radar and auxiliary radar respectively, in order to decorrelate the target signal and strongly correlate the jamming signal in the echo signals received by the main and auxiliary radars, the main and auxiliary radars must meet the following conditions: the radar spacing between the main and auxiliary radars... L d Distance between the target and the main radar R t conform to L d ≥ R t λ / D ,in, λ The operating wavelength of the primary and secondary radars. D The target size.

[0052] Assuming the target and the jammer overlap in space (self-defense jamming), and both the main and auxiliary radar beams point towards the target, the spatial diagram is as follows. Figure 2 As shown, after acquiring the echo, the auxiliary radar sends the collected data to the main radar. The main radar, having completed its own signal reception, combines the data from the auxiliary radar to carry out joint processing operations.

[0053] The echo signals received by the primary and secondary radars contain target echoes, main lobe interference, and background noise. Assuming that the echo signals received by the primary and secondary radars undergo conventional beamforming, the first radar signal from the primary radar is obtained. y 1( t ) and the second radar signal of the auxiliary radar y 2( t ), of which the first radar signal y 1( t ) and second radar signal y 2( t ) is represented as: (1); (2); In the formula, j 0( t () is an interference signal. The first complex amplitude of the interference signal received by the main radar. The second complex amplitude of the interference signal received by the auxiliary radar. The first echo complex amplitude of the target echo received by the main radar. To assist the radar in receiving the second echo complex amplitude of the target echo, The first interference delay for the main radar to receive interference. The second interference delay is used to assist the radar in receiving interference. The first echo delay of the target echo received by the main radar. To assist the radar in receiving the second echo delay of the target echo, f 0 represents the carrier wave. n 1( t )and n 2( t These are the noise signals of the main radar and the auxiliary radar, respectively.

[0054] It should be noted that, in cases of self-defense interference, = , = .

[0055] As can be seen from equations (1) and (2), there are differences in amplitude response and time delay between the main radar and the auxiliary radar in the process of receiving echo signals. In order to cancel the interference signal components in the echo signals received by the main radar, it is necessary to preprocess the interference signal components in the auxiliary radar to compensate for these differences.

[0056] The first step in preprocessing is to perform envelope alignment, which is done by adjusting the second radar signal. y 2( t Envelope alignment is performed to obtain a time delay correction signal, which corrects the time delay between the main radar and the auxiliary radar. Envelope alignment adjusts the second radar signal received by the auxiliary radar. y 2( t The time delay of the second radar signal y 2( t The amplitude envelope (i.e., the time-varying profile of the signal energy) and the first radar signal received by the main radar. y 1( t The envelopes of the two radar signals coincide in the time domain, and the second radar signal after time-domain synchronization is the time delay correction signal. .

[0057] The second step in preprocessing is to perform amplitude and phase compensation to obtain the time delay correction signal. Then, further correction is performed based on the time delay signal. and the first radar signal y 1( t Amplitude and phase compensation is performed to address the amplitude and phase deviations between interference signals. Amplitude and phase compensation is used to correct the time delay signal. Interference frequency band and first radar signal y 1( t Minimize the energy difference to obtain an amplitude-phase equalized signal. .

[0058] During the signal cancellation phase, the first radar signal y 1( t ) and amplitude-phase equalization signal The interference cancels out, thus filtering out the main lobe interference and obtaining the first target signal. e ( t ), first target signal e ( t The calculation formula for ) is as follows: (3).

[0059] In some embodiments, step S102 may include, but is not limited to, steps S201 to S202.

[0060] Step S201: Determine the envelope delay difference based on the first interference delay of the first radar signal and the second interference delay of the second radar signal.

[0061] Step S202: Perform time-shift compensation processing on the second radar signal based on the envelope time delay difference to obtain a time delay correction signal.

[0062] In this embodiment, according to formulas (1) and (2), it can be seen that there is a time delay difference between the same signal component when the main radar and the auxiliary radar receive the echo signal. To compensate for the time difference, based on the first radar signal... y 1( t First interference delay Second radar signal y 2( t The second interference delay Calculate envelope delay difference : (4).

[0063] After obtaining the envelope delay difference, the second radar signal is analyzed based on the envelope delay difference. y 2( t Time shift compensation processing is performed to obtain the time delay correction signal. This process can be described by the following formula: (5).

[0064] In some embodiments, step S103 may include, but is not limited to, steps S301 to S303.

[0065] Step S301: Determine the first amplitude coefficient based on the first interference complex amplitude of the first radar signal and the second interference complex amplitude of the second radar signal.

[0066] Step S302: Determine the first amplitude coefficient based on the first amplitude coefficient and the envelope delay difference.

[0067] Step S303: The time delay correction signal is weighted according to the first amplitude and phase coefficient to obtain the amplitude and phase equalization signal.

[0068] In this embodiment, according to formulas (1) and (2), it can be seen that during the process of receiving echo signals, the main radar and the auxiliary radar have differences in amplitude response in addition to time delay. This is because although the first radar signal received by the main radar and the second radar signal received by the auxiliary radar come from the same interference source, there is an amplitude-phase deviation between the signals due to differences in propagation paths and other factors.

[0069] According to the first radar signal y 1( t The first interference complex amplitude Second radar signal y 2( t The second interference complex amplitude Determine the first amplitude coefficient.

[0070] Furthermore, after obtaining the first amplitude coefficient, it is also necessary to determine the first phase coefficient, which includes time delay information. The envelope delay difference obtained in step S201 is then used... Combined with the first amplitude coefficient, the first phase coefficient is obtained. The first phase coefficient Let be a complex constant representing the amplitude and phase deviation between the interference signals received by the main radar and the auxiliary radar. This constant is used to simultaneously compensate for amplitude differences and amplitude-phase differences caused by propagation delay. This process can be described by the following formula: (6).

[0071] According to the first phase coefficient For time delay correction signal Weighting is performed to obtain the amplitude-phase equalized signal. This process can be described by the following formula: (7).

[0072] In step S104 of some embodiments, the first radar signal is processed according to formulas (3)-(7). y 1( t The amplitude and phase equalization signal obtained in step S303 Signal cancellation is performed to suppress main lobe interference, resulting in the first target signal after main lobe interference suppression. e ( t )for: (8).

[0073] As can be seen from equation (8), during the main lobe interference suppression process, a gain of magnitude of will be introduced into the main radar signal. False copy targets and noise.

[0074] In some other embodiments, prior to step S102, the distributed radar anti-main lobe interference method may include, but is not limited to, step S401.

[0075] Step S401: Perform correlation analysis on the first radar signal and the second radar signal to obtain the cross-correlation function.

[0076] Furthermore, step S102 may include, but is not limited to, steps S501 to S503.

[0077] Step S501: Determine the time delay index by searching for the peak value of the cross-correlation function.

[0078] Step S502: Determine the envelope alignment position based on the delay index to obtain the estimated delay difference.

[0079] Step S503: Perform time shift compensation processing on the second radar signal based on the estimated time delay difference to obtain the time delay correction signal.

[0080] In this embodiment, the interference cancellation process in steps S102 to S104 is a direct open-loop cancellation method. However, in reality, direct open-loop cancellation is difficult to implement because, to achieve envelope alignment, the coordinate error between the radar and the interference source is typically required to be within one percent of the range resolution. Accurate amplitude and phase compensation places even stricter requirements on the coordinate error, usually requiring it to be less than one-thousandth of the wavelength. Furthermore, accurate amplitude and phase compensation requires knowledge of key system parameters such as receiver channel response and interference direction. These conditions are often difficult to meet in practical applications.

[0081] Therefore, this embodiment provides another adaptive processing method to effectively suppress main lobe interference, and the relevant processing flow is as follows: Figure 3As shown.

[0082] First, it is assumed that in the distributed radar anti-main lobe interference method based on adaptive processing, the configuration of the main radar, auxiliary radar, and jammer is the same as in the direct open-loop cancellation method, and parameters such as envelope delay difference are unknown. Through correlation analysis of the first and second radar signals, the following is obtained: y 1( t )and y 2( t cross-correlation function The expression for the cross-correlation function is: (9); In the formula, Let represent the cross-correlation function, (·) * Indicates complex conjugation. τ This is a time-delay index.

[0083] when At this time, the cross-correlation function will show an amplitude peak. Therefore, the position of envelope alignment can be determined by searching for the point with the largest amplitude in the cross-correlation function, thereby achieving an effective estimate of the time delay difference and then performing envelope alignment. The estimation method can be expressed by the following formula: (10); In the formula, To estimate the time delay difference.

[0084] The estimated time delay difference Second radar signal used for receiving auxiliary radar y 2( t Envelope alignment is performed to eliminate the time delay difference in the echo envelope between the interference signals received by the auxiliary radar and the main radar. The time delay correction signal obtained after alignment is... It can be represented as: (11).

[0085] In some other embodiments, step S103 may include, but is not limited to, steps S601 to S604.

[0086] Step S601: Calculate the autocorrelation matrix based on the time delay correction signal.

[0087] Step S602: Calculate the cross-correlation vector based on the first radar signal and the time delay correction signal.

[0088] Step S603: Solve the Wienerhof equation based on the autocorrelation matrix and cross-correlation vector to obtain the adaptive weight vector.

[0089] Step S604: The time delay correction signal is weighted according to the adaptive weight vector to obtain the amplitude-phase equalization signal.

[0090] In this embodiment, the autocorrelation matrix is ​​a mathematical tool used to describe the correlation between elements within data. Its rows and columns correspond to sequence elements, and the matrix element values ​​reflect the degree of correlation between corresponding data points. Based on the time delay correction signal... Autocorrelation calculations are performed, and the similarity between the time-delayed corrected signal and its own delayed signal is evaluated using the autocorrelation function to obtain the autocorrelation matrix of the auxiliary radar received signal. .

[0091] At the same time, according to the first radar signal y 1( t and time delay correction signal Cross-correlation calculations are performed, and the similarity between the two signals is evaluated using the cross-correlation function to obtain the cross-correlation vector of the signals received by the primary and secondary radars. .

[0092] Next, based on the autocorrelation matrix and cross-correlation vector The adaptive weight vector is obtained by solving the Wiener-Hoff equation. The formula for calculating the adaptive weight vector is: (12).

[0093] Finally, the obtained adaptive weight vector is used Compensation delay correction signal The amplitude-phase difference in the signal, the amplitude-phase equalization signal obtained after compensation. It can be represented as: (13).

[0094] In step S104 of some embodiments, the first radar signal is processed according to formulas (3) and (13). y 1( t The amplitude and phase equalization signal obtained in step S604 Signal cancellation is performed to suppress main lobe interference, resulting in the first target signal after main lobe interference suppression. e ( t )for: (14).

[0095] It should be noted that the distributed radar anti-main lobe interference method based on adaptive processing does not require high accuracy of the position information of the jammer and the main and auxiliary radars. By performing correlation analysis on the received signals of the main and auxiliary radars to estimate the envelope delay difference between them, and then using adaptive weight vectors to adaptively compensate for the amplitude and phase difference of the interference signal components between the main and auxiliary radars, it is more suitable for practical applications.

[0096] In some embodiments, the distributed radar anti-main lobe interference method may also include, but is not limited to, steps S701 to S705.

[0097] Step S701: The space-time data matrix of the first radar signal and the time delay correction signal are merged and expanded to obtain a joint data matrix.

[0098] Step S702: Based on the joint data matrix, select training units that are spatially and temporally close and perform statistical averaging to obtain the joint covariance matrix.

[0099] Step S703: Determine the space-time steering vector based on the time-domain steering vector and the air-domain steering vector of the main radar.

[0100] Step S704: Based on the generalized minimum variance criterion, determine the space-time filter weight vector according to the joint covariance matrix and the space-time steering vector.

[0101] Step S705: Clutter suppression is applied to the first target signal based on the space-time filter weight vector to obtain the second target signal.

[0102] In this embodiment, a joint clutter suppression mechanism is achieved by jointly processing the data received by the auxiliary radar and the data received by the main radar. Although the aforementioned distributed radar anti-main-lobe interference method utilizes the strong correlation between interference signals and the decorrelation of target signals in the echo signals received by the main and auxiliary radars to effectively suppress main-lobe interference, the strong clutter problem faced by airborne radar cannot be solved by distributed radar anti-main-lobe interference technology. Therefore, it is necessary to combine the STAP method with distributed radar anti-main-lobe interference technology to achieve joint suppression of clutter and main-lobe interference.

[0103] like Figure 4 As shown, the space-time data matrix of the first radar signal and the time delay correction signal are merged and expanded to obtain a joint data matrix of size (N+1)×M×L, where N is the number of array elements, M is the number of pulses, and L is the number of range gates.

[0104] Specifically, the echo data received by the main radar is pulse-compressed to obtain a space-time data matrix of size N × M × L, and the echo data received by the auxiliary radar is envelope-aligned to obtain a data matrix of size 1 × M × L. The two data matrices are then combined... Figure 3 The data is merged in an illustrative manner to obtain a joint data matrix of size (N+1) × M × L.

[0105] The distributed radar anti-main-lobe interference STAP method first selects an appropriate amount of range cell data around the target cell as a training dataset to estimate the clutter and interference characteristics of the target cell. Due to the additional data provided by the auxiliary radar, the distributed radar anti-main-lobe interference STAP method can estimate main-lobe interference more accurately than using the STAP method directly.

[0106] For example, let x joint Let the spatiotemporal snapshot data of a certain distance cell in the joint data matrix represent the estimated joint covariance matrix. R joint for: (15); In the formula, L joint The number of training units selected.

[0107] The signal data provided by the auxiliary radar makes the estimation of the covariance matrix for main lobe interference more accurate in the joint covariance matrix estimation. However, the distance between the auxiliary radar and the main radar is relatively large, and the data is spatially uncoordinated. Therefore, the data provided by the auxiliary radar cannot be combined with the echo data received by the main radar for space-time filtering. Consequently, when calculating the optimal weight vector, the space-time steering vector... S joint for: (16); In the formula, b t For time-domain steering vectors, a t The spatial guidance vector for the target.

[0108] Based on the generalized minimum variance criterion (MVDR), the joint covariance matrix obtained in step S702... R joint and the spacetime steering vector obtained in step S703 S joint Calculate the optimal weight vector of the space-time filter. W joint The calculation formula is: (17).

[0109] The space-time filter weight vector W joint The test unit used for the main radar performs clutter suppression on the first target signal, enabling target detection under main lobe interference.

[0110] Understandably, the STAP method for distributed radar anti-main lobe jamming combines the function of distributed radar anti-main lobe jamming technology to eliminate main lobe jamming with the function of STAP method to suppress clutter, and can be effectively applied to scenarios where airborne radar is jammed by jamming aircraft using main lobe jamming.

[0111] The following is a detailed introduction and explanation of the solutions in the embodiments of the present invention, with reference to specific application examples.

[0112] The distributed radar anti-main lobe interference STAP method provided in this application provides a joint data matrix construction method that can improve the estimation accuracy of the interference covariance matrix, and the space-time steering vector construction method is adapted to the non-cooperative characteristics of heterogeneous radar data.

[0113] This method is highly practical and portable, applicable to various novel radar architectures, and particularly valuable in environments with strong interference threats along the main lobe direction. Therefore, it can be widely used in military or civilian radar systems, especially suitable for the following types of products or platforms: (1) Airborne early warning radar system: used for air surveillance, missile early warning and strike judgment, can effectively resist electronic interference in the main lobe direction and improve the ability to detect air targets.

[0114] (2) Ground surveillance radar system: Reliably identify low, slow and small targets (such as ground vehicles and low-altitude UAVs) in a high clutter background, and improve battlefield situational awareness.

[0115] (3) Shipborne or ground-based phased array radar: enhance its ability to continuously track targets and resist interference in complex electromagnetic environments.

[0116] (4) Distributed radar system and multi-base cooperative sensing platform: The anti-interference robustness of the system is further improved by the cooperative operation of spatially distributed radars.

[0117] (5) Electronic countermeasures assessment and anti-interference test equipment: as an important supporting module for assessing the impact of main lobe suppression interference and the anti-interference effect of the system.

[0118] Specifically, in this embodiment, a distributed cooperative system is composed of a main radar and an auxiliary radar. The interference signals received by the main and auxiliary radars are highly correlated, while the target signals are decorrelated.

[0119] First, signal modeling and data construction are performed on the signals received by the main radar and the auxiliary radar. The main radar received signal includes target echo, main lobe interference and background noise. After time delay alignment and amplitude-phase compensation, the auxiliary radar received signal mainly reflects the interference component. The space-time data matrix of the main radar and the time delay aligned data of the auxiliary radar are merged to form an extended dataset and a joint data matrix is ​​constructed to estimate the space-time covariance matrix.

[0120] The following key operations are used to cancel interference signals and restore the target: By using the cross-correlation function of the primary and secondary radar signals, the interference envelope delay difference is estimated in order to align the envelope of the received signal from the secondary radar.

[0121] The adaptive Wiener filtering method is used to perform weighted matching on the envelope-aligned auxiliary radar data to achieve amplitude and phase compensation. The main radar received signal and the amplitude- and phase-compensated auxiliary radar received signal are then used to cancel the interference signal.

[0122] Next, based on the constructed joint data matrix, training units that are spatially and temporally adjacent are selected for statistical averaging to estimate the joint covariance matrix. R joint .

[0123] Since the auxiliary radar cannot participate in spatial filtering, its space-time steering vector is .

[0124] Finally, based on the generalized minimum variance criterion, the space-time filter weight vector is designed as follows: .

[0125] The space-time filter weight vector is used in the test unit of the main radar to achieve target detection under main lobe interference.

[0126] For example, taking an airborne L-band radar as an example, the main radar and the auxiliary radar are deployed on two flight platforms with a 50 km interval. The interference source is simulated by illuminating from the main lobe direction using noise suppression. The simulation parameters are shown in Table 1.

[0127] By simulating the presence and absence of main lobe interference, and comparing the suppression effects of the main lobe interference component and clutter interference component using a general space-time adaptive processing algorithm, the distributed radar anti-main lobe interference method provided in this application embodiment, and the distributed radar anti-main lobe STAP method, the simulation comparison results show that after processing by the distributed radar anti-main lobe interference STAP method provided in this application embodiment, the main lobe interference in the main radar signal is effectively canceled, the target reappears in the range-Doppler image, and the system also maintains a strong suppression capability for clutter components.

[0128] However, similar to how distributed radar anti-main lobe jamming technology introduces duplicated false targets, the distributed radar anti-main lobe jamming STAP method also introduces duplicated false targets. Furthermore, since both the main radar and the auxiliary radar receive strong clutter components in their signal echoes, the distributed radar anti-main lobe jamming STAP method also introduces clutter components from the auxiliary radar. When the main radar performs STAP processing, it can only suppress the clutter it receives, but cannot effectively suppress the clutter components introduced from the auxiliary radar.

[0129] Table 1 Simulation parameters of the STAP method to resist main lobe interference

[0130] Specifically, refer to Figure 5 , Figure 5 This is the range Doppler image output by the main radar STAP under interference-free conditions. Figure 5 As can be observed, in the absence of interference, the STAP processor can effectively suppress clutter, and the target can be clearly displayed.

[0131] However, refer to Figure 6 , Figure 6 This is the range Doppler image output by the main radar STAP under main lobe suppression interference. Figure 6 As can be observed, when noise suppression interference enters the radar system from the main lobe, the current STAP method cannot effectively suppress the interference as it does when dealing with noise suppression interference entering the radar system from the side lobes. The target will be overwhelmed by the main lobe suppression interference, which seriously affects the radar's target detection performance.

[0132] Figure 7 After using the distributed radar anti-main lobe interference method provided in this application, the range Doppler image of the target echo received by the main radar after canceling the main lobe interference component shows that the interference component in the main radar is eliminated after main lobe interference cancellation, and the target signal is revealed. However, this method can only eliminate main lobe interference and cannot suppress clutter. Therefore, the clutter component of the main radar, as well as the clutter components of the duplicated false target and the auxiliary radar introduced by the distributed radar anti-main lobe interference method, can be clearly seen in the figure.

[0133] In view of this, this embodiment further combines the functions of the STAP method and the distributed radar anti-main lobe interference method to propose a distributed radar anti-main lobe interference STAP method based on distributed radar collaborative processing and improved space-time filter design.

[0134] like Figure 8 As shown, Figure 8 The range Doppler image after using the distributed radar anti-main lobe interference STAP method, and... Figure 7 The comparison shows that the STAP method for distributed radar anti-main lobe interference can not only eliminate the main lobe interference component in the echo signal received by the main radar, but also effectively suppress the clutter component of the main radar, combining the functions of the STAP method and the distributed radar anti-main lobe interference method.

[0135] Compared to the current STAP scheme, the distributed radar anti-main lobe jamming STAP method can significantly improve jamming suppression performance under main lobe jamming environments and solve the problem of the main lobe "blind zone". Furthermore, compared to auxiliary array schemes that rely on hardware modifications or system synchronization, this method has stronger practicality and scalability, and is suitable for various platforms and tactical requirements.

[0136] In summary, the distributed radar anti-main lobe interference method of this application embodiment has the following effects: (1) Improve target detection performance under main lobe interference: Establish an interference modeling and cancellation framework through multi-radar cooperation to effectively suppress main lobe interference and improve target detection performance.

[0137] (2) Reduce dependence on interference direction and system error: Through the collaborative processing of the distributed radar system, the dependence on interference direction and system error is reduced, and the robustness of the system is improved.

[0138] (3) Enhance the accuracy of covariance matrix estimation: Improve the ability to model interference features in joint training samples, enhance the accuracy of covariance matrix estimation, and improve filter performance.

[0139] (4) Possesses engineering practicality and portability: It is adaptable to space-time processing tasks in a variety of complex scenarios, possesses good engineering practicality and portability, and is easy to deploy and apply in actual systems.

[0140] Reference Figure 9 This application also provides a distributed radar anti-main lobe interference system. This system is applied to the main radar of a distributed radar system and can implement the aforementioned distributed radar anti-main lobe interference method. The distributed radar includes a main radar and an auxiliary radar. The system includes: The signal receiving module is used to acquire a first radar signal and a second radar signal, wherein the first radar signal is the radar signal received by the main radar and the second radar signal is the radar signal received by the auxiliary radar.

[0141] The envelope alignment module is used to perform envelope alignment processing on the second radar signal to obtain a time delay correction signal.

[0142] The amplitude and phase compensation module is used to perform amplitude and phase compensation processing on the time delay correction signal to obtain an amplitude and phase equalization signal.

[0143] The signal cancellation module is used to perform signal cancellation processing based on the first radar signal and the amplitude-phase equalization signal to obtain the first target signal.

[0144] It is understood that the content of the above method embodiments is applicable to this system embodiment. The specific functions implemented in this system embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0145] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described distributed radar anti-main lobe interference method. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0146] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0147] Reference Figure 10 , Figure 10 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 901 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0148] The memory 902 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 902 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 902 and is called and executed by the processor 901 to execute the distributed radar anti-main lobe interference method of the embodiments of this application.

[0149] The input / output interface 903 is used to implement information input and output.

[0150] The communication interface 904 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0151] Bus 905 transmits information between various components of the device, such as processor 901, memory 902, input / output interface 903, and communication interface 904.

[0152] The processor 901, memory 902, input / output interface 903, and communication interface 904 are connected to each other within the device via bus 905.

[0153] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described distributed radar anti-main lobe interference method.

[0154] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0155] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0156] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0157] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0158] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0159] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0160] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0161] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A distributed radar anti-main lobe interference method, characterized in that, The method is applied to the main radar of a distributed radar system, which includes a main radar and auxiliary radars. The method includes the following steps: Acquire a first radar signal and a second radar signal, wherein the first radar signal is the radar signal received by the main radar and the second radar signal is the radar signal received by the auxiliary radar; The second radar signal is envelope aligned to obtain a time delay correction signal; The time delay correction signal is subjected to amplitude and phase compensation processing to obtain an amplitude and phase equalization signal; The first target signal is obtained by performing signal cancellation processing based on the first radar signal and the amplitude-phase equalization signal.

2. The method according to claim 1, characterized in that, The process of performing envelope alignment on the second radar signal to obtain a time delay correction signal includes the following steps: The envelope delay difference is determined based on the first interference delay of the first radar signal and the second interference delay of the second radar signal; The second radar signal is time-shifted and compensated based on the envelope delay difference to obtain a delay correction signal.

3. The method according to claim 2, characterized in that, The step of performing amplitude and phase compensation processing on the time delay correction signal to obtain an amplitude and phase equalization signal includes the following steps: The first amplitude coefficient is determined based on the first complex interference amplitude of the first radar signal and the second complex interference amplitude of the second radar signal; The first amplitude coefficient is determined based on the first amplitude coefficient and the envelope delay difference; The time delay correction signal is weighted according to the first amplitude and phase coefficient to obtain an amplitude and phase equalization signal.

4. The method according to claim 1, characterized in that, Before the step of performing envelope alignment processing on the second radar signal to obtain the interference delay signal, the method further includes the following steps: Correlation analysis is performed on the first radar signal and the second radar signal to obtain a cross-correlation function, wherein the expression of the cross-correlation function is: ； In the formula, Represents the cross-correlation function. y 1( t () is the first radar signal. y 2( t ) represents the second radar signal, (·) * Indicates complex conjugation. τ This is a time-delay index.

5. The method according to claim 4, characterized in that, The process of performing envelope alignment on the second radar signal to obtain a time delay correction signal includes the following steps: The time delay index is determined by searching for the peak value of the amplitude in the cross-correlation function; The envelope alignment position is determined based on the delay index to obtain the estimated delay difference; The second radar signal is time-shifted and compensated based on the estimated time delay difference to obtain a time delay correction signal.

6. The method according to claim 5, characterized in that, The step of performing amplitude and phase compensation processing on the time delay correction signal to obtain an amplitude and phase equalization signal includes the following steps: Calculate the autocorrelation matrix based on the time delay correction signal; Calculate the cross-correlation vector based on the first radar signal and the time delay correction signal; The Wienerhof equation is solved based on the autocorrelation matrix and the cross-correlation vector to obtain the adaptive weight vector; The time delay correction signal is weighted according to the adaptive weight vector to obtain an amplitude-phase equalization signal; The formula for calculating the adaptive weight vector is as follows: ； In the formula, For adaptive weight vectors, The autocorrelation matrix is... It is a cross-correlation vector.

7. The method according to claim 1, characterized in that, The method further includes the following steps: The joint data matrix is ​​obtained by merging and expanding the space-time data matrix of the first radar signal and the time delay correction signal. Based on the joint data matrix, training units that are spatially and temporally adjacent are selected and statistically averaged to obtain the joint covariance matrix. The space-time steering vector is determined based on the time-domain steering vector and the space-domain steering vector of the main radar; Based on the generalized minimum variance criterion, the space-time filter weight vector is determined according to the joint covariance matrix and the space-time steering vector. The first target signal is subjected to clutter suppression based on the space-time filter weight vector to obtain the second target signal.

8. A distributed radar anti-main lobe interference system, characterized in that, The system is applied to the main radar of a distributed radar system, which includes a main radar and an auxiliary radar. The system includes: A signal receiving module is used to acquire a first radar signal and a second radar signal, wherein the first radar signal is a radar signal received by the main radar and the second radar signal is a radar signal received by the auxiliary radar. An envelope alignment module is used to perform envelope alignment processing on the second radar signal to obtain a time delay correction signal; The amplitude and phase compensation module is used to perform amplitude and phase compensation processing on the time delay correction signal to obtain an amplitude and phase equalization signal; The signal cancellation module is used to perform signal cancellation processing based on the first radar signal and the amplitude-phase equalization signal to obtain the first target signal.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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