Accelerated moving target azimuth multi-channel sar reconstruction method and readable storage medium

Abstract

The present disclosure relates to an accelerated moving target azimuth multichannel SAR reconstruction method and a computer readable storage medium, the method comprising: extracting an azimuth echo signal from a received SAR echo signal; performing range direction pulse compression on the echo signal to obtain an echo signal suitable for azimuth multichannel signal reconstruction; performing azimuth time domain zero padding and azimuth Fourier transform operation on the signal of a sub-aperture; and performing azimuth multichannel reconstruction. Through the embodiments of the present disclosure, the problem that the image cannot be focused and is severely offset due to the fact that the acceleration of the moving target is not considered in the conventional azimuth multichannel SAR signal reconstruction method is effectively solved.

Description

Technical Field

[0001] This disclosure relates to a synthetic aperture radar signal processing method for high-resolution wide-span imaging of the ground in the field of microwave remote sensing, specifically to an accelerated azimuth multi-channel SAR reconstruction method for moving targets and a computer-readable storage medium. Background Technology

[0002] Current technologies for analyzing moving targets assume that the target is moving at a constant velocity in the range and azimuth directions, neglecting the fact that the range and azimuth signal models of moving targets with acceleration are completely different from those of stationary targets. In reality, the motion of moving targets is extremely complex. Even a small radial acceleration can lead to serious imaging errors. To obtain good imaging, acceleration analysis of moving targets cannot be ignored. Summary of the Invention

[0003] This disclosure aims to provide a method for accelerating the reconstruction of azimuth multi-channel SAR of moving targets and a computer-readable storage medium, effectively solving the problem of image defocusing and severe offset caused by the failure to consider the acceleration of moving targets in traditional azimuth multi-channel SAR signal reconstruction methods.

[0004] According to one of the solutions disclosed herein, a method for accelerating multi-channel SAR reconstruction of the azimuth of moving targets is provided, comprising:

[0005] Extract the azimuth echo signal from the received SAR echo signal;

[0006] Range pulse compression is performed on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction;

[0007] Perform azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal;

[0008] Perform directional multi-channel reconstruction.

[0009] In some embodiments, extracting the azimuth echo signal from the received SAR echo signal includes:

[0010] Based at least on the slant distance between the satellite launch center and the moving target, and the slant distance between the satellite receiving echo channels and the moving target, the azimuth echo signal is extracted from the echo data of the moving target received by N channels.

[0011] In some embodiments, range pulse compression of the echo signal includes:

[0012] Acquire the azimuth echo signal after range compression;

[0013] A directional multi-channel echo signal was obtained.

[0014] In some embodiments, performing azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal includes:

[0015] Given the acceleration and velocity, the moving target is reconstructed using a multi-channel orientation method.

[0016] In some embodiments, the azimuth multi-channel reconstruction processing of the moving target includes:

[0017] Zeros are padded after each azimuth sampling point of the echo signal, and an azimuth-to-Fourier transform is performed.

[0018] The transfer function matrix is ​​obtained based on the zero-padded echo signal.

[0019] In some embodiments, the transfer function matrix is ​​obtained based on the zero-padded echo signal, including:

[0020] The matrix form of the zero-padded echo signal is obtained;

[0021] Obtain the vector formed by the signals from each channel;

[0022] Generate the transfer function matrix.

[0023] In some embodiments, azimuth multi-channel reconstruction includes:

[0024] Based on the transfer function matrix, the reconstruction filter is obtained;

[0025] Multi-channel reconstruction of the azimuth of an accelerating moving target is completed based on the optimal reconstruction filter.

[0026] In some embodiments, the process of obtaining the reconstruction filter based on the transfer function matrix includes:

[0027] The elements in the transfer function matrix are determined based at least on the phase center spacing of the receiving sub-apertures;

[0028] Set up a multi-channel reconstruction matrix to reconstruct multi-channel signals into equivalent single-channel signals.

[0029] In some embodiments, the multi-channel reconstruction of the azimuth of an accelerated moving target based on an optimal reconstruction filter includes:

[0030] Invert the transfer function matrix;

[0031] The optimal reconstruction filter is obtained to complete the multi-channel reconstruction.

[0032] According to one of the solutions of this disclosure, a computer-readable storage medium is provided, having stored thereon computer-executable instructions, which, when executed by a processor, implement:

[0033] Based on the above-mentioned method for reconstructing the azimuth of accelerated moving targets using multi-channel SAR.

[0034] The present disclosure provides various embodiments of an azimuth multi-channel SAR reconstruction method for accelerated moving targets and a computer-readable storage medium. At least the azimuth echo signal is extracted from the received SAR echo signal; range pulse compression is performed on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction; azimuth time-domain zero-padding and azimuth Fourier transform operations are performed on the sub-aperture signal; and azimuth multi-channel reconstruction is performed. This method primarily addresses the imaging problem of accelerated moving targets, further improving target focusing capability by employing azimuth multi-channel reconstruction. By performing azimuth multi-channel reconstruction on accelerated moving targets, an equivalent single-channel signal suitable for traditional imaging processing is obtained, effectively solving the problem of image defocusing and severe offset caused by the failure to consider the acceleration of moving targets in traditional azimuth multi-channel SAR signal reconstruction methods. The embodiments of the present disclosure, through the azimuth multi-channel SAR reconstruction method for accelerated moving targets, can achieve clear imaging of accelerated moving targets, improving image quality and overcoming the shortcomings of previous analyses that assumed the target was moving at a constant speed in the azimuth and range directions and ignored the influence of acceleration, resulting in severe defocusing and offset in imaging.

[0035] It should be understood that the foregoing general description and the following detailed description are exemplary and illustrative only, and are not intended to limit the scope of this disclosure. Attached Figure Description

[0036] In drawings that are not necessarily drawn to scale, similar reference numerals in different views may indicate similar components. Similar reference numerals with letter suffixes or similar reference numerals with different letter suffixes may indicate different instances of similar components. The drawings are generally used to illustrate various embodiments by way of example rather than limitation, and are used together with the specification and claims to explain the disclosed embodiments.

[0037] Figure 1 A flowchart of an accelerated moving target azimuth multi-channel SAR reconstruction method according to an embodiment of the present disclosure is shown;

[0038] Figure 2 A geometric model for imaging moving targets using front-side-looking spaceborne SAR acceleration, according to an embodiment of this disclosure, is shown. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.

[0040] Synthetic Aperture Radar (SAR) is an imaging radar mounted on a moving platform. Compared to airborne SAR, spaceborne SAR has a higher platform altitude, enabling it to cover a wider swath and provide wide-swath imaging of the Earth's surface around the clock and in all weather conditions. With the development of radar technology, SAR has made substantial breakthroughs in both military and civilian fields, primarily for the detection and imaging of moving targets on the ground. However, many important applications require extremely high imaging quality, always aiming to detect moving targets and estimate their parameters as accurately as possible to achieve focused imaging. Therefore, the detection and imaging of moving targets has always been a hot topic in radar academia.

[0041] Resolution and mapping bandwidth are two crucial performance indicators for spaceborne SAR systems. Constrained by the minimum antenna area requirement, traditional spaceborne SAR methods struggle to simultaneously achieve high-resolution, wide-bandgap imaging. Azimuth multichannel technology is an effective solution to this problem. Azimuth multichannel spaceborne SAR utilizes multiple receiving channels to simultaneously receive echoes, thereby increasing the equivalent sampling rate and thus enhancing Doppler bandwidth to improve azimuth resolution and enhance the SAR system's Earth observation performance. High-resolution, wide-swath imaging of accelerating moving targets plays a vital role in detecting vehicles and ships at sea during transportation operations.

[0042] Unlike stationary and moving targets, accelerated targets exhibit uncertainties in their motion and maneuverability, rendering traditional target imaging algorithms ineffective and preventing SAR from acquiring parameter information for moving targets. Furthermore, the complex motion of ground-based accelerated targets, characterized by large radial velocities and accelerations, can lead to defocusing, offset, and other problems in the focusing results, making it impossible to obtain high-resolution focused images and severely impacting image quality.

[0043] In conjunction with the preceding background section, this disclosure provides illustrative examples of solutions to address the deficiencies in the prior art, but these are not intended to limit the scope of patent protection claimed in this disclosure.

[0044] As one of the solutions, such as Figure 1 As shown, embodiments of this disclosure provide a method for accelerating multi-channel SAR reconstruction of the azimuth of moving targets, including:

[0045] S100: Extract the azimuth echo signal from the received SAR echo signal;

[0046] S200: Range pulse compression is performed on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction;

[0047] S300: Performs azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal;

[0048] S400: Perform azimuth multi-channel reconstruction.

[0049] To address the problems mentioned above, the embodiments of this disclosure provide a method for azimuth multi-channel SAR reconstruction of accelerated moving targets, which effectively solves the problem of image defocusing and severe offset caused by the failure to consider the acceleration of moving targets in traditional azimuth multi-channel SAR signal reconstruction methods. One of the main inventive concepts of this disclosure is to obtain an equivalent single-channel signal suitable for traditional imaging processing by performing azimuth multi-channel reconstruction processing on accelerated moving targets. First, the azimuth echo signal is extracted from the received SAR echo signal; second, the echo signal is subjected to range pulse compression to obtain an echo signal suitable for azimuth multi-channel signal reconstruction; then, azimuth time-domain zero-padding and azimuth Fourier transform operations are performed on the sub-aperture signal; next, azimuth multi-channel reconstruction is performed to obtain the optimal reconstruction filter to complete the azimuth multi-channel reconstruction of accelerated moving targets. Through the embodiments of this disclosure, clear imaging of accelerated moving targets can be achieved, improving image quality and solving the shortcomings of previous methods that assumed the target was moving at a constant speed in the azimuth and range directions and ignored the influence of acceleration, resulting in severe defocusing and offset in imaging.

[0050] In some implementations, the method of this disclosure may include: extracting the azimuth echo signal from the received SAR echo signal, comprising:

[0051] Based at least on the slant distance between the satellite launch center and the moving target, and the slant distance between the satellite receiving echo channels and the moving target, the azimuth echo signal is extracted from the echo data of the moving target received by N channels.

[0052] For example, refer to Figure 2 This invention illustrates a geometric model for imaging a moving target using front-side-looking spaceborne SAR with acceleration according to an embodiment of the present disclosure. The method for reconstructing the azimuth of an accelerating moving target using multi-channel SAR in various embodiments of the present disclosure is illustrated using step S1 as an example.

[0053] Step S1: The azimuth multi-channel SAR includes N channels. The azimuth echo signal s is extracted from the echo data of moving targets received from the N channels. m,n (τ,t) is represented as:

[0054]

[0055] Among them, R T (t) represents the slant distance between the satellite launch center and the moving target, R n (t) represents the slant distance between the channel and the moving target when the satellite receives the echo.

[0056] In some implementations, the method of this disclosure may include: performing range pulse compression on the echo signal, including:

[0057] Acquire the azimuth echo signal after range compression;

[0058] A directional multi-channel echo signal was obtained.

[0059] For example, the accelerated moving target azimuth multi-channel SAR reconstruction method of various embodiments of this disclosure can further include step S2 on the basis of the aforementioned step S1: performing range pulse compression processing on the received azimuth echo signal to achieve range imaging, the specific steps are as follows.

[0060] Step S21: Obtain the range-compressed azimuth echo signal s m,n (t) can be represented as:

[0061]

[0062] Among them, v s The satellite moves along its trajectory at a speed of [speed value missing]. The antenna is divided into N sub-apertures along this trajectory. All channels receive echo signals, while the central channel transmits signals and receives echo signals. Δx n This represents the distance between the nth receiving channel and the center of the transmitting phase. x U represents the velocity along the trajectory. y a represents radial velocity. x a represents the acceleration in the direction of the trajectory. y R0 represents the radial acceleration. R0 represents the shortest distance from the receiving phase center to the moving target in the image, and t represents the azimuth time.

[0063] Step S22: Azimuth multi-channel echo signal s m,n (t) can be rewritten as:

[0064]

[0065] in

[0066]

[0067]

[0068]

[0069] In some implementations, the method of this disclosure may include: performing azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal, including:

[0070] Given the acceleration and velocity, the moving target is reconstructed using a multi-channel orientation method.

[0071] In some implementations, the method of this disclosure may include: performing azimuth multi-channel reconstruction processing on a moving target, including:

[0072] Zeros are padded after each azimuth sampling point of the echo signal, and an azimuth-to-Fourier transform is performed.

[0073] The transfer function matrix is ​​obtained based on the zero-padded echo signal.

[0074] In some implementations, the method of this disclosure may include: obtaining a transfer function matrix based on the zero-padded echo signal, including:

[0075] The matrix form of the zero-padded echo signal is obtained;

[0076] Obtain the vector formed by the signals from each channel;

[0077] Generate the transfer function matrix.

[0078] For example, the accelerated moving target azimuth multi-channel SAR reconstruction method of various embodiments of this disclosure can further include step S3 on the basis of the aforementioned step S2: under the premise of known acceleration and velocity, perform azimuth multi-channel reconstruction processing on the moving target, and the specific processing steps are as follows:

[0079] Step S31: Pad (N-1) zeros after each azimuth sampling point of the echo signal and perform an azimuth-to-Fourier transform:

[0080] S m,n (f a ) = FT(s m,n (t)) (7)

[0081] Step S32: The zero-padded echo signal is further written in matrix form:

[0082] S m,n (f a ) = S m (f a )·H m (f a (8)

[0083] Step S33: The vector S formed by the signals from each channel m,n (f a)for:

[0084] S m,n (f a )=[S m,1 (f a ),…,S m,n (f a ),…,S m,N (f a )] T (9)

[0085] S m (f a )=[S m (f a ),…,S m (f a +(n-1)·PRF),…,S m (f a +(N-1)·PRF)] T (10)

[0086] Where f a is the radar sampling frequency, and PRF is the pulse repetition frequency.

[0087] Step S34: Generating the transfer function matrix H m (f a ):

[0088]

[0089] In some implementations, the method of this disclosure can be: performing azimuth multi-channel reconstruction, including:

[0090] Based on the transfer function matrix, the reconstruction filter is obtained;

[0091] Multi-channel reconstruction of the azimuth of an accelerating moving target is completed based on the optimal reconstruction filter.

[0092] In some implementations, the method of this disclosure may be: obtaining a reconstruction filter based on the transfer function matrix, including:

[0093] The elements in the transfer function matrix are determined based at least on the phase center spacing of the receiving sub-apertures;

[0094] Set up a multi-channel reconstruction matrix to reconstruct multi-channel signals into equivalent single-channel signals.

[0095] In some implementations, the method of this disclosure can be: performing multi-channel reconstruction of the azimuth of an accelerating moving target based on an optimal reconstruction filter, including:

[0096] Invert the transfer function matrix;

[0097] The optimal reconstruction filter is obtained to complete the multi-channel reconstruction.

[0098] For example, the accelerated moving target azimuth multi-channel SAR reconstruction method of various embodiments of this disclosure can further include step S4 on the basis of the aforementioned step S3:

[0099] The reconstruction filter is generated, and the steps for generating the reconstruction filter are as follows:

[0100] Step S41: Transfer function H m (f a The element H in the nth row and nth column of ) N (f a The following formula is used to derive:

[0101]

[0102] In the formula Δx n =((N+1) / 2-n)·d az d az The phase center spacing of the receiving sub-aperture.

[0103] Step S42: In order to completely reconstruct For the spectrum within the range, a multi-channel reconstruction matrix P(f) needs to be set. a The multi-channel signal is reconstructed into an equivalent single-channel signal. The relationship between the multi-channel signal and the equivalent single-channel signal is as follows:

[0104]

[0105] Step S43: For the transfer function matrix H m (f a Inverting the matrix yields the reconstructed filter matrix P(f). a ):

[0106] P(f a )=H m -1 (f a (14)

[0107] Step S44: According to equation (14), we can obtain:

[0108]

[0109] After the above steps, the optimal reconstruction filter is obtained, and multi-channel reconstruction is completed.

[0110] Compared with existing methods, the azimuth multi-channel SAR reconstruction method for accelerated moving targets in the embodiments of this disclosure obtains an equivalent single-channel signal that can be processed by traditional imaging by performing azimuth multi-channel reconstruction on the moving target with acceleration. This provides clear imaging of the accelerated moving target, improves image quality, and solves the shortcomings of previous methods that assumed the target was moving at a constant speed in the azimuth and range directions and ignored the effect of acceleration, resulting in severe defocusing and offset in the imaging.

[0111] As one solution, embodiments of this disclosure provide an accelerated multi-channel SAR reconstruction device for the azimuth of moving targets, including one or more processing modules configured as follows:

[0112] Extract the azimuth echo signal from the received SAR echo signal;

[0113] Range pulse compression is performed on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction;

[0114] Perform azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal;

[0115] Perform directional multi-channel reconstruction.

[0116] As one implementation, one or more processing modules of this disclosure are further configured to: extract azimuth echo signals from the received SAR echo signals, including:

[0117] Based at least on the slant distance between the satellite launch center and the moving target, and the slant distance between the satellite receiving echo channels and the moving target, the azimuth echo signal is extracted from the echo data of the moving target received by N channels.

[0118] As one implementation, one or more processing modules of this disclosure are further configured to: perform range-direction pulse compression on the echo signal, including:

[0119] Acquire the azimuth echo signal after range compression;

[0120] A directional multi-channel echo signal was obtained.

[0121] As one implementation, one or more processing modules of this disclosure are further configured to: perform azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal, including:

[0122] Given the acceleration and velocity, the moving target is reconstructed using a multi-channel orientation method.

[0123] As one implementation method, one or more processing modules of this disclosure are further configured to: perform azimuth multi-channel reconstruction processing on the moving target, including:

[0124] Zeros are padded after each azimuth sampling point of the echo signal, and an azimuth-to-Fourier transform is performed.

[0125] The transfer function matrix is ​​obtained based on the zero-padded echo signal.

[0126] As one implementation, one or more processing modules of this disclosure are further configured to: obtain a transfer function matrix based on the zero-padded echo signal, including:

[0127] The matrix form of the zero-padded echo signal is obtained;

[0128] Obtain the vector formed by the signals from each channel;

[0129] Generate the transfer function matrix.

[0130] As one implementation method, one or more processing modules of this disclosure are further configured to: perform azimuth multi-channel reconstruction, including:

[0131] Based on the transfer function matrix, the reconstruction filter is obtained;

[0132] Multi-channel reconstruction of the azimuth of an accelerating moving target is completed based on the optimal reconstruction filter.

[0133] As one implementation, one or more processing modules of this disclosure are further configured to: obtain a reconstruction filter, including:

[0134] The elements in the transfer function matrix are determined based at least on the phase center spacing of the receiving sub-apertures;

[0135] Set up a multi-channel reconstruction matrix to reconstruct multi-channel signals into equivalent single-channel signals.

[0136] As one implementation, one or more processing modules of this disclosure are further configured to: perform multi-channel reconstruction of the azimuth of an accelerated moving target based on an optimal reconstruction filter, including:

[0137] Invert the transfer function matrix;

[0138] The optimal reconstruction filter is obtained to complete the multi-channel reconstruction.

[0139] In some specific implementations, one or more processing modules of this disclosure are configured to perform specific implementations of steps S1 to S4 described above.

[0140] Specifically, one of the inventive concepts of this disclosure aims to extract the azimuth echo signal from the received SAR echo signal; perform range pulse compression on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction; perform azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal; and perform azimuth multi-channel reconstruction. This method primarily addresses the imaging problem of accelerated moving targets, further improving target focusing capability by employing azimuth multi-channel reconstruction. By performing azimuth multi-channel reconstruction processing on accelerated moving targets, an equivalent single-channel signal suitable for traditional imaging processing is obtained, effectively solving the problem of image defocusing and severe offset caused by the failure to consider the acceleration of moving targets in traditional azimuth multi-channel SAR signal reconstruction methods. The embodiments of this disclosure, through the azimuth multi-channel SAR reconstruction method for accelerated moving targets, can achieve clear imaging of accelerated moving targets, improving image quality and overcoming the shortcomings of previous analyses that assumed the target moved at a constant speed in the azimuth and range directions, ignoring the influence of acceleration, resulting in severe defocusing and offset in imaging.

[0141] This disclosure also provides a computer-readable storage medium storing computer-executable instructions thereon. When executed by a processor, the computer-executable instructions mainly implement the above-described method for reconstructing the azimuth of an accelerated moving target using multi-channel SAR, including at least:

[0142] Extract the azimuth echo signal from the received SAR echo signal;

[0143] Range pulse compression is performed on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction;

[0144] Perform azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal;

[0145] Perform directional multi-channel reconstruction.

[0146] The above embodiments are merely exemplary embodiments of this disclosure and are not intended to limit this disclosure. The scope of protection of this disclosure is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this disclosure within its substance and scope, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this disclosure.

Claims

1. An accelerated method for multi-channel SAR reconstruction of the azimuth of moving targets, including: Extract the azimuth echo signal from the received SAR echo signal; Range pulse compression is performed on the echo signal to obtain an echo signal suitable for azimuth multi-channel signal reconstruction; Perform azimuth time-domain zero-padding and azimuth Fourier transform operations on the sub-aperture signal; Perform directional multi-channel reconstruction; in: Range-compressed azimuth echo signal Represented as: ， in, The satellite moves at a speed along its trajectory, dividing the entire antenna into sections along that trajectory. The aperture is small, all channels receive the echo signal, and the middle channel transmits the signal and receives the echo signal. Indicates the first The distance between each receiving channel and the center of the transmitting phase; Indicates the velocity in the direction of the flight path. Indicates radial velocity, Indicates the acceleration in the direction of the trajectory. Indicates radial acceleration; This represents the shortest distance from the receiving phase center to the imaged moving target. Indicates location and time; The sub-aperture signal undergoes azimuth time-domain zero-padding and azimuth Fourier transform operations, including: Given the acceleration and velocity, perform orientation-based multi-channel reconstruction of the moving target; The moving target undergoes azimuth multi-channel reconstruction processing, including: Zeros are padded after each azimuth sampling point of the echo signal, and an azimuth-to-Fourier transform is performed. Based on the zero-padded echo signal, the transfer function matrix is ​​obtained; Based on the zero-padded echo signal, the transfer function matrix is ​​obtained, including: The matrix form of the zero-padded echo signal is obtained; Obtain the vector formed by the signals from each channel; Generate the transfer function matrix; Perform azimuth multi-channel reconstruction, including: Based on the transfer function matrix, the reconstruction filter is obtained; Multi-channel reconstruction of the azimuth of an accelerating moving target is completed based on the optimal reconstruction filter; Based on the transfer function matrix, the reconstruction filter is obtained, including: The elements in the transfer function matrix are determined based at least on the phase center spacing of the receiving sub-apertures; Set up a multi-channel reconstruction matrix to reconstruct multi-channel signals into equivalent single-channel signals; Multi-channel reconstruction of the azimuth of an accelerating moving target is achieved based on the optimal reconstruction filter, including: Invert the transfer function matrix; The optimal reconstruction filter is obtained to complete the multi-channel reconstruction.

2. The method according to claim 1, wherein, Extracting the azimuth echo signal from the received SAR echo signal includes: At least based on the slant range between the satellite launch center and the moving target, and the slant range between the satellite's receiving echo channel and the moving target, for N The azimuth echo signal is extracted from the echo data of the moving target received by each channel.

3. The method according to claim 2, wherein, Range pulse compression of the echo signal includes: Acquire the azimuth echo signal after range compression; A directional multi-channel echo signal was obtained.

4. A computer-readable storage medium having stored thereon computer-executable instructions, which, when executed by a processor, implement: The method for accelerating the azimuth multi-channel SAR reconstruction of moving targets according to any one of claims 1 to 3.

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