A method and apparatus for target radar cross section reduction

Abstract

The application discloses a target radar scattering suppression method and device, relates to the technical field of radar stealth, and is used for accurately and effectively realizing control on the radar scattering characteristics of a target. A SAR image of the target is acquired; attribute scattering centers of the SAR image are extracted; the positions and structures of strong scattering sources of the target are coarsely estimated based on the attribute scattering centers; the positions and structures of the strong scattering sources are finely estimated based on the coarse estimation result and in combination with radar parameters; and the strong scattering sources are suppressed according to the positions and structures of the strong scattering sources in the fine estimation. The application can accurately determine the strong scattering sources of the target, thereby helping to improve the survival capability of the target under high-resolution radar detection.

Description

Technical Field

[0001] This invention relates to the field of radar stealth technology, and in particular to a method and apparatus for suppressing target radar scattering. Background Technology

[0002] Controlling the radar scattering characteristics of targets in complex environments (such as vehicles on land and ships at sea) is crucial for achieving target stealth under radar detection. The main methods involve suppressing the strong scattering characteristics of targets like ships through shaping and coating techniques. This reduces the overall RCS (Radar Cross Section), suppresses strong scattering source features in high-resolution radar images, and lowers the signal-to-noise ratio, thereby reducing the probability of detection and identification and improving the survivability of targets in complex environments. Therefore, research on radar scattering characteristic control methods for targets in complex environments is of significant importance for improving the survivability of targets under high-resolution radar detection. While numerous research schemes exist for target radar detection, a systematic and feasible scheme for target radar scattering suppression has yet to be found. Summary of the Invention

[0003] The purpose of this invention is to provide a target radar scattering suppression method and apparatus to address all or part of the problems mentioned above, for accurately and effectively controlling the radar scattering characteristics of a target.

[0004] The technical solution adopted in this invention is as follows: A target radar scattering suppression method, comprising: Acquire SAR (Synthetic aperture radar) images of the target; Extract the attribute scattering center of the SAR image, and make a coarse estimate of the location and structure of the strong scattering source of the target based on the attribute scattering center; Based on the coarse estimation results, the location and structure of the strong scattering source are precisely estimated by combining radar parameters. Strong scattering source suppression is performed based on the precisely estimated location and structure of the strong scattering source.

[0005] Furthermore, acquiring SAR images of the target includes: Based on the target's three-dimensional digital geometric information, the spatial distribution information of the target's scattered field is calculated using a hybrid algorithm of geometrical optics and physical optics (GO / PO). Based on the SAR imaging principle, radar echo simulation is performed using the spatial distribution information of the scattered field. The simulated radar echo was imaged using the back projection (BP) algorithm to obtain the SAR image.

[0006] Furthermore, the attribute scattering center of the SAR image is extracted, including: The SAR image is preprocessed to obtain the original frequency domain echo data; Based on the original frequency domain echo data, the azimuth physical coordinates X and range physical coordinates Y of the attribute scattering center are initialized respectively to generate an atomic dictionary, and a coarse estimation is performed using the Orthogonal Matching Pursuit (OMP) algorithm; Based on the coarse estimates of X and Y, initialize the azimuth spread distance L and azimuth angle of the attribute scattering center. A dictionary of atoms is generated, and a coarse estimate is performed using the OMP algorithm. For the coarse estimates of X, Y, L and Interpolation is performed to generate an atomic dictionary, and the OMP algorithm is used for estimation. The type of attribute scattering center is determined based on the estimated L; the amplitude A and frequency dependence factor of the attribute scattering center are discretized sequentially. and direction dependency parameters The OMP algorithm is used to estimate the scattering center based on its type. Based on the estimated X, Y, L, A and Radar echo reconstruction is performed, and the reconstructed signal is transformed into the image domain to obtain the attribute scattering center.

[0007] Furthermore, the estimation process of the OMP algorithm used includes: Obtain the atomic dictionary D, the raw frequency domain echo data s, and the termination threshold. ; Initialize the scattered echo residual vector Reconstructed signal Atomic index set Iteration counter Energy gain ; The iteration begins, based on the atomic dictionary D and the residual vector of the scattered echo. The inner product is evaluated for its relevance C; Locate the atom with the highest inner product similarity in the relevance C, and calculate the inner product similarity of that atom. Write to atomic index set In this context, k represents the iteration round; The amplitude approximation of the atom and the original frequency domain echo data s was calculated using the least squares method. ; Based on the amplitude approximation Estimate the reconstructed signal ; Based on the original frequency domain echo data s and the reconstructed signal Update the scattered echo residual vector ; Based on the original frequency domain echo data s and the reconstructed signal Update the scattering atom energy percentage for this iteration. ; Determine the energy percentage of the scattering atoms Has the change fallen to the termination threshold? If not, proceed to the next iteration; if yes, terminate the iteration.

[0008] Furthermore, based on the coarse estimation results, and combined with radar parameters, a fine estimation of the location and structure of the strong scattering source is performed, including: Based on the range gate number and azimuth number of the roughly estimated strong scattering source in the SAR image, calculate the alternative locations of the strong scattering source on the target entity. The locations that are the same as the structure of the roughly estimated strong scattering source are selected from the candidate locations.

[0009] Furthermore, based on the precisely estimated location and structure of the strong scattering source, strong scattering source suppression is performed, including: Based on the precisely estimated location and structure of the strong scattering source, the strong scattering source is suppressed by structural deformation or structural coating.

[0010] Furthermore, methods for structurally deforming strong scattering sources include: For strong scattering sources with dihedral or trihedral scattering structures, change the tilt angle of the structure and / or change the angle between the surfaces.

[0011] Further methods for suppressing strong scattering sources include: Suppress strong scattering sources; Compare the similarity between the SAR image of the target after strong scattering source suppression and the original SAR image, as well as the difference in radar cross section (RCS) intensity. If the comparison results all meet the predetermined requirements, then strong scattering source suppression is stopped; otherwise, strong scattering source suppression is performed again; this process is repeated until the predetermined requirements are met.

[0012] Furthermore, based on the attribute scattering center, a coarse estimate is made of the location and structure of the target strong scattering source, including: Based on the set scattering intensity threshold, points that reach the scattering intensity threshold are determined from the SAR image, and the location and structure of the points are determined by the attribute scattering center.

[0013] The present invention also provides a target radar scattering suppression device, which includes a processor and a storage medium, wherein the storage medium stores a computer program, and the processor runs the computer program to perform the target radar scattering suppression method described above.

[0014] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: The target radar scattering suppression method proposed in this application firstly conducts SAR image simulation of the target environment (such as vehicles, ships, etc.) by combining electromagnetic scattering models and SAR working principles, significantly saving economic and time costs compared to experimental methods. Furthermore, based on the SAR image, attribute scattering centers are extracted. Based on these attribute scattering centers, the location and structure corresponding to strong scattering sources are initially determined. The location and structure are used to jointly identify the strong scattering source, and then, combined with radar parameters, the location and structure corresponding to the strong scattering source are accurately determined. Finally, combining the scattering mechanism, strong scattering sources are suppressed through structure shaping techniques or coating methods, achieving control of the target's radar scattering characteristics. This method can accurately identify the strong scattering sources of a target, thereby helping to improve the target's survivability under high-resolution radar detection. Attached Figure Description

[0015] The present invention will be described by way of example and with reference to the accompanying drawings, wherein: Figure 1 This is a flowchart of a target radar scattering suppression method in one embodiment.

[0016] Figure 2 This is a flowchart of the OMP algorithm estimation process for extracting attribute scattering centers.

[0017] Figure 3 This is a flowchart of a method for suppressing strong scattering sources.

[0018] Figure 4 This is the original SAR image from an embodiment targeting a ship.

[0019] Figure 5 It corresponds Figure 4 A schematic diagram of the strong scattering source identified in the embodiments.

[0020] Figure 6 It is a SAR image of a ship after suppression by a strong scattering source. Detailed Implementation

[0021] All features disclosed in this specification, or all steps in all disclosed methods or processes, may be combined in any way, except for mutually exclusive features and / or steps.

[0022] Any feature disclosed in this specification (including any appended claims and abstract) may be replaced by other equivalent or similar features, unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is merely one example of a series of equivalent or similar features.

[0023] Most existing SAR image studies focus on target detection and identification, without finding a systematic and feasible solution for target radar scattering suppression. To improve the survivability of targets in complex environments under high-resolution radar attack, there is a need for control of the radar scattering characteristics of targets in complex environments. To address this need, this application proposes a target radar scattering suppression method and apparatus, aiming to accurately and effectively control the radar scattering characteristics of targets.

[0024] like Figure 1 As shown, the target radar scattering suppression method proposed in this application includes the following steps: S1. Acquire the SAR image of the target.

[0025] In one alternative implementation, this embodiment combines the working principle of electromagnetic scattering model and SAR imaging. Given the location of the radar and the target, as well as the three-dimensional digital geometric information of the target, it uses simulation to obtain the SAR image of the target, thereby significantly saving economic and time costs.

[0026] Specifically, step S1 includes the following sub-steps: S11. Based on the target's three-dimensional digital geometric information, calculate the spatial distribution information of the target's scattering field using the GO / PO algorithm.

[0027] S12. Based on the SAR imaging principle, radar echo simulation is performed based on the spatial distribution information of the target's scattering field.

[0028] S13. Use the back projection (BP) algorithm to perform SAR imaging on the simulated radar echo to obtain the SAR image of the target.

[0029] In specific implementation scenarios, SAR images of the target can also be obtained through experiments (field detection).

[0030] S2. Extract the attribute scattering center of the SAR image, and make a coarse estimate of the location and structure of the strong scattering source of the target based on the attribute scattering center.

[0031] The Attributed Scattering Center (ASC) encompasses various attribute information of the target, including spatial, type, and structural aspects. As an optional implementation, step S2 includes the following sub-steps: sub-steps S21-S26 are used to extract the attributed scattering centers from the SAR image, and sub-step S27 is used to perform a coarse estimation of the location and structure of strong scattering sources.

[0032] S21. Preprocess the SAR image to obtain the original frequency domain echo data.

[0033] S22. Based on the original frequency domain echo data, initialize the azimuth physical coordinates X and range physical coordinates Y of the attribute scattering center respectively, generate an atomic dictionary, and use the orthogonal matching pursuit (OMP) algorithm for coarse estimation.

[0034] S23. Based on the coarse estimates of X and Y, initialize the azimuth spread distance L and azimuth angle of the attribute scattering center. An atomic dictionary is generated, and a coarse estimate is performed using the OMP algorithm.

[0035] S24. For the coarse estimates of X, Y, L, and Interpolation is performed to generate an atomic dictionary, and the OMP algorithm is used for estimation.

[0036] S25. Determine the type of attribute scattering center based on the estimated L. For example, if L=0, classify the attribute scattering center as local; if L>0, classify it as distributed. Discretize the amplitude A and frequency dependence factor of the attribute scattering center sequentially. and direction dependency parameters The OMP algorithm is used to estimate the type of attribute scattering center.

[0037] S26. Based on the estimated X, Y, L, A and Radar echo reconstruction is performed using the parameter set of the attribute scattering center. The reconstructed signal is then transformed (through a two-dimensional Fourier transform) to the image domain to obtain the reconstructed image of the attribute scattering center. The method of reconstructing radar echoes based on the parameter set is common knowledge, and this embodiment does not include any special design for it.

[0038] The OMP algorithm is used in all sub-steps of the attribute scattering center estimation. As an efficient greedy algorithm, the OMP algorithm has low computational complexity and good asymptotic convergence characteristics. Its core mechanism is: in each iteration, the most relevant atom in the atom dictionary (i.e., dictionary matrix) D is identified, and the contribution of the selected atom in the scattering signal is eliminated by the least squares method. This process is repeated until the preset stopping criterion is met.

[0039] As an optional implementation method, such as Figure 2 As shown, the estimation process of this OMP algorithm includes: Obtain the atomic dictionary D, the raw frequency domain echo data s, and the termination threshold. At the algorithmic level, the atomic dictionary D, the original frequency domain echo data s, and the termination threshold... That is, as input parameters.

[0040] Step 1: Initialize the scattered echo residual vector Reconstructed signal Atomic index set (Empty set), Iteration counter Energy gain .

[0041] Step 2: Based on the atomic dictionary D and the residual vector of the scattered echo The inner product is evaluated for correlation C. Step 2 is the initial step of each iteration.

[0042] Equation (1): .

[0043] Step 3: Locate the atom with the highest inner product similarity in the correlation C, and calculate the inner product similarity of that atom. Write to atomic index set middle.

[0044] Equation (2): ; In the formula, i is the atomic index and k represents the iteration round.

[0045] Step 4: Use the least squares method to calculate the approximate amplitude values ​​of the located atom and the original frequency domain echo data s. .

[0046] Equation (3): .

[0047] In the formula, This indicates retrieving the first element from the atomic dictionary D. List; This indicates a pseudo-inverse operation.

[0048] Step 5: Approximate amplitude value Estimating the reconstructed signal .

[0049] Equation (4): .

[0050] Step 6: Based on the original frequency domain echo data s and the reconstructed signal Update the scattered echo residual vector .

[0051] Equation (5): .

[0052] Step 7: Based on the original frequency domain echo data s and the reconstructed signal Update the scattering atom energy percentage for this iteration. .

[0053] Equation (6): .

[0054] Step 8: Determine the energy percentage of the scattering atoms Change (i.e.) Has it been reduced to the termination threshold? If not, proceed to the next iteration; if yes, terminate the iteration. That is, determine... If the condition is true, then k = k + 1, and return to step 2 for the next iteration; otherwise, the algorithm terminates.

[0055] S27. Make a rough estimate of the location and structure of the strong scattering source of the target based on the attribute scattering center.

[0056] The attribute scattering center reflects the scattering intensity and structural type (such as dihedral, trihedral, cylindrical, cap, and cavity) at each point of the target. Based on the extracted attribute scattering center, the location and structure of the strong scattering source can be preliminarily estimated.

[0057] As an optional implementation, sub-step S27 includes: Based on a set scattering intensity threshold, points that reach the threshold are identified from the SAR image. The location and structure of these points (one or more) are determined by the attribute scattering center. The set scattering intensity threshold can be adjusted according to the needs of the scenario. For scenarios with strict stealth requirements, the scattering intensity threshold can be set relatively small (e.g., 1 / 10 to 1 / 100 of the maximum scattering intensity), estimating a larger number of points as strong scattering sources. For scenarios with less stringent stealth requirements, the scattering intensity threshold can be appropriately increased (e.g., 1 / 1000 to 1 / 5000 of the maximum scattering intensity), using only the most prominent few points as strong scattering sources. The above proportions are merely illustrative, and no specific scattering intensity threshold is limited in this application.

[0058] S3. Based on the coarse estimation results, the location and structure of the strong scattering source are precisely estimated by combining radar parameters.

[0059] Since the coarse estimation of strong scattering sources is performed in the two-dimensional dimension of SAR images, and a strong scattering source at a certain location in a SAR image may be the result of the combined effect of scattering sources at equal distances in different three-dimensional coordinates, in this embodiment, based on the coarse estimation of strong scattering sources, the specific location and structure of strong scattering sources are also accurately identified according to the relationship between three-dimensional geometric coordinates and image projection coordinates.

[0060] For each point on the SAR image, its distance R from the radar is expressed as: Equation (7): ; In the formula, Represents the three-dimensional coordinates of the radar; This indicates the coordinates of the target point in the SAR image.

[0061] In practical radar detection scenarios, for SAR imaging of a target, the range resolution is based on radar parameters. The pulse repetition interval PRI is completed. Determine the distance to the target point via the gate number. PRI determines the orientation number of the target point. .

[0062] Equation (8): ; Equation (9): ; In the formula, The minimum distance from all points of the target to the radar; Indicates the imaging start time. This indicates the moment when the target point is illuminated by the center of the radar beam.

[0063] Based on the SAR imaging principle and radar parameters described above, the precise location and structure of the strong scattering source can be obtained by inversion after a rough estimate of its location and structure.

[0064] As an optional implementation, step S3 includes the following sub-steps: S31. Based on the range gate number and azimuth number of the roughly estimated strong scattering source in the SAR image, calculate the alternative positions of the strong scattering source on the target entity.

[0065] Since the location of the strong scattering source is detected from the SAR image and has a mapping relationship with the spatial three-dimensional coordinates of the strong scattering source, but it is not a one-to-one correspondence, there may be multiple candidate locations calculated based on the location of the strong scattering source, or even locations not on the target body.

[0066] S32. Select locations from the candidate locations whose structures are the same as the roughly estimated strong scattering source.

[0067] The attribute scattering center reflects the structural type of each point on the target. After determining the candidate locations, the structural type of each candidate location is observed. The candidate location that meets the structural type of the strong scattering source detected in the coarse estimation is the precise location of the strong scattering source. In this way, the location and structural type of the strong scattering source are accurately located, and then targeted suppression can be carried out.

[0068] S4. Suppress strong scattering sources based on the precisely estimated location and structure of the strong scattering sources.

[0069] There are two ways to suppress strong scattering sources: one is deformation treatment, which involves changing the physical shape of the object, such as changing its angle or shape; the other is coating treatment, which involves coating the physical surface with a suitable coating material to absorb or deflect the incident electromagnetic waves (i.e., radar detection signals). Therefore, as an optional implementation method, step S4 can suppress strong scattering sources by structurally deforming or coating the strong scattering source based on the accurately estimated location and structure of the strong scattering source.

[0070] Taking the deformation processing of strong scattering sources as an example, based on the attribute scattering center of SAR images, for strong scattering sources with dihedral or trihedral scattering structures, the physical shape is optimized by changing the tilt angle of the structure and / or the angle between the surfaces. For suppression methods using coatings, the coating materials in existing technologies can be directly referenced.

[0071] Suppressing strong scattering sources is not always a one-step process; that is, a single physical deformation may not be sufficient to meet the scattering suppression requirements. Therefore, this application employs an iterative optimization approach for suppressing strong scattering sources.

[0072] like Figure 3 As shown, in one optional implementation, the method for suppressing strong scattering sources includes: S41. Suppress strong scattering sources.

[0073] Taking physical deformation as an example, this involves changing the physical structure of the strong scattering source, such as altering its tilt angle. The same principle applies to coating methods.

[0074] S42. Compare the similarity between the SAR image of the target after strong scattering source suppression and the original SAR image, as well as the difference in radar cross section (RCS) intensity.

[0075] by This represents the RCS (in dBsm) of the target after suppression. This represents the initial RCS of the target. RCS intensity difference. Represented as: Equation (10): .

[0076] The similarity between the SAR image of the target after strong scattering source suppression and the original SAR image is measured by NCC (Normalized Cross-Correlation), and is expressed as follows: Equation (11): ; In the formula, These represent the suppressed SAR image of the target and the original SAR image of the target, respectively. These represent the range coordinates and azimuth coordinates on the SAR image, respectively. They are respectively The mean RCS intensity; W is the SAR image range.

[0077] S43. If the comparison results all meet the predetermined requirements, then stop strong scattering source suppression; otherwise, repeat strong scattering source suppression; repeat this process until the predetermined requirements are met.

[0078] judge If the similarity is below a set threshold, determine if the NCC has reached the predetermined similarity. If both conditions are met, the predetermined requirements are considered satisfied. Otherwise, return to sub-step S41.

[0079] like Figure 4 The image shown is a SAR image of a ship at different azimuth angles. Figure 4 In the image, (a) is a SAR image of the ship at an azimuth angle of 62°, and (b) is a SAR image of the ship at an azimuth angle of 126°. The location (and structure) of the strong scattering source determined by the method proposed in this application, through a combined coarse and fine determination method for detecting the location and structure of the strong scattering source, is as follows: Figure 5 As shown in the circular region, Figure 5 In the diagram, (a) is a schematic diagram of the ship at an azimuth angle of 62°, and (b) is a schematic diagram of the ship at an azimuth angle of 126°. The SAR image after strong scattering source suppression according to the method of this embodiment is shown below. Figure 6 As shown, Figure 6 In the image, (a) is a SAR image of the ship at an azimuth angle of 62°, and (b) is a SAR image of the ship at an azimuth angle of 126°. This example demonstrates the effectiveness of the target radar scattering suppression method proposed in this application.

[0080] Based on the ideas of this application, this application also proposes a target radar scattering suppression device, which includes a processor and a storage medium. The storage medium stores a computer program, and the processor runs the computer program to execute the target radar scattering suppression method of the above embodiments.

[0081] This invention is not limited to the specific embodiments described above. The invention extends to any new feature or combination disclosed in this specification, as well as any new method or process step or combination disclosed herein.

Claims

1. A method for suppressing radar scattering of a target, characterized in that, include: Acquire SAR images of the target; Extract the attribute scattering center of the SAR image, and make a coarse estimate of the location and structure of the strong scattering source of the target based on the attribute scattering center; Based on the coarse estimation results, the location and structure of the strong scattering source are precisely estimated by combining radar parameters. Strong scattering source suppression is performed based on the precisely estimated location and structure of the strong scattering source.

2. The target radar scattering suppression method as described in claim 1, characterized in that, Acquire SAR images of the target, including: Based on the target's three-dimensional digital geometric information, the spatial distribution information of the target's scattering field is calculated using a hybrid algorithm of geometric optics and physical optics. Based on the SAR imaging principle, radar echo simulation is performed using the spatial distribution information of the scattered field. The simulated radar echo was imaged using the back projection (BP) algorithm to obtain the SAR image.

3. The target radar scattering suppression method as described in claim 1, characterized in that, Extracting the attribute scattering centers of the SAR image includes: The SAR image is preprocessed to obtain the original frequency domain echo data; Based on the original frequency domain echo data, the azimuth physical coordinates X and range physical coordinates Y of the attribute scattering center are initialized respectively to generate an atomic dictionary, and the orthogonal matching pursuit (OMP) algorithm is used for coarse estimation. Based on the coarse estimates of X and Y, initialize the azimuth spread distance L and azimuth angle of the attribute scattering center. A dictionary of atoms is generated, and a coarse estimate is performed using the OMP algorithm. For the coarse estimates of X, Y, L and Interpolation is performed to generate an atomic dictionary, and the OMP algorithm is used for estimation. The type of attribute scattering center is determined based on the estimated L; the amplitude A and frequency dependence factor of the attribute scattering center are discretized sequentially. and direction dependency parameters The OMP algorithm is used to estimate the scattering center based on its type. Based on the estimated X, Y, L, A and Radar echo reconstruction is performed, and the reconstructed signal is transformed into the image domain to obtain the attribute scattering center.

4. The target radar scattering suppression method as described in claim 3, characterized in that, The estimation process of the OMP algorithm used includes: Obtain the atomic dictionary D, the raw frequency domain echo data s, and the termination threshold. ; Initialize the scattered echo residual vector Reconstructed signal Atomic index set Iteration counter Energy gain ; The iteration begins, based on the atomic dictionary D and the residual vector of the scattered echo. The inner product is evaluated for its relevance C; Locate the atom with the highest inner product similarity in the relevance C, and calculate the inner product similarity of that atom. Write to atomic index set In this context, k represents the iteration round; The amplitude approximation of the atom and the original frequency domain echo data s was calculated using the least squares method. ; Based on the amplitude approximation Estimate the reconstructed signal ; Based on the original frequency domain echo data s and the reconstructed signal Update the scattered echo residual vector ; Based on the original frequency domain echo data s and the reconstructed signal Update the scattering atom energy percentage for this iteration. ; Determine the energy percentage of the scattering atoms Has the change fallen to the termination threshold? If not, proceed to the next iteration; if yes, terminate the iteration.

5. The target radar scattering suppression method as described in claim 1, characterized in that, Based on the coarse estimation results, and combined with radar parameters, a fine estimation of the location and structure of the strong scattering source is performed, including: Based on the range gate number and azimuth number of the roughly estimated strong scattering source in the SAR image, calculate the alternative locations of the strong scattering source on the target entity. The locations that are the same as the structure of the roughly estimated strong scattering source are selected from the candidate locations.

6. The target radar scattering suppression method as described in claim 1, characterized in that, Strong scattering source suppression is performed based on the precisely estimated location and structure of the strong scattering source, including: Based on the precisely estimated location and structure of the strong scattering source, the strong scattering source is suppressed by structural deformation or structural coating.

7. The target radar scattering suppression method as described in claim 6, characterized in that, Methods for structurally deforming strong scattering sources include: For strong scattering sources with dihedral or trihedral scattering structures, change the tilt angle of the structure and / or change the angle between the surfaces.

8. The target radar scattering suppression method as described in claim 1, 6, or 7, characterized in that, Methods for suppressing strong scattering sources include: Suppress strong scattering sources; Compare the similarity between the SAR image of the target after strong scattering source suppression and the original SAR image, as well as the difference in radar cross section (RCS) intensity. If the comparison results all meet the predetermined requirements, then strong scattering source suppression is stopped; otherwise, strong scattering source suppression is performed again; this process is repeated until the predetermined requirements are met.

9. The target radar scattering suppression method as described in claim 1, characterized in that, Based on the aforementioned attribute scattering center, a coarse estimate is made of the location and structure of the target strong scattering source, including: Based on the set scattering intensity threshold, points that reach the scattering intensity threshold are determined from the SAR image, and the location and structure of the points are determined by the attribute scattering center.

10. A target radar scattering suppression device, characterized in that, It includes a processor and a storage medium, the storage medium storing a computer program, the processor running the computer program to perform the target radar scattering suppression method as described in any one of claims 1-9.

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