VideoSAR deception jamming method and system based on Shearlet domain scattering control

Abstract

The present invention discloses a VideoSAR deception jamming method and system based on Shearlet domain scattering control. The method comprises the following steps: first, intercepted enemy VideoSAR radar signals are reconnaissance analyzed to obtain enemy VideoSAR signal parameters and platform motion parameters; then, the own VideoSAR is used to perform frame imaging processing on the dynamic region of interest to obtain a highly realistic benchmark deception template, and frame-by-frame non-subsampled Shearlet domain transform and scattering control are performed to obtain a deception jamming template video containing low-frequency and high-frequency components. The false point coefficients are solved by combining the highly realistic benchmark deception template video sequence to obtain a VideoSAR deception jamming modulation coefficient video library; then, the intercepted enemy VideoSAR signal is subjected to delay, amplitude, and phase modulation using an adaptive jamming strategy to obtain a deception jamming signal of a VideoSAR false scene; finally, the deception jamming signal of the VideoSAR false scene is forwarded to achieve a VideoSAR deception jamming imaging effect. The present invention achieves the purpose of deception jamming of the VideoSAR system and has the advantages of low sample requirement and high jamming efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of radar intelligent countermeasures and deception jamming template generation, and in particular to a VideoSAR deception jamming method and system based on Shearlet domain scattering control. Background Art

[0002] With hardware breakthroughs and significant increases in signal processing speed in Synthetic Aperture Radar (SAR) systems, methods for detecting regions of interest are transitioning from traditional static imaging to dynamic video reconnaissance. Video Synthetic Aperture Radar (VideoSAR), a natural extension of current SAR imaging methods, is gradually becoming an important imaging and detection mode for aerospace platforms. New VideoSAR systems feature high frame rates and high-resolution imaging. They can continuously illuminate and accumulate data on dynamic regions of interest using imaging channels and aperture manifold patterns, acquiring sequences of dozens or even hundreds of thousands of frames of object images. By processing the data from these sequences, they can detect, monitor, and reconnaissance long-range air-to-ground mobile targets, playing a vital role in scenarios such as emergency response.

[0003] As SAR reconnaissance becomes increasingly important, the effectiveness of enemy SAR is being weakened and destroyed through various electronic countermeasures and jamming measures. Existing countermeasures all employ suppression and deceptive jamming techniques, and are targeted at single-frame SAR, different signal waveform types, multi-channel configurations, array SAR, and degrees of freedom. For example, invention patent CN103675769B discloses a deceptive jamming method for squint SAR based on distributed receivers. The method uses a jammer and a receiver to intercept radar signals, analyze SAR signal parameters, calculate the delay difference between each receiver and the jammer, and calculate a delay coefficient based on the delay difference and the receiver's position coordinates. The method then designs a location distribution for a false scene, uses the delay coefficient to calculate the delay difference corresponding to each point in the false scene, and uses the delay difference to jam and modulate the intercepted radar signal, generating a deceptive jamming signal and forwarding it. This deceptive jamming signal is then transmitted to the enemy radar, resulting in a deceptive jamming signal that is a superposition of the real scene radar signal and the false scene deceptive jamming signal. Invention patent CN112255596A discloses a method for generating spaceborne SAR deception jamming signals based on spatial frequency interpolation. The jamming process is divided into an initialization phase and a real-time calculation phase. The initialization phase mainly includes the establishment of a coordinate system and jamming module, and the acquisition of a two-dimensional spatial spectrum. After completing the initialization phase, the sinc function interpolation method is used to obtain the interference function corresponding to each pulse signal reaching the jammer based on the determined two-dimensional spatial spectrum. Finally, the interference function is used to modulate the received pulse signal of the SAR platform to generate the corresponding jamming signal.

[0004] These traditional jammers, such as single-frame SAR, multi-channel SAR, and frequency-steering array SAR, are not targeted at VideoSAR systems. Furthermore, jammer templates fail to incorporate the multidimensional correlation characteristics of electromagnetic scattering behavior, making it difficult to effectively generate deceptive jammer templates that can capture diverse details and video features. Furthermore, existing VideoSAR deception templates have a small sample size, making them inadequate for generating templates for anisotropically scattered video modulation.

[0005] To date, no research has been conducted on jamming new VideoSAR systems, particularly VideoSAR deception jamming techniques that utilize video scatter frame manipulation. Therefore, there is an urgent need to develop a method for VideoSAR deception jamming that can simultaneously perform high-fidelity scatter manipulation on existing measured scatter data, achieve substantial amplification of limited video templates, and improve the effectiveness of scatter frame correlation deception jamming on VideoSAR systems. Summary of the Invention

[0006] The present invention aims to provide a VideoSAR deception jamming method and system that can perform high-fidelity scattering control on existing VideoSAR measured scattering data, achieve deception jamming of the VideoSAR system, and achieve the purpose of hiding and protecting real targets. The method and system can also achieve essential amplification of limited VideoSAR video templates and improve the effectiveness of deception jamming of scattering frame association on the VideoSAR system.

[0007] The technical solution to achieve the purpose of the present invention is: a VideoSAR deception jamming method based on Shearlet domain scattering control, comprising the following steps:

[0008] Step 1: Intercept the enemy VideoSAR radar signal through a jammer;

[0009] Step 2: Conduct reconnaissance and analysis on the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters;

[0010] Step 3: Use your own VideoSAR to perform frame imaging processing on the dynamic region of interest to obtain your own VideoSAR video sequence as your own VideoSAR high-fidelity benchmark deception template;

[0011] Step 4: Perform a frame-by-frame non-subsampled Shearlet domain transform and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained. Λ is a positive integer, and K represents the total number of frames in the own VideoSAR sequence.

[0012] Step 5: Calculate the false point coefficients of the video sequence of the VideoSAR high-fidelity benchmark deception template, the Λ low-frequency component deception interference template video, and the KΛ high-frequency component deception interference template video to obtain A VideoSAR deception jamming modulation coefficient video library; and are the position and distance pixel numbers of our own VideoSAR high-fidelity benchmark deception template respectively;

[0013] Step 6: Use the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is used to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal using an adaptive jamming strategy to obtain a deception jamming signal of the VideoSAR false scene;

[0014] Step 7: Forward the VideoSAR deception jamming signal of the false scene so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the final anisotropic VideoSAR deception jamming imaging effect.

[0015] A VideoSAR deception jamming system based on Shearlet domain scattering control is used to implement the VideoSAR deception jamming method based on Shearlet domain scattering control. The system includes an enemy signal interception module, a reconnaissance and analysis module, a deception template generation module, a domain transformation and scattering control module, a false point coefficient solution module, a deception jamming signal acquisition module, and a deception jamming imaging module, wherein:

[0016] Enemy signal interception module, which intercepts enemy VideoSAR radar signals through jammers;

[0017] The reconnaissance and analysis module conducts reconnaissance and analysis on the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters;

[0018] The deception template generation module uses the own VideoSAR to perform frame imaging processing on the dynamic region of interest and obtains the own VideoSAR video sequence as the own VideoSAR high-fidelity benchmark deception template;

[0019] The domain transformation and scattering control module performs frame-by-frame non-subsampled Shearlet domain transformation and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained. Λ is a positive integer, and K represents the total number of frames in the own VideoSAR sequence.

[0020] The false point coefficient solving module solves the false point coefficients of the video sequence of the VideoSAR high-fidelity benchmark deception template, the deception interference template video of Λ low-frequency components and the deception interference template video of KΛ high-frequency components, and obtains A VideoSAR deception jamming modulation coefficient video library; and are the position and distance pixel numbers of our own VideoSAR high-fidelity benchmark deception template respectively;

[0021] Deception jamming signal acquisition module, using the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is used to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal using an adaptive jamming strategy to obtain a deception jamming signal of the VideoSAR false scene;

[0022] The deception jamming imaging module forwards the deception jamming signal of the VideoSAR false scene, so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the ultimate anisotropic VideoSAR deception jamming imaging effect.

[0023] A mobile terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the VideoSAR deception jamming method based on Shearlet domain scattering control is implemented.

[0024] Compared with the existing technology, the significant differences of the present invention are: (1) it can deceive and interfere with the VideoSAR system, achieve the purpose of hiding and protecting the real target, and improve the protection performance of the real target; (2) in view of the small sample size of the existing VideoSAR deception template, which is difficult to meet the needs of generating anisotropic scattering video modulation templates, a frame-by-frame non-subsampled Shearlet domain transform scattering control method is proposed to generate a high-fidelity VideoSAR video library. This scattering control method realizes the modulation coefficient from Expand to The effect of the limited video template is achieved, and the essential amplification of the limited video template is realized, which improves the effectiveness of the deception interference of the scattered frame association on the VideoSAR system; (3) The scale of the deception interference modulation coefficient video library can be dynamically adjusted according to the decomposition number Λ to obtain a combination of several anisotropic interference templates. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1The figure is a flow chart of the VideoSAR deception jamming method based on Shearlet domain scattering control of the present invention.

[0026] Figure 2 This is a diagram showing the VideoSAR benchmark deception template data of one's own party and the large-scale airborne VideoSAR measured data of the interference object in an embodiment of the present invention.

[0027] Figure 3 This is a diagram showing the effect of frame-by-frame non-subsampled Shearlet domain scattering control of scattering objects in an embodiment of the present invention.

[0028] Figure 4 1 and 175 are VideoSAR interference maps respectively exemplified for the 1st frame, the 100th frame, the 120th frame, and the 175th frame in an embodiment of the present invention.

[0029] Figure 5 This is a dynamic comparison diagram of the visual interference effects of different VideoSAR frames on the deceptive target generation area in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] The present invention provides a VideoSAR deception jamming method based on Shearlet domain scattering control, comprising the following steps:

[0032] Step 1: Intercept the enemy VideoSAR radar signal through a jammer;

[0033] Step 2: Conduct reconnaissance and analysis on the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters;

[0034] Step 3: Use your own VideoSAR to perform frame imaging processing on the dynamic region of interest to obtain your own VideoSAR video sequence as your own VideoSAR high-fidelity benchmark deception template;

[0035] Step 4: Perform a frame-by-frame non-subsampled Shearlet domain transform and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained. Λ is a positive integer, and K represents the total number of frames in the own VideoSAR sequence.

[0036] Step 5: Calculate the false point coefficients of the video sequence of the VideoSAR high-fidelity benchmark deception template, the Λ low-frequency component deception interference template video, and the KΛ high-frequency component deception interference template video to obtain A VideoSAR deception jamming modulation coefficient video library; and are the position and distance pixel numbers of our own VideoSAR high-fidelity benchmark deception template respectively;

[0037] Step 6: Use the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is used to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal using an adaptive jamming strategy to obtain a deception jamming signal of the VideoSAR false scene;

[0038] Step 7: Forward the VideoSAR deception jamming signal of the false scene so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the final anisotropic VideoSAR deception jamming imaging effect.

[0039] As a specific example, the jammer in step 1 is placed in the area to be protected, or on land or a ship within a set distance from the area to be protected.

[0040] As a specific example, the enemy VideoSAR radar in step 1 is carried on the enemy's spacecraft, and the radar working mode is one or more of video line trace bunching, video line trace strip, 360-degree video circular trace bunching, 360-degree video circular trace ring, and 360-degree heavy track video circular trace ring.

[0041] As a specific example, in step 2, the enemy VideoSAR radar signal is reconnaissance analyzed to obtain the enemy VideoSAR signal parameters and platform motion parameters, as follows:

[0042] The intercepted VideoSAR signal data s(τ, t, x, y, i) is detected, analyzed and identified in real time, and the signal parameters and platform motion parameters corresponding to each frame are generated to guide the deception jammer to implement interference;

[0043] Where τ and t are the distance time and azimuth time respectively, x and y are the azimuth and distance positions of any point in the scene respectively, i represents the i-th frame, i = 1, 2, ..., K.

[0044] As a specific example, in step 3, the dynamic region of interest is imaged using the own VideoSAR to obtain a own VideoSAR video sequence as the own VideoSAR high-fidelity benchmark deception template, as follows:

[0045] Use your own VideoSAR to perform two-dimensional high-resolution imaging processing on the dynamic area of ​​interest, and generate your own VideoSAR video sequence with a stable and consistent coordinate system as a high-fidelity benchmark deception template JF = {JF1, JF2, .., JF i ,...,JF K}, where JF i is the deception template image of the i-th frame; calculate the coordinates (x j ,y j ) corresponds to the video backscatter coefficient σ(x j ,y j ,i).

[0046] As a specific example, in step 4, the video sequence of the own VideoSAR high-fidelity benchmark deception template is subjected to frame-by-frame non-subsampled Shearlet domain transform and scattering control. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained, as follows:

[0047] Step 4.1: Perform frame-by-frame non-subsampled Shearlet domain transform and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. The expression is:

[0048]

[0049] Where Λ = 1, 2, 3, 4, 5, ... represents a positive integer, which is the number of times the adaptive custom decomposition can be performed in the non-subsampled Shearlet domain transform; ψ is the radiation transform, γ and T are reversible matrices, m, l, k are the scale, shear and translation parameters of the non-subsampled Shearlet domain transform decomposition, X is a variable, and η is the number of sub-partitions;

[0050] Step 4.2: After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained, which are expressed as:

[0051]

[0052] Among them, JLF i To control the generated low-frequency component of the i-th frame deception template image, The high-frequency component deception template image of the Λth i-th frame generated for regulation.

[0053] As a specific example, in step 5, the false point coefficients are solved for the video sequence of the own VideoSAR high-fidelity reference deception template, the Λ low-frequency component deception interference template video and the KΛ high-frequency component deception interference template video to obtain A VideoSAR deception jamming modulation coefficient video library, as follows:

[0054]

[0055] in, Video library of modulation coefficients for VideoSAR deception jamming, are the positions corresponding to the azimuth directions, They are the corresponding positions in the distance direction, and the modulation coefficient is changed from Expand to

[0056] As a specific example, in step 6, the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is built to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal with an adaptive jamming strategy to obtain the deception jamming signal of the VideoSAR false scene, as follows:

[0057] Step 6.1: The adaptive jamming strategy is selected based on the VideoSAR electromagnetic scattering key frame model. The formula is:

[0058]

[0059] Among them, the subscript min represents the minimum value, the subscript max represents the maximum value, and ξ su is the initial frame position of the scattering energy rising stage, ξ eu is the end frame position of the scattering energy rising stage, ξ sd is the initial frame position of the scattering energy decreasing stage, ξ ed is the end frame position of the scattering energy decrease stage, A(i) is the response amplitude of the i-th frame;

[0060] Step 6.2: Use the VideoSAR deception jamming modulation coefficient video library to obtain the deception jamming signal of the VideoSAR false scene. The formula is:

[0061]

[0062] Among them, s(f τ ,t,x j ,y j,i) is the coordinate of s(τ,t,x,y,i) at the false point (x j ,y j ) is represented by Fourier transform along the distance direction, G a is the jammer gain factor, V is the speed of the intercepted enemy VideoSAR platform, c is the speed of light, R ref is the reference distance between the jammer and the phase center of the enemy radar antenna, y range_pos is the distance offset position of the jammer relative to the origin.

[0063] The present invention also provides a VideoSAR deception jamming system based on Shearlet domain scattering control, which is used to implement the VideoSAR deception jamming method based on Shearlet domain scattering control. The system includes an enemy signal interception module, a reconnaissance and analysis module, a deception template generation module, a domain transformation and scattering control module, a false point coefficient solution module, a deception jamming signal acquisition module, and a deception jamming imaging module, wherein:

[0064] Enemy signal interception module, which intercepts enemy VideoSAR radar signals through jammers;

[0065] The reconnaissance and analysis module conducts reconnaissance and analysis on the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters;

[0066] The deception template generation module uses the own VideoSAR to perform frame imaging processing on the dynamic region of interest and obtains the own VideoSAR video sequence as the own VideoSAR high-fidelity benchmark deception template;

[0067] The domain transformation and scattering control module performs frame-by-frame non-subsampled Shearlet domain transformation and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained. Λ is a positive integer, and K represents the total number of frames in the own VideoSAR sequence.

[0068] The false point coefficient solving module solves the false point coefficients of the video sequence of the VideoSAR high-fidelity benchmark deception template, the deception interference template video of Λ low-frequency components and the deception interference template video of KΛ high-frequency components, and obtains A VideoSAR deception jamming modulation coefficient video library; and are the position and distance pixel numbers of our own VideoSAR high-fidelity benchmark deception template respectively;

[0069] Deception jamming signal acquisition module, using the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is used to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal using an adaptive jamming strategy to obtain a deception jamming signal of the VideoSAR false scene;

[0070] The deception jamming imaging module forwards the deception jamming signal of the VideoSAR false scene, so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the ultimate anisotropic VideoSAR deception jamming imaging effect.

[0071] The present invention also provides a mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the VideoSAR deception jamming method based on Shearlet domain scattering control is implemented.

[0072] Example

[0073] This embodiment will provide a detailed and complete description of the specific steps of the present invention in conjunction with the accompanying drawings. The embodiment in the accompanying drawings only illustrates the application of the present invention in a single-band, single-track, single-channel VideoSAR jamming scenario. The present invention is not limited to a single VideoSAR jamming scenario and can be applied to other VideoSAR jamming scenarios, including combined jamming scenarios involving single or multiple bands, tracks, and channels.

[0074] Combine Figure 1 The present invention provides a VideoSAR deception jamming method based on Shearlet domain scattering control, comprising the following steps:

[0075] Step 1: Intercept the enemy VideoSAR radar signal through a jammer;

[0076] The jammer is placed on land or on a ship in or near the area to be protected.

[0077] The enemy VideoSAR radar is carried on the enemy's spacecraft, and the radar working mode is one or more of video line trace bunching, video line trace strip, 360-degree video circular trace bunching, 360-degree video circular trace ring, and 360-degree heavy track video circular trace ring.

[0078] Step 2: Conduct reconnaissance and analysis of the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters, as follows:

[0079] The intercepted VideoSAR signal data s(τ, t, x, y, i) is detected, analyzed, and identified in real time, generating the signal parameters and platform motion parameters corresponding to each frame to guide the deception jammer to implement interference;

[0080] Where τ and t are the distance time and azimuth time respectively, x and y are the azimuth and distance positions of any point in the scene respectively, i represents the i-th frame, i = 1, 2, ..., K.

[0081] Step 3: Use your own VideoSAR to perform frame imaging processing on the dynamic region of interest to obtain your own VideoSAR video sequence as a high-fidelity baseline deception template, as follows:

[0082] Use your own VideoSAR to perform two-dimensional high-resolution imaging processing on the dynamic area of ​​interest, and generate a VideoSAR high-fidelity benchmark deception jamming template JF={JF1, JF2, .., JF i ,...,JF K}, where JF i The deceptive template image of the i-th frame; calculate the coordinates of any false point in the template (x j ,y j ) corresponds to the video backscatter coefficient σ(x j ,y j ,i).

[0083] Step 4: Perform frame-by-frame non-subsampled Shearlet domain transform and scattering control on the own VideoSAR high-fidelity benchmark deception template video sequence. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained, as follows:

[0084] Step 4.1: Perform frame-by-frame non-subsampled Shearlet domain transform and scattering control on the high-fidelity benchmark deception template video sequence of the own VideoSAR. The form is:

[0085]

[0086] Where Λ = 1, 2, 3, 4, 5, ... represents a positive integer, which is the number of times the adaptive custom decomposition can be performed in the non-subsampled Shearlet domain transform; ψ is the radiation transform, γ and T are reversible matrices, m, l, k are the scale, shear and translation parameters of the non-subsampled Shearlet domain transform decomposition, χ is a variable, and η is the number of sub-partitions;

[0087] Step 4.2: After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained, which are in the form of:

[0088]

[0089] Step 5: Calculate the false point coefficients of the VideoSAR high-fidelity benchmark deception template video sequence, the Λ low-frequency component deception interference template video, and the KΛ high-frequency component deception interference template video to obtain A VideoSAR deception jamming modulation coefficient video library, as follows:

[0090]

[0091] in, Video library of modulation coefficients for VideoSAR deception jamming, and are the position and distance pixels of the deceptive template, are the positions corresponding to the azimuth directions, are the corresponding positions in the distance direction, so the scattering control method realizes the modulation coefficient from Expand to effect.

[0092] Step 6: Use the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is built to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal with an adaptive jamming strategy to obtain the deception jamming signal of the VideoSAR false scene, as follows:

[0093] Step 6.1: The adaptive jamming strategy is selected based on the VideoSAR electromagnetic scattering keyframe model, which is in the form of:

[0094]

[0095] Among them, min is the minimum value, max is the maximum value, ξ su is the initial frame position of the scattering energy rising stage, ξ eu is the end frame position of the scattering energy rising stage, ξ sd is the initial frame position of the scattering energy decreasing stage, ξ ed is the end frame position of the scattering energy decrease stage, A(i) is the response amplitude of the i-th frame;

[0096] Step 6.2: Use the VideoSAR deception jamming modulation coefficient video library to obtain the deception jamming signal of the VideoSAR false scene. Its form is:

[0097]

[0098] Among them, s(f τ ,t,x j ,y j ,i) is the coordinate of s(τ,t,x,y,i) at the false point (x j ,y j ) is represented by Fourier transform along the distance direction, G a is the jammer gain factor, V is the speed of the intercepted enemy VideoSAR platform, c is the speed of light, R ref is the reference distance between the jammer and the phase center of the enemy radar antenna, y range_pos is the jammer's offset position relative to the origin.

[0099] Step 7: Forward the VideoSAR deception jamming signal of the false scene so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the final anisotropic VideoSAR deception jamming imaging effect.

[0100] In order to verify the feasibility of the implementation method of the present invention, a large-scale airborne VideoSAR measured data is used as the reference video template, and another airborne VideoSAR measured data is used as the interference object. The performance analysis indicators are structural similarity (SSIM), mean square error (MSE), peak signal-to-noise ratio (PSNR) and frame entropy difference (ΔEntropy) to simulate the large-scale airborne VideoSAR measured data of the jammer and the interference object.

[0101] Figure 2 This is a diagram showing the VideoSAR benchmark deception template data of one's own party and the large-scale airborne VideoSAR measured data of the interference object in an embodiment of the present invention. Figure 2 (a) in the figure is the measured data of the own VideoSAR benchmark deception template, which is the source of the generation of the benchmark deception template. A series of benchmark deception templates are generated according to the scene in the figure. Figure 2 (b) in the figure is the VideoSAR measured data of the interference object. Figure 3 This is a diagram showing the effect of performing frame-by-frame non-subsampled Shearlet domain scattering control on a scattering feature in an embodiment of the present invention. Figure 4 (a), (b), (c), and (d) are VideoSAR interference graphs respectively illustrating the 1st frame, the 100th frame, the 120th frame, and the 175th frame in an embodiment of the present invention. Figure 5Figures (a), (b), (c), and (d) are dynamic comparison diagrams of the visual jamming effects of the 1st, 100th, 120th, and 175th VideoSAR frames on the deceptive target generation area in an embodiment of the present invention. The quantitative calculation results for different frames are shown in Table 1:

[0102] Table 1 Results of quantitative calculations of different frames in the embodiment of the present invention

[0103]

[0104] Table 1 shows that the proposed method can achieve anisotropic continuous deceptive jamming of VideoSAR dynamic video, with larger SSIM and PSNR values ​​being preferred, while smaller MSE and ΔEntropy values ​​are preferred. The quantitative results for these four criteria demonstrate that the proposed method achieves excellent jamming performance.

[0105] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary method personnel in the field of this method, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be considered as the scope of protection of the present invention.

Claims

1. A VideoSAR deception jamming method based on Shearlet domain scattering control, characterized in that: The following steps are involved: Step 1: Intercept the enemy VideoSAR radar signal through a jammer; Step 2: Conduct reconnaissance and analysis on the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters; Step 3: Use your own VideoSAR to perform frame imaging processing on the dynamic region of interest to obtain your own VideoSAR video sequence as your own VideoSAR high-fidelity benchmark deception template; Step 4: Perform frame-by-frame non-subsampled Shearlet domain transform and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained. Λ is a positive integer, K represents the total number of frames of the own VideoSAR sequence; Step 5: Calculate the false point coefficients of the video sequence of the VideoSAR high-fidelity benchmark deception template, the Λ low-frequency component deception interference template video, and the KΛ high-frequency component deception interference template video to obtain A VideoSAR deception jamming modulation coefficient video library; and are the position and distance pixel numbers of our own VideoSAR high-fidelity benchmark deception template respectively; Step 6: Use the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is used to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal using an adaptive jamming strategy to obtain a deception jamming signal of the VideoSAR false scene; Step 7: Forward the VideoSAR deception jamming signal of the false scene so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the final anisotropic VideoSAR deception jamming imaging effect.

2. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: The jammer in step 1 is placed in the area to be protected, or on land or ships within a set distance from the area to be protected.

3. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: The enemy VideoSAR radar in step 1 is carried on the enemy's spacecraft, and the radar operating mode is one or more of video line tracking beamforming, video line tracking stripping, 360-degree video circular tracking beamforming, 360-degree video circular tracking ring, and 360-degree heavy track video circular tracking ring.

4. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: In step 2, the enemy VideoSAR radar signal is reconnaissance analyzed to obtain the enemy VideoSAR signal parameters and platform motion parameters, as follows: The intercepted VideoSAR signal data s(τ, t, x, y, i) is detected, analyzed, and identified in real time, generating the signal parameters and platform motion parameters corresponding to each frame to guide the deception jammer to implement interference; Where τ and t are the distance time and azimuth time respectively, x and y are the azimuth and distance positions of any point in the scene respectively, i represents the i-th frame, i = 1, 2, ..., K.

5. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: In step 3, the dynamic region of interest is processed using the own VideoSAR to obtain the own VideoSAR video sequence as the own VideoSAR high-fidelity benchmark deception template, as follows: Use your own VideoSAR to perform two-dimensional high-resolution imaging processing on the dynamic area of ​​interest, and generate your own VideoSAR video sequence with a stable and consistent coordinate system as a high-fidelity benchmark deception template JF = {JF1, JF2, .., JF i ,...,JF K }, where JF i is the deception template image of the i-th frame; calculate the coordinates (x j ,y j ) corresponds to the video backscatter coefficient σ(x j ,y j ,i).

6. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: In step 4, the video sequence of the own VideoSAR high-fidelity benchmark deception template is subjected to frame-by-frame non-subsampled Shearlet domain transform and scattering control. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained, as follows: Step 4.1: Perform frame-by-frame non-subsampled Shearlet domain transform and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. The expression is: Where Λ = 1, 2, 3, 4, 5, ... represents a positive integer, which is the number of times the adaptive custom decomposition can be performed in the non-subsampled Shearlet domain transform; ψ is the radiation transform, γ and T are reversible matrices, m, l, k are the scale, shear and translation parameters of the non-subsampled Shearlet domain transform decomposition, X is a variable, and η is the number of sub-partitions; Step 4.2: After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained, which are expressed as: Among them, JLF i To control the generated low-frequency component of the i-th frame deception template image, The high-frequency component deception template image of the Λth i-th frame generated for regulation.

7. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: In step 5, the false point coefficients are solved for the video sequence of the own VideoSAR high-fidelity benchmark deception template, the Λ low-frequency component deception interference template video and the KΛ high-frequency component deception interference template video to obtain A VideoSAR deception jamming modulation coefficient video library, as follows: in, Video library of modulation coefficients for VideoSAR deception jamming, are the positions corresponding to the azimuth directions, They are the corresponding positions in the distance direction, and the modulation coefficient is changed from Expand to 8. The VideoSAR deception jamming method based on Shearlet domain scattering control according to claim 1 is characterized in that: In step 6, the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is built to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal with an adaptive jamming strategy to obtain the deception jamming signal of the VideoSAR false scene, as follows: Step 6.1: The adaptive jamming strategy is selected based on the VideoSAR electromagnetic scattering key frame model. The formula is: Among them, the subscript min represents the minimum value, the subscript max represents the maximum value, and ξ su is the initial frame position of the scattering energy rising stage, ξ eu is the end frame position of the scattering energy rising stage, ξ sd is the initial frame position of the scattering energy decreasing stage, ξ ed is the end frame position of the scattering energy decrease stage, A(i) is the response amplitude of the i-th frame; Step 6.2: Use the VideoSAR deception jamming modulation coefficient video library to obtain the deception jamming signal of the VideoSAR false scene. The formula is: Among them, s(f τ ,t,x j ,y j ,i) is the coordinate of s(τ,t,x,y,i) at the false point (x j ,y j ) is represented by Fourier transform along the distance direction, G a is the jammer gain factor, V is the speed of the intercepted enemy VideoSAR platform, c is the speed of light, R ref is the reference distance between the jammer and the phase center of the enemy radar antenna, y range_pos is the distance offset position of the jammer relative to the origin.

9. A VideoSAR deception jamming system based on Shearlet domain scattering control, characterized in that: The system is used to implement the VideoSAR deception jamming method based on Shearlet domain scattering control according to any one of claims 1 to 8. The system includes an enemy signal interception module, a reconnaissance analysis module, a deception template generation module, a domain transformation and scattering control module, a false point coefficient solution module, a deception jamming signal acquisition module, and a deception jamming imaging module, wherein: Enemy signal interception module, which intercepts enemy VideoSAR radar signals through jammers; The reconnaissance and analysis module conducts reconnaissance and analysis on the enemy VideoSAR radar signal to obtain the enemy VideoSAR signal parameters and platform motion parameters; The deception template generation module uses the own VideoSAR to perform frame imaging processing on the dynamic region of interest and obtains the own VideoSAR video sequence as the own VideoSAR high-fidelity benchmark deception template; The domain transformation and scattering control module performs frame-by-frame non-subsampled Shearlet domain transformation and scattering control on the video sequence of the own VideoSAR high-fidelity benchmark deception template. After Λ decompositions and scattering control, a total of Λ low-frequency component deception interference template videos and KΛ high-frequency component deception interference template videos are obtained. Λ is a positive integer, and K represents the total number of frames in the own VideoSAR sequence. The false point coefficient solving module solves the false point coefficients of the video sequence of the VideoSAR high-fidelity benchmark deception template, the deception interference template video of Λ low-frequency components and the deception interference template video of KΛ high-frequency components, and obtains A VideoSAR deception jamming modulation coefficient video library; and are the position and distance pixel numbers of our own VideoSAR high-fidelity benchmark deception template respectively; Deception jamming signal acquisition module, using the enemy VideoSAR signal parameters, platform motion parameters and A VideoSAR deception jamming modulation coefficient video library is used to delay, modulate the amplitude and phase of the intercepted enemy VideoSAR signal using an adaptive jamming strategy to obtain a deception jamming signal of the VideoSAR false scene; The deception jamming imaging module forwards the deception jamming signal of the VideoSAR false scene, so that the video deception jamming and the real scene echo signal are received by the enemy VideoSAR system at the same time, achieving the ultimate anisotropic VideoSAR deception jamming imaging effect.

10. A mobile terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the VideoSAR deception jamming method based on Shearlet domain scattering control according to any one of claims 1 to 8 is implemented.

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