Dual-radar track synthetic aperture radar jammer positioning method and system, storage medium and electronic device

Abstract

The application discloses a dual-homing synthetic aperture radar interference source positioning method and system, a storage medium and an electronic device, and comprises the following steps: judging whether an interference exists in a target area; extracting an interference signal and retaining only the interference signal; azimuth weighting the interference signal, fitting an interference signal strength change trend, obtaining a position factor, calculating the position factor of the interference in two images of the dual-homing, performing geometric correction on the two images of the dual-homing, and according to the obtained geometric correction result, crossing the two images according to the dual-homing orbit inclination degree, and obtaining the interference source position through the position factor. Through the application, the geographical position of the interference source in the synthetic aperture radar image can be accurately positioned, which is beneficial to subsequent synthetic aperture radar system active interference source avoidance or early measures to prevent interference signals from entering the receiver, and can effectively reduce the influence of various electromagnetic interferences on the synthetic aperture radar image.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, and in particular to a method, system, storage medium, and electronic device for locating interference sources in dual-track synthetic aperture radar. Background Technology

[0002] Currently, Synthetic Aperture Radar (SAR) is an active microwave remote sensing technology capable of precise and continuous ground observation, and it has been widely used in many fields. However, with the continuous development of science and technology and the emergence of various electronic devices, the electromagnetic environment is also deteriorating. Interference is increasingly appearing in SAR images, and it is becoming more and more serious and widespread.

[0003] To reduce the impact of electromagnetic interference on SAR systems, researchers have proposed numerous interference suppression algorithms capable of suppressing interference under various conditions. Parametric, semi-parametric, and non-parametric interference suppression algorithms have been proposed successively, all capable of suppressing interference under certain conditions. However, most existing algorithms suppress interference after it has been received by the SAR system, representing passive suppression. At this point, the interference has already affected the useful signal, and the effectiveness of passively suppressing interference using these algorithms is limited. Actively avoiding the source of interference or taking measures in advance to prevent interference signals from entering the SAR system offers better protection than passive interference suppression. However, this approach requires prior knowledge of the interference source's location; therefore, accurate location of the interference source is crucial for improving the SAR system's active anti-interference capability.

[0004] There are many methods for locating interference sources, but most of them are not applicable to SAR systems. There is also little research on methods for locating interference sources in SAR. Dual-track data is data obtained by SAR systems observing a certain area at different times and from different angles. In past studies, this data has rarely been used to locate interference sources in SAR, and existing algorithms have low positioning accuracy.

[0005] In summary, obtaining high-quality SAR images and accurately locating SAR interference sources are unresolved technical problems that enable SAR systems to actively avoid interference or prevent different electromagnetic interferences from entering the receiver, thus enhancing the active anti-interference capability of SAR systems. Summary of the Invention

[0006] The purpose of this invention is to provide a dual-track synthetic aperture radar (SAR) interference source localization method, system, computer-readable storage medium, and electronic device, which can overcome the defects of the prior art and enhance the active anti-interference capability of the SAR system.

[0007] The technical solution adopted in this invention is as follows:

[0008] A method for locating interference sources using dual-track synthetic aperture radar includes:

[0009] Step S101: Perform interference detection on the echo data of the target area to determine whether interference exists;

[0010] Step S102: Extract the interference signal, eliminate the useful signal, and retain only the interference signal; Step S103: Perform azimuth weighting on the interference signal and fit the trend of interference signal intensity change.

[0011] Step S104: Locate the azimuth position with the highest interference signal radiation intensity and obtain the position factor;

[0012] Step S105: Repeat steps S101-S104 above to calculate the position factor of the interference in the two images of the dual track respectively;

[0013] Step S106: Perform geometric correction on the two images of the dual-track system;

[0014] In step S107, based on the geometric correction result obtained in step S106, the two corrected images are intersected according to the inclination angle of the dual-track orbit, and the location of the interference source can be obtained through the position factor.

[0015] In step S101, interference detection is performed on the echo data of the target area to determine whether interference exists. Specifically:

[0016] Based on the characteristics of the interference signal, it can be known that the interference generally has strong power, and the characteristic values ​​corresponding to the interference signal are all greater than the characteristic values ​​of the synthetic aperture radar signal.

[0017] Let N r and N a These represent the sampling points in the range and azimuth directions, respectively. i (τ r ), r = 1, 2, ..., N r i = 1, 2, ..., N a Substitute into the following matrix structure:

[0018]

[0019] Where L is the dimension of the subspace matrix, and M = N r +L-1; covariance matrix It can be represented as:

[0020] τ r For distance to fast time, S i (τ r) represents the signal characteristic value at each location and time.

[0021] Then, by performing eigenvalue decomposition, we can obtain: Where Λ = dia g (γ1, γ2, γ3, ..., γ L ), where γ is the eigenvalue and the eigenvector is E = [∈1, ∈2, ∈3, ..., ∈ L ];

[0022] By repeating the above process pulse by pulse, and after obtaining the maximum eigenvalue in each eigenvalue decomposition process, a sequence of maximum eigenvalues ​​can be obtained, which can be represented as:

[0023]

[0024] Where ξ i =max{γ1, γ2, γ3,…,γ L Each eigenvalue decomposition yields a ξ. i When the value is greater than the threshold α, the signal is considered to be interfered with; when it is less than the threshold α, there is no interference. Generally, the threshold α is taken as 2.

[0025] In step S102, the interference signal is extracted, the useful signal is eliminated, and only the interference signal is retained. Specifically:

[0026] Setting the non-interference signal portion to zero can be expressed by the following formula:

[0027]

[0028] At this point, only interference signals exist in the target area.

[0029] In step S103, the interference signal is weighted in the azimuth direction to fit the trend of the interference signal intensity change, specifically as follows:

[0030] The interference signal is weighted in the azimuth direction after interference extraction to obtain the intensity value P of the interference signal in the azimuth dimension:

[0031]

[0032] This represents N samples in the azimuth direction. a The strength of the interference signal at any given time.

[0033] In step S104, the azimuth position with the highest interference signal radiation intensity is found, and the position factor is obtained, specifically:

[0034] Let the position factor be x, then:

[0035] Among them, when When N reaches its maximum value,i =i

[0036] N i =i,N i This represents the moment when the signal strength reaches its maximum at a certain location.

[0037] In step S105, the location factor of the interference in the two images of the dual tracks is calculated using the above process, specifically as follows:

[0038] For the two sets of data representing the dual flight paths in the target area, the aforementioned interference detection is performed separately. If interference exists in both sets of data for the target area, the interference is extracted, and then the position factor is calculated to obtain the position factor x. A and x D .

[0039] In step S107, based on the geometric correction result obtained in step S106, the two images are intersected according to the inclination angle of the dual-track orbits. The location of the interference source can be obtained through the position factor. Specifically:

[0040] Based on the two images of the dual-track data after geometric correction, and according to the orbital inclination angle of the synthetic aperture radar system, the two images are cross-processed according to geographical coordinates to make some areas of the two images overlap. At this point, the overlapping part of the dual-track images can be considered as the location of the interference source. Then, based on the interference location factor x in the dual-track data obtained in step S105... A and x D Perform the following calculations:

[0041] I A =x A ×X A

[0042] I D =x D ×X D

[0043] Among them, X A and X D Let I be the total number of pixels in the azimuth direction of the two images of the dual-track system. A and I D That is, the azimuth position of the interference source in the synthetic aperture radar dual-track image is obtained by intersecting the azimuth positions of the two images, and the intersection point is the precise location of the interference source.

[0044] A dual-track synthetic aperture radar jamming source localization system includes:

[0045] The interference detection unit is configured to detect the presence of interference from the synthetic aperture radar data input to the system;

[0046] The interference extraction unit is configured to extract interference from the raw echo data, remove useful signals, and retain only interference signals.

[0047] The position factor calculation unit is configured to perform azimuth weighting on the interference signal, fit the intensity change of the signal transformation, and calculate the position factor.

[0048] The geometric correction unit is configured to process the original echo signal to obtain a synthetic aperture radar image, and to perform geometric correction on the two images of the dual track to make the image position consistent with the geographical location. The interference source cross-location unit is configured to use the geometric correction result to cross the two images according to the inclination angle of the dual track, and the precise position of the interference source can be obtained through the position factor.

[0049] A storage device storing multiple programs that are loaded and executed by a processor to implement the dual-track synthetic aperture radar jamming source localization method.

[0050] An electronic device includes a storage device and a processor; the processor is adapted to execute various programs; the memory is used to store multiple programs; when the memory executes the programs on the processor, it implements the aforementioned method for locating interference sources using dual-track synthetic aperture radar.

[0051] This invention first detects interference in the echo data of the target area to determine its presence, extracts the interference signal, eliminates useful signals, and retains only the interference signal. Then, it performs azimuth weighting on the interference signal, fits the trend of interference signal intensity changes, finds the azimuth position with the highest interference signal radiation intensity, and obtains the position factor. Through the above process, it calculates the position factor of the interference in two images of the dual-track system. Finally, it performs geometric correction on the two images of the dual-track system. Based on the obtained geometric correction results, it crosses the two images according to the inclination angle of the dual-track track, and obtains the location of the interference source through the position factor. This invention can accurately locate the geographical location of the interference source in synthetic aperture radar (SAR) images, which is beneficial for subsequent SAR systems to actively avoid interference sources or take measures in advance to prevent interference signals from entering the receiver, and can effectively reduce the impact of various electromagnetic interferences on SAR images. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a flowchart of the present invention;

[0054] Figure 2 The interference signal characteristics provided in the embodiments of the present invention;

[0055] Figure 3 This is a schematic diagram of two images showing the dual flight paths of a target area provided in an embodiment of the present invention;

[0056] Figure 4 This is a trend diagram of interference signal variation in dual-track data of the target area provided in this embodiment of the invention;

[0057] Figure 5 This is a schematic diagram illustrating the precise location results of the interference source provided in an embodiment of the present invention.

[0058] Figure 6 This is a block diagram illustrating the structural principle of the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] like Figure 1 , 2 As shown in Figures 3 and 4, the present invention includes the following steps:

[0061] Step S101: Perform interference detection on the echo data of the target area to determine whether interference exists;

[0062] Specifically, based on the characteristics of the interference signal, such as Figure 2 As shown, interference generally has strong power, and the characteristic values ​​of the interference signal are all greater than those of the synthetic aperture radar signal.

[0063] Let N r and N a These represent the sampling points in the range and azimuth directions, respectively. i (τ r ), r = 1, 2, ..., N r i = 1, 2, ..., N a Substitute into the following matrix structure:

[0064]

[0065] Where L is the dimension of the subspace matrix, and M = N r +L-1. Covariance matrix It can be represented as:

[0066]

[0067] Then, by performing eigenvalue decomposition, we can obtain: Among them, Λ=diag(γ1, γ2, γ3,…, γ L ), where γ is the eigenvalue and the eigenvector is E = [∈1, ∈2, ∈3, ..., ∈ L ].

[0068] By repeating the above process pulse by pulse, and after obtaining the maximum eigenvalue in each eigenvalue decomposition process, a sequence of maximum eigenvalues ​​can be obtained, which can be represented as:

[0069]

[0070] Where ξ i =max{γ1, γ2, γ3,…,γ L Each eigenvalue decomposition yields a ξ. i When this value is greater than the threshold α, the signal at that location is considered to be interfered with; when it is less than the threshold α, there is no interference. The threshold α is typically set to 2.

[0071] This step uses matrix operations to detect whether there is interference in the signal received by the synthetic aperture radar system, which facilitates further extraction and location of the interference.

[0072] Step S102: Extract the interference signal, eliminate the useful signal, and retain only the interference signal;

[0073] Specifically, since the useful signal will affect the positioning accuracy of the interference source in subsequent operations, this step sets the non-interference signal portion to zero, so that only the interference signal exists in the target matrix, which can be expressed by the following formula:

[0074]

[0075] At this point, the target area can be considered to contain only interference signals. In the subsequent analysis and localization of the interference, the influence of useful signals is eliminated, further improving the positioning accuracy.

[0076] Step S103: Perform azimuth weighting on the interference signal and fit the trend of interference signal intensity change;

[0077] Specifically, the azimuth-weighted signal after interference extraction is applied to obtain the intensity value P of the interference signal in the azimuth dimension:

[0078]

[0079] At this point, P represents the intensity of the interference signal at each azimuth time in the matrix, and the changing trend of the interference signal is fitted based on this intensity.

[0080] Step S104: Locate the azimuth position with the highest interference signal radiation intensity and obtain the position factor;

[0081] Specifically, the applicant proposed the concept of a location factor, which is the location where the interference source has the highest probability of being present.

[0082] Let the position factor be x, then:

[0083] x = N i / N a (6)

[0084] Among them, when When N reaches its maximum value, i =i

[0085]

[0086] Step S105: Using the above process, calculate the location factor of the interference in the two images of the dual track;

[0087] Specifically, based on the echo signals of the two tracks in the target area, interference detection is performed on them separately. If interference exists in the target area, subsequent interference extraction and position factor calculation are performed to obtain the position factor of the two track data, x. A and x D At this point, the azimuth position with the highest probability of the interference source being present is obtained. The two images of the target area's dual-track system are as follows: Figure 3 As shown. Figure 4 The trend of interference signal changes in dual-track data of the target area can be used to obtain the interference factor.

[0088] Step S106: Perform geometric correction on the two images of the dual-track system;

[0089] Specifically, since synthetic aperture radar (SAR) images are generally slant-range coordinate images, they are geometrically corrected to geographic coordinates to ensure that the image location matches the geographic location coordinates. Geometric correction is a fundamental operation in SAR image preprocessing and will not be elaborated upon here.

[0090] Step S107: Based on the geometric correction results obtained in step S106, the two images are intersected according to the inclination angle of the dual-track orbits, and the location of the interference source can be obtained through the position factor.

[0091] Specifically, based on the two images of the dual-track data after geometric correction, and according to the orbital inclination angle of the synthetic aperture radar system, the two images are cross-processed according to geographical coordinates, so that some areas of the two images overlap. At this point, the overlapping part of the dual-track images can be considered the location of the interference source. Then, based on the interference location factor x in the dual-track data calculated in step S105... A and xD Perform the following calculations:

[0092] I A =x A ×X A (8)

[0093] I D =x D ×X D (9)

[0094] Among them, X A and X D Let I be the total number of pixels in the azimuth direction of the two images of the dual-track system. A and I D This refers to the azimuth location of the interference source in the synthetic aperture radar dual-track image. The intersection of the azimuth locations in the two images reveals the precise location of the interference source.

[0095] like Figure 5 As shown, the synthetic aperture radar (SAR) images are cross-referenced according to geographical location and the acquisition trajectory inclination angle of the SAR system. The trajectory inclination angle of all the data shown is 98.18°. Based on I... A and I D The intersection of the azimuth and position is the precise location of the interference source. The actual geographical location here is an airport in a provincial capital, where interference is generally considered to be highly probable, consistent with basic understanding. Furthermore, the positioning accuracy is high, down to the pixel level. The accuracy varies depending on the resolution of the synthetic aperture radar system. In the current field of synthetic aperture radar interference source localization, traditional methods both domestically and internationally have low accuracy; this method significantly improves the positioning accuracy.

[0096] Exemplary System

[0097] Figure 6 This application also provides a dual-track synthetic aperture radar (SAR) interference source localization system, comprising: an interference detection unit configured to detect the presence of interference from SAR data input to the system; an interference extraction unit configured to extract interference from the original echo data, remove useful signals, and retain only the interference signal; a position factor calculation unit configured to perform azimuth weighting on the interference signal, fit the intensity change of the signal transformation, and calculate the position factor; a geometric correction unit configured to perform imaging processing on the original echo signal to obtain a SAR image, and perform geometric correction on the two images of the dual tracks to make the image position consistent with the geographical location; and an interference source cross-location unit configured to use the geometric correction result to cross the two images according to the inclination angle of the dual tracks, and obtain the precise position of the interference source through the position factor.

[0098] The dual-track synthetic aperture radar jamming source localization system provided in this application embodiment can realize the synthetic aperture radar jamming source localization steps and processes of any of the above dual-track data, and achieve the same technical effect, which will not be described in detail here.

[0099] Exemplary device

[0100] This application provides an electronic device, including a storage device and a processor. The processor is adapted to execute various programs; the memory is used to store multiple programs; when the memory executes the programs on the processor, it implements the dual-track synthetic aperture radar interference source localization method as described in any one of claims 1-7.

[0101] Since the steps for locating interference sources using dual-track synthetic aperture radar have been described in detail in the specific implementation method examples, they will not be repeated here.

[0102] The processor includes a Central Processing Unit (CPU), a Network Processor (NP), etc., and can also be a digital signal processor, an application-specific integrated circuit, an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor.

[0103] Specifically, the processor can be configured to: perform interference detection on the echo data of the target area to determine whether interference exists; extract the interference signal, eliminate the useful signal, and retain only the interference signal; perform azimuth weighting on the interference signal to fit the trend of interference signal intensity variation; find the azimuth position with the highest interference signal radiation intensity and obtain the position factor; calculate the position factor of the interference in the two images of the dual track using the above process; perform geometric correction on the two images of the dual track; and, based on the obtained geometric correction results, cross the two images according to the inclination angle of the dual track, and obtain the location of the interference source through the position factor.

[0104] It should be noted that, depending on the implementation needs, the various components / steps described in the embodiments of this application can be broken down into more components / steps, or two or more components / steps or parts of the operation of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of this application.

[0105] The methods described in the embodiments of this application can be implemented in hardware, firmware, or as software or computer code that can be stored in a recording medium (such as CD ROM, RAM, floppy disk, hard disk, or magneto-optical disk), or as computer code downloaded over a network that is originally stored in a remote recording medium or a non-transitory machine storage medium and will be stored in a local recording medium. Thus, the methods described herein can be processed by software stored on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It is understood that the computer, processor, microprocessor controller, or programmable hardware includes storage components (e.g., RAM, ROM, flash memory, etc.) capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the dual-track synthetic aperture radar jamming source localization method described herein is implemented. Furthermore, when a general-purpose computer accesses the code used to implement the methods shown herein, the execution of the code transforms the general-purpose computer into a dedicated computer for executing the methods shown herein.

[0106] Those skilled in the art will recognize that the units and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application of the technical solution and the constraints involved. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this application.

[0107] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments.

[0108] The device and system embodiments described above are merely illustrative. The units referred to as separate entities may or may not be physically separate. The entities mentioned as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0109] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0110] In the description of this invention, it should be noted that the directional terms such as "center", "lateral", "longitudinal", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", and "counterclockwise" indicate the orientation and positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. They should not be construed as limiting the specific protection scope of this invention.

[0111] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification and claims of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0112] Note that the above description is merely a preferred embodiment and application of the technical principles of the present invention. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the specific embodiments described herein, and may include many other effective embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for locating interference sources using dual-track synthetic aperture radar, characterized in that, include: Step S101: Perform interference detection on the echo data of the target area to determine whether interference exists; Step S102: Extract the interference signal, eliminate the useful signal, and retain only the interference signal; Step S103: Perform azimuth weighting on the interference signal and fit the trend of interference signal intensity change; Step S104: Locate the azimuth position with the highest interference signal radiation intensity and obtain the position factor; specifically: Let the position factor be ,but: , Among them, when When the maximum value is reached, at this time , , This represents the moment when the signal strength reaches its maximum at a certain location. and These represent sampling points in the distance and azimuth directions, respectively. The signal characteristic value representing each location and time; ; Step S105: Repeat steps S101-S104 above to calculate the position factor of the interference in the two images of the dual track respectively; Step S106: Perform geometric correction on the two images of the dual-track system; In step S107, based on the geometric correction result obtained in step S106, the two corrected images are intersected according to the inclination angle of the dual-track orbit, and the location of the interference source is obtained through the position factor.

2. The dual-track synthetic aperture radar interference source localization method according to claim 1, characterized in that, In step S101, interference detection is performed on the echo data of the target area to determine whether interference exists. Specifically: Based on the characteristics of the interference signal, it is known that the interference has strong power, and the characteristic values ​​corresponding to the interference signal are all greater than the characteristic values ​​of the synthetic aperture radar signal. make and These represent the sampling points in the range and azimuth directions, respectively. Substitute into the following matrix structure: ； in, It is the dimension of the subspace matrix, and Covariance matrix Represented as: , For distance to fast time, The signal characteristic value representing each location and time; Then, eigenvalue decomposition is performed to obtain: ;in, , The eigenvalues ​​are and the eigenvectors are . ; The above process is repeated pulse by pulse, and after obtaining the maximum eigenvalue in each eigenvalue decomposition process, the maximum eigenvalue sequence is obtained, represented as: ； in Each eigenvalue decomposition yields a When this value is greater than the threshold If the signal is below a certain threshold, then the signal at that location is considered to be interfered with. At that time, there is no interference, and the threshold is reached. Set it to 2.

3. The dual-track synthetic aperture radar interference source localization method according to claim 2, characterized in that, In step S102, the interference signal is extracted, the useful signal is eliminated, and only the interference signal is retained. Specifically: Setting the non-interference signal portion to zero is expressed by the following formula: ； At this point, only interference signals exist in the target area.

4. The dual-track synthetic aperture radar interference source localization method according to claim 3, characterized in that, In step S103, the interference signal is weighted in the azimuth direction to fit the trend of the interference signal intensity change, specifically as follows: The interference signal is then weighted in the azimuth direction to obtain the intensity value of the interference signal in the azimuth dimension. : , The representative is the azimuth sampling. The strength of the interference signal at any given time.

5. The dual-track synthetic aperture radar interference source localization method according to claim 1, characterized in that, In step S105, the location factor of the interference in the two images of the dual tracks is calculated using the above process, specifically as follows: For the two datasets of dual-track data in the target area, the aforementioned interference detection is performed separately. When interference exists in both datasets of the target area, the interference is extracted, and then the position factor is calculated to obtain the position factor. and .

6. The dual-track synthetic aperture radar interference source localization method according to claim 1, characterized in that, In step S107, based on the geometric correction result obtained in step S106, the two images are intersected according to the inclination angle of the dual-track orbits, and the location of the interference source is obtained through the position factor. Specifically: Based on the two images of the dual-track data after geometric correction, and according to the orbital inclination angle of the synthetic aperture radar system, the two images are cross-processed according to geographical coordinates to make some areas of the two images overlap. At this point, the overlapping part of the dual-track images is considered to be the location of the interference source. Then, the location factor of the interference in the dual-track data is calculated according to step S105. and Perform the following calculations: ； ； in, and These represent the total number of pixels in the azimuth direction of the two images of the dual-track system. We believe that... and That is, the azimuth position of the interference source in the synthetic aperture radar dual-track image is obtained by intersecting the azimuth positions of the two images, and the intersection point is the precise location of the interference source.

7. A dual-track synthetic aperture radar jamming source localization system, characterized in that, include: The interference detection unit is configured to detect the presence of interference from the synthetic aperture radar data input to the system; The interference extraction unit is configured to extract interference from the raw echo data, remove useful signals, and retain only interference signals. The position factor calculation unit is configured to perform azimuth weighting on the interference signal, fit the intensity change of the signal transformation, and calculate the position factor of the interference in the two images of the dual tracks respectively. The specific steps for calculating the location factor are as follows: Let the position factor be ,but: , Among them, when When the maximum value is reached, at this time , , This represents the moment when the signal strength reaches its maximum at a certain location. and These represent sampling points in the distance and azimuth directions, respectively. The signal characteristic value representing each location and time; ; The geometric correction unit is configured to process the original echo signal to obtain a synthetic aperture radar image, and to perform geometric correction on the two images of the dual track to make the image position consistent with the geographical location. The interference source cross-location unit is configured to use geometric correction results to cross two images according to the inclination angle of the dual-track orbit, and obtain the precise location of the interference source through the position factor.

8. A storage device storing a plurality of programs, characterized in that, The program application is loaded and executed by a processor to implement the dual-track synthetic aperture radar interference source localization method according to any one of claims 1-6.

9. An electronic device, comprising a storage device and a processor; the processor being adapted to execute various programs; the memory being used to store multiple programs; characterized in that, When the memory executes the program on the processor, it implements the dual-track synthetic aperture radar jamming source localization method as described in any one of claims 1-6.

Images