Single-bit SAR interference suppression method and system, computer equipment and medium

Abstract

The invention provides a single-bit SAR interference suppression method and system, computer equipment and a medium, and belongs to the technical field of radar signal processing. The method comprises the following steps of: receiving a signal by adopting a signal receiving channel; performing single-bit quantization on the received signal, and converting the signal into a single-bit signal; combining and arranging the single-bit signals, taking out real parts and imaginary parts of the single-bit signals, and arranging the real parts and imaginary parts into a real number sequence to form real signals; constructing an interference suppression model based on the real signal, solving the model to realize interference suppression, and separating a real target and a false target; and presenting the separated real target and false target. According to the method, the single-channel SAR is used as the application background, the single-bit signal is used as the implementation basis, the implementation cost is lower, the applicability is higher, and the SAR deception jamming suppression requirement on a resource-limited platform can be met.

Description

Technical Field

[0001] The present invention relates to the technical field of radar signal processing, and in particular to a single-bit SAR interference suppression method, system, computer device and medium. Background Art

[0002] Synthetic Aperture Radar (SAR) can perform reliable all-weather and all-day perception in harsh and complex environments, and has the advantages of long-distance and high-resolution imaging. It has been widely used in military and civilian fields, such as disaster assessment, resource exploration, geographical mapping, reconnaissance and surveillance, etc. However, with the increasing richness of interference means against SAR systems, especially deception interference, it has brought a huge threat to SAR information acquisition.

[0003] Currently, the existing SAR deception interference suppression technologies mainly have the following problems: (1) The active anti-interference signal pattern is complex and the cost is high: In previous studies, in order to improve the ability of the SAR system to counter deception interference, a parameter agility mechanism was often introduced when the radar transmitted signals, increasing the difficulty for the deception jammer to intercept the radar signals. Although this method can limit deception interference to a certain extent, the complex transmitted signal pattern also increases the imaging processing burden, and with the improvement of the jammer's hardware performance, the anti-interference effect will gradually fail.

[0004] (2) The passive interference suppression system architecture is complex and the application is limited: Another way to counter deception interference is to receive signals in a multi-channel manner when receiving signals, and use the difference characteristics of deception interference and target echoes in the spatial domain to identify interference targets. However, such methods require the support of a complex multi-channel system architecture and are difficult to apply to more common single-channel SAR systems.

[0005] (3) Lack of anti-interference means on small platforms and urgent needs: With the rapid development and application of small and unmanned platforms such as unmanned aerial vehicles and unmanned vehicles, the SAR system can cover a wider detection range in a more flexible working mode, meeting the diverse needs of modern battlefields and civilian fields. However, when facing deception interference, traditional anti-interference measures are difficult to apply to small and unmanned platforms due to complex processing and large resource consumption. The contradiction between the limited platform payload and resources and the complexity of traditional deception interference suppression methods makes it difficult to effectively respond to interference scenarios, and there is an urgent need to carry out research on deception interference suppression technologies for lightweight SAR systems.

[0006] In summary, the rapid application of lightweight SAR systems on small platforms and the lack of deception interference suppression methods limit their ability to identify and extract target information in interference scenarios. Therefore, there is an urgent need to research lightweight and high-efficiency deception interference suppression methods for small and unmanned platform SARs. Summary of the Invention

[0007] The object of the present invention is to provide a single-bit SAR interference suppression method, system, computer device and medium. Based on the application background of single-channel SAR and the implementation basis of single-bit signals, it has lower implementation costs and greater applicability, and can meet the requirements of SAR deception interference suppression on resource-constrained platforms.

[0008] To achieve the above object, the present invention provides a single-bit SAR interference suppression method, including the following steps: Receiving signals through a single signal receiving channel; Performing single-bit quantization on the received signals to convert them into single-bit signals; Combining and arranging the single-bit signals, taking out the real and imaginary parts of the single-bit signals and arranging them into a real number sequence to form a real signal; Constructing an interference suppression model based on the real signal and solving the model to achieve interference suppression, separating the real target and the false target; Presenting the separated real target and false target.

[0009] Preferably, the received signal Includes two I / Q channels, and a comparator is used to perform single-bit quantization on the signals collected on the two I / Q channels respectively to convert them into single-bit signals .

[0010] Preferably, the calculation formula of the real signal is as follows: ; Wherein, Represents the real signal; Represents the single-bit signal Of the real part, Represents the single-bit signal Of the imaginary part.

[0011] Preferably, the interference suppression model is as follows: ; Wherein, Represents the error, Represents a vector of length N, which are respectively the azimuth one-dimensional images of the real target and the false target to be reconstructed after single-bit quantization, Represents an N×N matrix as the feature dynamic characterization dictionary.

[0012] The present invention also provides a single-bit SAR interference suppression system, including: A signal receiving module for receiving signals through a single signal receiving channel; A quantization module for performing single-bit quantization on the signals received by the signal receiving module; A signal processing module for combining and organizing the quantized single-bit signals. An interference suppression module for constructing an interference suppression model based on the organized signals, and solving the model to achieve interference suppression and separate real targets and false targets. A result presentation module for presenting the separated real targets and false targets.

[0013] Preferably, the quantization module includes two comparators, which are respectively used for performing single-bit quantization on the I and Q channels of the signals received by the signal receiving module.

[0014] The present invention also provides a computer device, including a memory and a processor. The memory is used for storing instructions, and the processor is used for executing the instructions to implement the single-bit SAR interference suppression method as described above.

[0015] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the single-bit SAR interference suppression method as described above.

[0016] Therefore, the present invention adopts the above-mentioned single-bit SAR interference suppression method, system, computer device and medium, and the beneficial technical effects are as follows: (1) Taking single-channel SAR as the application background. In the existing research on deception interference suppression, either parameter agility is used to increase the cost of interference, or multiple channels are introduced to obtain the differences between interference signals and real echoes in different channels. The former increases the complexity of imaging processing while increasing the cost of interference, and as the hardware performance of the jammer improves, the anti-interference effect will gradually fail; the latter requires expensive and complex system architectures to support, and the applicable range is limited. The present invention takes single-channel SAR as the application background and studies how to effectively use single-channel SAR data to identify deception interference and separate and reconstruct targets, with lower implementation costs and greater applicability.

[0017] (2) Taking single-bit signals as the implementation basis. Most of the existing SAR deception interference suppression is based on high-precision quantized data for interference feature extraction and suppression. Due to the large bandwidth of SAR signals and the requirements of the sampling theorem, the amount of SAR acquisition data is extremely large, and this big data processing burden limits the applicability of traditional methods on small and unmanned platforms. The present invention takes single-bit SAR as the implementation basis and studies deception interference identification and target separation and reconstruction under low-quantization data, reducing the burden of data acquisition, storage, transmission, and processing from the source, and can meet the requirements of SAR deception interference suppression on resource-constrained platforms. Description of the Drawings

[0018] Figure 1It is the flowchart of the single-bit SAR interference suppression method of the present invention; Figure 2 is the spoofing interference result; among them, Figure 2 in (a) is the imaging result of the real target; Figure 2 in (b) is the imaging result after interference; Figure 3 is the target separation and reconstruction result under spoofing interference; among them, Figure 3 in (a) is the reconstruction result of the real target; Figure 3 in (b) is the reconstruction result of the false target. Specific implementation mode

[0019] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0020] Unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meaning understood by those with ordinary skills in the field to which the present invention belongs.

[0021] Embodiment 1 As Figure 1 shown, it is the flowchart of the single-bit SAR interference suppression method of the present invention, including the following steps: Use a signal receiving channel to receive the signal , and this signal includes two paths of I / Q. Use a comparator to perform single-bit quantization on the signals collected on the two paths of I / Q respectively, and convert them into single-bit signals .

[0022] Combine and sort the single-bit signals, take out the real part and the imaginary part of the single-bit signals and arrange them into a real number sequence to form a real signal; The calculation formula of the real signal is as follows: ; Among them, represents the real signal; represents the real part of the single-bit signal , represents the imaginary part of the single-bit signal .

[0023] Construct an interference suppression model based on the real signal, and solve this model to achieve interference suppression, and separate the real target and the false target; The interference suppression model is as follows: ; Among them, represents the error, represents a vector with a length of N, which are the azimuth one-dimensional images of the real target and the false target to be reconstructed after single-bit quantization respectively, It is indicated that the N×N matrix is the dictionary of eigen-dynamic representations.

[0024] Present the separated real targets and false targets.

[0025] The present invention will be further described below through specific examples.

[0026] When the radar parameters are as follows (bandwidth 300 MHz, pulse width 0.01 , chirp rate 3×10 15 Hz / s, wavelength 0.03 m, synthetic aperture length 1 m, beam width 0.03 rad, nearest slant range 10 km, velocity 150 m / s, Doppler bandwidth 300 Hz), imaging is performed on an armored vehicle, and the imaging result of the real target as shown in (a) of Figure 2 can be obtained. After the SAR is spoofed and jammed, the imaging result is as shown in (b) of Figure 2 , and at this time, the real target cannot be distinguished from the figure. After being processed by the method proposed in the present invention, the real target and the false target can be separated and reconstructed to obtain the result shown in Figure 3 , where Figure 3 in (a) is the reconstructed result of the real target; Figure 3 in (b) is the reconstructed result of the false target, achieving good interference separation.

[0027] Embodiment 2 A single-bit SAR interference suppression system, comprising: A signal receiving module, configured to receive a signal through a signal receiving channel; A quantization module, configured to perform single-bit quantization on the signal received by the signal receiving module; The quantization module includes two comparators, respectively configured to perform single-bit quantization on the I and Q channels of the signal received by the signal receiving module.

[0028] A signal processing module, configured to combine and organize the quantized single-bit signals; An interference suppression module, configured to construct an interference suppression model based on the organized signals and solve the model to achieve interference suppression and separate real targets and false targets; A result presentation module, configured to present the separated real targets and false targets.

[0029] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0030] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0031] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection part with one or more wirings (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), fiber optic device, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as necessary, and then storing it in a computer memory.

[0032] It should be noted that the content not elaborated in detail in the present invention is all prior art and is well-known to those skilled in the art.

[0033] Therefore, the present invention adopts the above-mentioned single-bit SAR interference suppression method, system, computer device and medium. With single-channel SAR as the application background and single-bit signals as the implementation basis, it has a lower implementation cost and greater applicability, and can meet the requirements of SAR deception interference suppression on resource-constrained platforms.

[0034] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical solutions of the present invention, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A single-bit SAR interference suppression method, characterized in that: The following steps are involved: A signal receiving channel is used to receive the signal; Performing single-bit quantization on the received signal and converting it into a single-bit signal; Combining and arranging the single-bit signal, taking out the real part and the imaginary part of the single-bit signal and arranging them into a real number sequence to form a real signal; Construct an interference suppression model based on real signals, and solve the model to achieve interference suppression and separate real targets from false targets; The separated real targets and false targets are presented.

2. The single-bit SAR interference suppression method according to claim 1, characterized in that: Receiving Signals It includes two channels, I and Q. A comparator is used to quantize the signals collected on the two channels into single bits and convert them into single-bit signals. .

3. The single-bit SAR interference suppression method according to claim 1, characterized in that: The calculation formula for real signal is as follows: ； in, represents a real signal; Indicates a single-bit signal The real part of Indicates a single-bit signal The imaginary part of .

4. The single-bit SAR interference suppression method according to claim 3, characterized in that: The interference suppression model is as follows: ； in, Indicates the error, represents a vector of length N, which are the one-dimensional images of the real target and the false target to be reconstructed after single-bit quantization, Represents an N×N matrix, which is a feature dynamic representation dictionary.

5. A single-bit SAR interference suppression system, characterized in that: include: A signal receiving module, used for receiving a signal through a signal receiving channel; A quantization module, used for performing single-bit quantization on the signal received by the signal receiving module; A signal processing module, used for combining and arranging the quantized single-bit signals; An interference suppression module is used to construct an interference suppression model based on the sorted signal and solve the model to achieve interference suppression and separate real targets from false targets; The result presentation module is used to present the separated real targets and false targets.

6. The single-bit SAR interference suppression system according to claim 5, characterized in that: The quantization module includes two comparators, which are used to perform single-bit quantization on the I\Q paths of the signal received by the signal receiving module.

7. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store instructions, and the processor is used to execute the instructions to implement the single-bit SAR interference suppression method according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the single-bit SAR interference suppression method according to any one of claims 1 to 4 is implemented.

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