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

Abstract

The present invention provides a single-bit SAR interference suppression method, system, computer device and medium, belonging to the technical field of radar signal processing. The method includes the following steps: receiving a signal through a single signal receiving channel; performing single-bit quantization on the received signal to convert 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; constructing an interference suppression model based on the real signal and solving the model to achieve interference suppression and separate real targets and false targets; presenting the separated real targets and false targets. The present invention takes a single-channel SAR as the application background and single-bit signals as the implementation basis, has lower implementation costs and greater applicability, and can meet the requirements of SAR deception interference suppression on resource-constrained platforms.

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. However, with the increasing richness of interference means against SAR systems, especially deception interference, it poses a great threat to SAR information acquisition.

[0003] Currently, the existing SAR deception interference suppression technologies mainly have the following problems:

[0004] (1) The active anti-interference signal pattern is complex and costly: In previous studies, 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 as the hardware performance of the jammer improves, the anti-interference effect will gradually fail.

[0005] (2) The passive interference suppression system architecture is complex and its application is limited: Another way to counter deception interference is to receive signals through a multi-channel method 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 a complex multi-channel system architecture to support, and it is difficult to apply to more common single-channel SAR systems.

[0006] (3) There is a lack of anti-interference means on small platforms and the demand is urgent: With the rapid development and application of small and unmanned platforms such as drones 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.

[0007] In summary, the lack of rapid application and deception interference suppression methods for lightweight SAR systems on small platforms limits their ability to identify and extract target information in interference scenarios. Therefore, there is an urgent need to conduct research on lightweight and efficient deception interference suppression methods for SAR on small and unmanned platforms. Summary of the Invention

[0008] 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.

[0009] To achieve the above object, the present invention provides a single-bit SAR interference suppression method, including the following steps:

[0010] Receive signals using a single signal receiving channel;

[0011] Perform single-bit quantization on the received signals to convert them into single-bit signals;

[0012] Combine and organize the single-bit signals, extract the real and imaginary parts of the single-bit signals and arrange them into a real number sequence to form a real signal;

[0013] Construct an interference suppression model based on the real signal and solve the model to achieve interference suppression, separating real targets and false targets;

[0014] Present the separated real targets and false targets.

[0015] Preferably, the received signals include 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 to convert them into single-bit signals .

[0016] Preferably, the calculation formula of the real signal is as follows:

[0017] ;

[0018] where represents the real signal; represents the real part of the single-bit signal and represents the imaginary part of the single-bit signal .

[0019] Preferably, the interference suppression model is as follows:

[0020] ;

[0021] where denotes the error, denotes vectors of length N, which are respectively the azimuth one-dimensional images of the true target and the false target to be reconstructed after single-bit quantization, denotes that the N×N matrix is the feature dynamic representation dictionary.

[0022] The present invention also provides a single-bit SAR interference suppression system, including:

[0023] A signal receiving module, configured to receive signals through a signal receiving channel;

[0024] A quantization module, configured to perform single-bit quantization on the signals received by the signal receiving module;

[0025] A signal processing module, configured to combine and organize the quantized single-bit signals;

[0026] 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 the true target and the false target;

[0027] A result presentation module, configured to present the separated true target and false target.

[0028] Preferably, the quantization module includes two comparators, which are respectively configured to perform single-bit quantization on the I and Q channels of the signals received by the signal receiving module.

[0029] The present invention also provides a computer device, including a memory and a processor, where 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 as described above.

[0030] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the single-bit SAR interference suppression method as described above.

[0031] Therefore, the present invention adopts the above single-bit SAR interference suppression method, system, computer device and medium, and the beneficial technical effects are as follows:

[0032] (1) Taking single-channel SAR as the application background. In the existing research on deception interference suppression, either the interference cost is increased by parameter agility, or multiple channels are introduced to obtain the differences between the interference signal and the true echo in different channels. The former increases the complexity of imaging processing while increasing the interference cost, and as the hardware performance of the jammer improves, the anti-interference effect will gradually fail; the latter requires the support of an expensive and complex system architecture, 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 the target, with lower implementation cost and greater applicability.

[0033] (2) Based on single-bit signals. Most existing suppression methods for SAR deception jamming are based on high-precision quantization 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 data collected by SAR is extremely large, and the processing burden of this large amount of data limits the applicability of traditional methods on small and unmanned platforms. The present invention is based on single-bit SAR, and studies the identification of deception jamming and the separation and reconstruction of targets 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 jamming suppression on resource-constrained platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flowchart of the single-bit SAR interference suppression method of the present invention;

[0035] Figure 2 is the result of deception jamming; among them, Figure 2 in (a) is the imaging result of the real target; Figure 2 in (b) is the imaging result after interference;

[0036] Figure 3 is the result of target separation and reconstruction under deception jamming; 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. DETAILED DESCRIPTION OF THE INVENTION

[0037] The technical solutions of the present invention will be further described below with reference to the drawings and embodiments.

[0038] Unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the ordinary meanings understood by those of ordinary skill in the field to which the present invention belongs.

[0039] Embodiment 1

[0040] As Figure 1 shown, it is a flowchart of the single-bit SAR interference suppression method of the present invention, including the following steps:

[0041] Use a signal receiving channel to receive signals , 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 .

[0042] Combine and arrange 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;

[0043] The calculation formula of the real signal is as follows:

[0044] ;

[0045] Among them, represents a real signal; represents the real part of a single-bit signal and represents the imaginary part of a single-bit signal .

[0046] Construct an interference suppression model based on the real signal, solve the model to achieve interference suppression, and separate the real target and the false target;

[0047] The interference suppression model is as follows:

[0048] ;

[0049] Among them, represents the error, represents a vector of length N, which are the azimuth one-dimensional images of the real target and the false target to be reconstructed after single-bit quantization respectively, represents an N×N matrix as the feature dynamic characterization dictionary.

[0050] Present the separated real target and false target.

[0051] The present invention will be further described below through specific examples.

[0052] 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, speed 150 m / s, Doppler bandwidth 300 Hz), imaging of an armored vehicle is performed, and the real target imaging result 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 by the present invention, the real target and the false target can be separated and reconstructed, and the result as shown in Figure 3 is obtained. Among them, Figure 3 (a) in Figure 3 is the real target reconstruction result;

[0053] Embodiment 2

[0054] The single-bit SAR interference suppression system includes:

[0055] A signal receiving module for receiving signals through a signal receiving channel;

[0056] A quantization module for performing single-bit quantization on the signals received by the signal reception module;

[0057] The quantization module includes two comparators, which are respectively used to perform single-bit quantization on the I and Q channels of the signals received by the signal reception module.

[0058] A signal processing module for combining and organizing the quantized single-bit signals;

[0059] 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;

[0060] A result presentation module for presenting the separated real targets and false targets.

[0061] 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 a 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 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 that can store program codes.

[0062] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a sequenced 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 combination with these instruction execution systems, apparatus, 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 connection with an instruction execution system, apparatus, or device.

[0063] More specific examples (nonexhaustive list) of computer-readable media include the following: electrical connections (electronic devices) having one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable media 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, followed by editing, interpretation, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0064] It should be noted that the content not elaborated in detail in the present invention is prior art and well-known to those skilled in the art.

[0065] Therefore, the present invention adopts the above 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, having lower implementation costs and greater applicability, and can meet the requirements of SAR deception interference suppression on resource-constrained platforms.

[0066] 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 It includes the following steps: Use a signal receiving channel to receive signals; Perform single-bit quantization on the received signals to convert them into single-bit signals; Combine and organize the single-bit signals, extract the real and imaginary parts of the single-bit signals and arrange them into a real number sequence to form a real signal; Construct an interference suppression model based on the real signal and solve the model to achieve interference suppression and separate real targets and false targets; Present the separated real targets and false targets; Received signal It includes two I / Q channels. A comparator is used to perform single-bit quantization on the signals collected on the two I / Q channels respectively, and convert them into single-bit signals ; The calculation formula of the real signal is as follows: ； Among them, represents a real signal; represents the real part of a single-bit signal and represents the imaginary part of a single-bit signal. The interference suppression model is as follows: ； Among them, represents the error, represents a vector of length N, which are respectively the azimuth one-dimensional images of the true target and the false target to be reconstructed after single-bit quantization, represents an N×N matrix, which is the feature dynamic representation dictionary.

2. Single-bit SAR interference suppression system, characterized in that, For implementing the single-bit SAR interference suppression method as described in claim 1, it includes: A signal receiving module for receiving signals through a 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.

3. The single-bit SAR interference suppression system according to claim 2, characterized in that 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.

4. A computer device, characterized in that, It includes 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 in claim 1.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the single-bit SAR interference suppression method as described in claim 1.

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