Signal processing method for multi-dimensional suppressing interference rapid interception response

Abstract

The invention particularly relates to a multi-dimensional suppressing interference rapid interception response signal processing method, which comprises the following steps of: setting energy and frequency detection after echo sampling, setting energy and frequency detection after digital down-conversion, setting signal feature detection after pulse compression and moving target indication, and setting statistical detection after CFAR (Constant False Alarm Rate) detection. Signal feature detection is set after moving target detection and SAR imaging. And based on the score of each detection module, control enabling of different priorities on the anti-interference function of the system, including an immediate dimension, a short-time dimension and a long-time dimension, is generated, so that the aim of rapidness is fulfilled. According to the method, the suppression interference is accurately and quickly identified in combination with the judgment standards of multiple dimensions, the anti-interference response is carried out at the fastest speed, and the anti-interference response is carried out at the fastest speed. The application can be well embedded into a conventional radar signal processing system, has the characteristics of strong universality, good real-time performance and high accuracy, and can be widely applied to the field of digital signal processing products.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, and specifically to a signal processing method with multi-dimensional interference suppression and rapid listening response capabilities. Background Technology

[0002] Counter-jamming capabilities have become an essential function in modern radar signal processing systems. The prerequisite for this function is the ability to determine the presence of jamming. Based on the frequency characteristics of the jamming, suppressive jamming is mainly divided into targeted jamming, jamming-based jamming, and frequency-sweeping jamming. Targeted jamming directly targets the target frequency and is characterized by high power and narrow bandwidth; jamming jamming is characterized by low power and wide bandwidth; and frequency-sweeping jamming is characterized by periodic changes in bandwidth and frequency. From the perspective of the signal receiver, the existence of jamming is a random event, and the frequency and amplitude of the jamming may exhibit discontinuities over time. Therefore, the timeliness of jamming detection and anti-jamming processing greatly affects the effectiveness of anti-jamming capabilities.

[0003] Currently, interference detection functions are independently distributed across various signal processing stages, including monitoring echo signal power, monitoring the quality of signals after CFAR, and detecting features in SAR imaging signals. Different monitoring methods exhibit significant differences in the accuracy and real-time performance of interference detection, which greatly influences the anti-interference response adopted. In special scenarios, variable interference signals place high demands on the real-time processing capabilities and accuracy of the processing system. A multi-dimensional interference suppression and rapid detection response system can not only accelerate detection response speed and possess strong timeliness, but also improve interference identification accuracy by combining multiple criteria, showing broad application prospects.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To address the problem of suppression interference detection in existing technologies, this invention provides a signal processing method with multi-dimensional suppression interference rapid listening response function. This method can accurately and quickly identify suppression interference by combining multiple decision criteria and respond to interference at the fastest speed.

[0006] Other features and advantages of the invention will become apparent from the following detailed description, or may be learned in part by practice of the invention.

[0007] According to a first aspect of the present invention, a signal processing method for multi-dimensional suppression of interference and rapid listening response is provided, the method comprising: The method, in a radar signal processing system, performs multi-dimensional interception of interference after echo acquisition, digital down-conversion, pulse compression, moving target indication, moving target detection, CFAR detection, and SAR imaging. Specifically, it includes: A first energy detection module and a first frequency detection module are set after echo sampling; a second energy detection module and a second frequency detection module are set after digital down-conversion; wherein, the first energy detection module, the first frequency detection module, the second energy detection module and the second frequency detection module constitute an immediate dimension detection system; A first signal feature detection module is set after pulse compression and moving target indication; the two first signal feature detection modules constitute a short-time dimension detection system. A statistical detection module is set after constant false alarm rate (CFAR); a second signal feature detection module is set after moving target detection and SAR imaging respectively; the statistical detection module and the two second signal feature detection modules constitute a long-term dimension detection system. The response type is determined based on the detection results of the immediate dimension detection system, the short-term dimension detection system, and the long-term dimension detection system.

[0008] In some exemplary embodiments, the first energy detection module is the same as the second energy detection module, specifically: detecting the power, total energy or signal amplitude of the echo signal, and directly judging any abnormal phenomenon exceeding the threshold as having suppression interference, and directly activating the sidelobe cancellation SLC function.

[0009] In some exemplary embodiments, the first frequency detection module and the second frequency detection module are the same, specifically: The frequency information is obtained by calculating the Fourier transform of the signal. Thresholds are set to monitor the amplitude of each frequency point. For interference signals that exist outside the transmission signal frequency band, they can be directly filtered out by adjusting the filter parameters during the filtering stage of DDC, depending on their intensity. For interference signals that are within the signal frequency band, they cannot be processed at the filtering level and the SLC function needs to be enabled. At this time, since the signal has not yet been canceled, the judgment result of the interference immediately takes effect within the current PRI, generating an immediate anti-interference response without delay, which belongs to the immediate dimension.

[0010] In some exemplary embodiments, the statistical detection module includes statistical judgments on the CFAR results.

[0011] In some exemplary embodiments, the second signal feature detection module is used after SAR imaging, specifically as follows: Image texture detection based on image features or detection and judgment of images based on deep learning models such as YOLO and convolutional neural networks.

[0012] In some exemplary embodiments, determining the response type based on the detection results of the immediate dimension detection system, the short-term dimension detection system, and the long-term dimension detection system specifically involves: The detection results of each detection module in the immediate dimension detection system, short-term dimension detection system, and long-term dimension detection system are integrated, and the control enable of the system's anti-interference function is generated with different priorities based on the integrated score.

[0013] In some exemplary embodiments, the integration of the detection results from each detection module, and the generation of control enablement for the system's anti-interference function with different priorities based on the integrated score, specifically involves: Each of the first energy detection module, the first frequency detection module, the second energy detection module, and the second frequency detection module has a score of 1; the sum of the scores of the immediate dimension detection system is the immediate dimension score. The first signal feature detection module has a detection score of 2, and the sum of the scores of the short-time dimension detection system is the short-time dimension score; The statistical detection module and the second signal feature detection module each scored 4, and the total score of the long-term dimension detection system is the long-term dimension score. When the immediate dimension score is equal to 4, an immediate anti-interference response is initiated directly; when the immediate dimension score is less than 4, but the sum of the scores of the immediate dimension and the short-time dimension is greater than or equal to 6, a short-time anti-interference response is initiated; when the total score is less than 6, but the total score of the three dimensions is greater than or equal to 10, a long-time anti-interference response is initiated. The priority of the three anti-interference responses is: immediate anti-interference response > short-time anti-interference response > long-time anti-interference response.

[0014] According to a second aspect of the present invention, a storage medium is provided having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the signal processing method for multi-dimensional suppression of interference and rapid listening response described in the first aspect.

[0015] According to a third aspect of the present invention, a computer program product is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, it implements the signal processing method for multi-dimensional suppression of interference and rapid listening response described in the first aspect above.

[0016] According to a fourth aspect of the present invention, an electronic device is provided, comprising: Processor; and Memory for storing the executable instructions of the processor; The processor is configured to implement the signal processing method for fast listening response to multi-dimensional interference suppression as described in the first aspect when executing the executable instructions.

[0017] The signal processing method for multi-dimensional suppression interference and rapid detection response provided by the embodiments of the present invention has the ability to independently, quickly, and accurately detect and suppress interference and make anti-interference responses. Furthermore, it can be well embedded in conventional radar signal processing systems without affecting system processing time or functionality. Compared with the prior art, it has the following beneficial effects: 1. To address different types of suppression interference, a multi-dimensional interference detection function is designed to improve detection accuracy.

[0018] 2. Based on the detection results from different dimensions, determine the fastest interference suppression method and respond accordingly to improve the timeliness of anti-interference.

[0019] 3. Design a listening subsystem for commonly used signal processing systems, and embed a fast listening response system for suppressing interference without affecting the original process.

[0020] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention. It is obvious that the drawings described below are merely some embodiments of the invention, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0022] Figure 1 Block diagram of signal processing system and multi-dimensional interference detection system; Figure 2 The operational methods and response modules for interference and eavesdropping from different dimensions; Figure 3 Characteristic interference signal waveforms and spectra; Figure 4 A multi-dimensional interference detection judgment block diagram; Figure 5 This is a flowchart of an aspect of the present invention. Detailed Implementation

[0023] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the invention will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0024] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0025] The main technical problem solved by this invention is to design an embeddable subsystem with multi-dimensional fast listening response function in a conventional radar signal processing system.

[0026] The solution to the technical problem of this invention is as follows: Without affecting the entire signal processing flow, a multi-dimensional interference suppression and monitoring system is designed to quickly and accurately detect and suppress interference, and to respond rapidly. The system is designed to address the different characteristics of signals at various stages of common digital signal processing algorithms, and to formulate interference judgment schemes. These include receiving echo signals, signals after digital down-conversion, signals after pulse compression, signals after moving target indication, signals after moving target detection, signals after CFAR processing, and images after SAR imaging. At different detection stages, multi-dimensional interference monitoring is performed, comprehensively analyzing the existence of interference and anti-interference schemes, and interference suppression is implemented in real time at each stage to achieve a fast, accurate, and effective result.

[0027] To address the shortcomings and deficiencies of existing technologies, this example embodiment provides a signal processing method for rapid detection and response to multi-dimensional interference suppression. It addresses the limitation on real-time anti-interference functionality caused by the absence of a complete interference suppression identification system in conventional radar signal processing systems. By embedding a multi-dimensional interference suppression and detection subsystem into a commonly used signal processing system, this system can adaptively assess interference suppression conditions, analyze the fastest and most effective anti-interference methods, and perform anti-interference operations in real time. It features fast response speed, strong real-time performance, and high accuracy.

[0028] This invention enables multi-dimensional monitoring of interference in conventional radar signal processing systems after echo reception, digital down-conversion, pulse compression, moving target indication, moving target detection, CFAR detection, and SAR imaging. It detects and suppresses the existence of interference and, based on the results of the multi-dimensional monitoring, controls and makes an effective anti-interference response.

[0029] Its detection methods include: energy detection, frequency detection, signal feature detection, and statistical detection. Energy detection methods include signal amplitude, signal power, and total received signal energy; frequency detection methods include amplitude detection based on the Fourier transform result of the signal; signal feature detection methods include signal feature extraction and matching in the distance and Doppler dimensions, as well as texture detection based on image feature detection and deep learning-based methods such as YOLO and convolutional neural networks from the field of image processing; statistical detection includes statistical judgment of CFAR results.

[0030] The detection results of each dimension are used to generate different priorities for controlling and enabling the system's anti-interference function through an integral system, including immediate, short-term, and long-term dimensions, in order to achieve the goal of speed.

[0031] Adaptive sidelobe cancellation on / off and real-time adjustment of filter parameters under multi-dimensional interference detection function control.

[0032] The following will describe the exemplary implementation method in more detail with reference to the accompanying drawings and embodiments.

[0033] See Figure 1 The basic signal processing flow is as follows: After sampling the echo signals from the main channel and auxiliary channel, they are first demodulated from the carrier wave through digital down-conversion. Depending on the presence or absence of suppression interference, it is determined whether sidelobe cancellation processing is required. Adaptive sidelobe cancellation is performed on the main channel signal using the auxiliary channel signal to suppress suppression interference. Next, the canceled signal or the uncancelled signal undergoes pulse compression to concentrate signal energy in the range dimension. The signal is split into two paths: one for SAR imaging to obtain image information, and the other for moving target indication and detection to obtain information such as the position and velocity of the moving target. Finally, CFAR detection is performed for the final decision.

[0034] This design incorporates a multi-dimensional interference detection system. Interference detection is performed after signal sampling, digital down-conversion, pulse compression, moving target indication, moving target detection, CFAR detection, and SAR imaging to achieve rapid and accurate interference assessment and response.

[0035] See Figure 2 , 3 4. A detailed description is provided regarding the multi-dimensional detection, anti-interference mechanisms, and response modules mentioned above.

[0036] 1. After sampling, the echo signal enters the first detection stage, which is performed using energy and frequency. Regarding energy, the power, total energy, or signal amplitude of the echo signal is directly detected. Excessively high anomalies can be directly identified as interference suppression, allowing the SLC (Side-Lobe Cancellation) function to be activated. Regarding frequency, the Fourier transform of the signal is calculated to obtain frequency information, and thresholds are set to monitor the amplitude at each frequency point. For interference signals outside the transmitted signal band, their intensity can be determined during the DDC filtering stage by adjusting filter parameters (e.g., stronger interference requires higher stopband attenuation, necessitating adjustment of the order to balance processing speed and effectiveness). For interference signals within the transmitted signal band, filtering is insufficient, requiring the activation of the side-lobe cancellation (SLC) function. Since the signal has not yet undergone cancellation, the interference judgment result immediately applies to the current PRI, generating a delay-free, immediate anti-interference response – this is an immediate dimension. For highly variable frequency-sweeping interference, this provides excellent real-time performance, but detection accuracy is low, and false detections are common.

[0037] 2. After digital down-conversion, the signal undergoes a second detection, based on energy and frequency. The detection method is the same as above, and the results directly affect the activation or deactivation of the SLC function. At this point, interference decisions are effective within the current PRI (Primary Parameter), representing an immediate dimension. Due to the filter's influence, the digitally down-converted signal only exhibits targeted interference or incompletely suppressed blocking interference within the transmit signal band, which cannot be suppressed by filtering.

[0038] 3. Since the signals after pulse compression and moving target indication are quite similar, according to the interference model, signals containing interference have obvious characteristics. For example... Figure 3 The diagram illustrates the impact of interference on the signal waveform under ideal conditions. The signal will exhibit significant fluctuations over distance. The presence of interference can be determined by comparing the characteristics of the echo signal waveform under ideal conditions (or without interference) with the actual echo signal fluctuation characteristics. Since the current PRI signal has already been used for interference determination, to ensure the real-time nature and effectiveness of the results, the determination result must be applied to the SLC module as early as the next PRI. This is a short-time dimension, which, compared to the immediate dimension, has reduced timeliness but improved accuracy.

[0039] 4. After moving target detection, the signal exhibits multiple spikes in both the range and Doppler dimensions due to interference suppression. The presence of interference can be determined through multi-peak signal feature detection. After CFAR, CFAR detection in both the range and Doppler dimensions, along with statistical analysis of multiple results, detects the presence of interference to control the SLC functional module. Long-term analysis utilizes the entire CPI signal or signals from multiple CPIs, achieving better detection accuracy and a lower false detection rate.

[0040] 5. Post-SAR imaging detection directly utilizes images for detection and judgment. This can involve image feature-based texture detection or deep learning methods such as the YOLO model and convolutional neural networks, enabling high-precision identification and judgment by computer. However, while significantly improving accuracy, this comes at the cost of a substantial increase in listening time, making it a long-term process.

[0041] 5. Based on the different dimensions of interference suppression and monitoring methods and their reliability, an interference detection scoring system can be derived, such as... Figure 4 .

[0042] In terms of accuracy, long-term dimension > short-term dimension > immediate dimension; in terms of timeliness, immediate dimension > short-term dimension > long-term dimension.

[0043] The four interference detection modules in the immediate dimension are fast, but their accuracy is lower than that of post-detection modules due to high uncertainty in energy and frequency judgment caused by noise, clutter, and target distance. Therefore, each module scores 1. The two detection modules in the short-time dimension perform better and have significantly improved detection accuracy due to suppression of clutter and noise, and signal enhancement and target removal. However, they are still subject to uncertainty caused by transient interference, resulting in a score of 2. The long-time dimension detection integrates the processing results of multiple CPI signals, making interference judgment more accurate, thus each module scores 4. The system can be manually intervened to enable or disable anti-interference functions. The total score for the detection system is 20 points.

[0044] To ensure the accuracy of interference detection across each dimension and improve the response speed of the anti-interference function, an immediate anti-interference response is initiated when the immediate dimension score is 4. A short-term anti-interference response is activated when the immediate dimension score is less than 4, but the sum of the immediate dimension score and the short-term dimension score is greater than or equal to 6. A long-term anti-interference response is activated when the total score is less than 6, but the total score across all three dimensions is greater than or equal to 10. The priority of the three anti-interference responses is: immediate anti-interference response > short-term anti-interference response > long-term anti-interference response. The score allocation and judgment criteria of the scoring system should be adjusted based on actual circumstances to adapt to the real-world environment.

[0045] In summary, through multi-dimensional interference detection capabilities, the system can effectively track and suppress frequency-sweeping interference with strong real-time performance. It can also quickly and accurately identify and suppress both blocking and targeted interference. The system combines the results from multiple detection modules to determine the fastest response method.

[0046] This invention addresses the issue of jamming by proposing a multi-dimensional jamming suppression and rapid detection response signal processing method that can be embedded in conventional radar signal processing systems. This method features high accuracy, good real-time performance, and rapid response. The system can effectively suppress jamming, demonstrating operability and reliability, and is expected to significantly improve the effectiveness and real-time performance of anti-jamming capabilities.

[0047] It should be noted that, as another aspect, this application also provides a storage medium, which may be included in an electronic device or may exist independently without being assembled into the electronic device. The storage medium carries one or more programs, which, when executed by an electronic device, cause the electronic device to perform the methods described in the following embodiments.

[0048] In one embodiment, this application provides a computer program product including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0049] Furthermore, the above figures are merely illustrative of the processes included in the method according to exemplary embodiments of the present invention, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal order of these processes. Additionally, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0050] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the claims.

[0051] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is defined only by the appended claims.

Claims

1. A signal processing method for multi-dimensional interference suppression and rapid listening response, characterized in that, The method, in a radar signal processing system, performs multi-dimensional interception of interference after echo acquisition, digital down-conversion, pulse compression, moving target indication, moving target detection, CFAR detection, and SAR imaging. Specifically, it includes: A first energy detection module and a first frequency detection module are set after echo sampling; a second energy detection module and a second frequency detection module are set after digital down-conversion; wherein, the first energy detection module, the first frequency detection module, the second energy detection module and the second frequency detection module constitute an immediate dimension detection system; A first signal feature detection module is set after pulse compression and moving target indication; the two first signal feature detection modules constitute a short-time dimension detection system. A statistical detection module is set after constant false alarm rate (CFAR); a second signal feature detection module is set after moving target detection and SAR imaging respectively; the statistical detection module and the two second signal feature detection modules constitute a long-term dimension detection system. The response type is determined based on the detection results of the immediate dimension detection system, the short-term dimension detection system, and the long-term dimension detection system.

2. The signal processing method for multi-dimensional interference suppression and fast listening response according to claim 1, characterized in that, The first energy detection module is the same as the second energy detection module, specifically: detecting the power, total energy or signal amplitude of the echo signal, and directly judging any abnormal phenomena exceeding the threshold as having suppression interference, and directly activating the sidelobe cancellation SLC function.

3. The signal processing method for multi-dimensional interference suppression and fast listening response according to claim 1, characterized in that, The first frequency detection module is the same as the second frequency detection module, specifically: The frequency information is obtained by calculating the Fourier transform of the signal. Thresholds are set to monitor the amplitude of each frequency point. For interference signals that exist outside the transmission signal frequency band, they can be directly filtered out by adjusting the filter parameters during the filtering stage of DDC, depending on their intensity. For interference signals that are within the signal frequency band, they cannot be processed at the filtering level and the SLC function needs to be enabled. At this time, since the signal has not yet been canceled, the judgment result of the interference immediately takes effect within the current PRI, generating an immediate anti-interference response without delay, which belongs to the immediate dimension.

4. The signal processing method for multi-dimensional interference suppression and rapid listening response according to claim 1, characterized in that, The statistical detection module includes statistical judgments on CFAR results.

5. The signal processing method for multi-dimensional interference suppression and fast listening response according to claim 1, characterized in that, The second signal feature detection module is used after SAR imaging, specifically as follows: Image texture detection based on image features or detection and judgment of images based on deep learning models such as YOLO and convolutional neural networks.

6. The signal processing method for multi-dimensional interference suppression and fast listening response according to claim 1, characterized in that, The determination of the response type based on the detection results of the immediate dimension detection system, the short-time dimension detection system, and the long-time dimension detection system is specifically as follows: The detection results of each detection module in the immediate dimension detection system, short-term dimension detection system, and long-term dimension detection system are integrated, and the control enable of the system's anti-interference function is generated with different priorities based on the integrated score.

7. The signal processing method for multi-dimensional interference suppression and fast listening response according to claim 6, characterized in that, The process involves integrating the detection results from each detection module and then enabling different priorities for the system's anti-interference function based on the integrated scores. Specifically: Each of the first energy detection module, the first frequency detection module, the second energy detection module, and the second frequency detection module has a score of 1; the sum of the scores of the immediate dimension detection system is the immediate dimension score. The first signal feature detection module has a detection score of 2, and the sum of the scores of the short-time dimension detection system is the short-time dimension score; The statistical detection module and the second signal feature detection module each scored 4, and the total score of the long-term dimension detection system is the long-term dimension score. When the immediate dimension score is equal to 4, an immediate anti-interference response is initiated directly; when the immediate dimension score is less than 4, but the sum of the scores of the immediate dimension and the short-time dimension is greater than or equal to 6, a short-time anti-interference response is initiated; when the total score is less than 6, but the total score of the three dimensions is greater than or equal to 10, a long-time anti-interference response is initiated. The priority of the three anti-interference responses is: immediate anti-interference response > short-time anti-interference response > long-time anti-interference response.

8. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the signal processing method for fast listening response to multi-dimensional interference suppression as described in any one of claims 1 to 7.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the signal processing method for multi-dimensional suppression of interference and rapid listening response as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, include: processor; as well as Memory for storing the executable instructions of the processor; The processor is configured to execute the signal processing method for fast listening response to multi-dimensional interference suppression as described in any one of claims 1 to 7 by executing the executable instructions.

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