A Non-Uniform Sampling Repeat Forwarding Interference Method and System Based on Insect Population Mapping

Abstract

This application provides a non-uniform sampling repeated forwarding jamming method and system based on insect mouth mapping, relating to the field of signal processing. The method includes: intercepting a radar signal; down-converting the radar signal to obtain an LFM radar signal; obtaining sequence A through insect mouth mapping and determining the forwarding delay duration; obtaining a non-uniform sampling signal with a duty cycle of 0.5 through sequence A; obtaining an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal; delaying the intermittent sampling signal according to the forwarding delay duration corresponding to the non-uniform sampling signal to obtain multiple delayed signals; adding the multiple delayed signals to obtain a total jamming signal; performing digital-to-analog conversion and up-conversion processing on the total jamming signal, and transmitting it through a transmitting antenna to achieve jamming of the radar signal. This method can achieve the goal of increasing the irregularity and number of deceiving false targets, as well as expanding the suppression area, thereby improving the jamming effect.

Description

Technical Field

[0001] This application relates to the field of signal processing, and in particular to a non-uniform sampling repeated forwarding interference method and system based on insect mouth mapping. Background Technology

[0002] Linear frequency modulation (LFM) pulse compression radar has wide applications due to its excellent power advantage and insensitivity to echo Doppler. Driven by the development of Digital Radio Frequency Memory (DRFM) technology, jamming techniques have also advanced rapidly. Traditional analog jamming has been transformed into digital jamming, where the relayed signal has high coherence with the original signal, and the jammed signal has good correlation, giving the jamming both suppression and deception characteristics. This effectively counters radar pulse compression systems, achieving high power utilization and good jamming effect. Therefore, research on intermittent sampling and relay jamming techniques based on DRFM technology for LFM pulse compression radar is of great significance.

[0003] The implementation process for traditional intermittent sampling and repeated forwarding interference includes the following steps:

[0004] First, the target signal is intermittently sampled using a uniform sampling signal, meaning the signal is acquired at regular time intervals. Then, the acquired signals are stored and repeatedly forwarded at specific times. By selecting appropriate sampling and forwarding intervals, the forwarded interference signal can be superimposed on the target signal, interfering with the normal operation of the receiving equipment and achieving the interference effect. This method utilizes the characteristics of the target signal to make the interference signal appear more realistic. However, due to the uniform sampling and forwarding, the final group of fake targets after pulse compression processing exhibits completely identical amplitudes and uniform intervals between each fake target, thus reducing the interference capability of this method.

[0005] The implementation process for non-uniform intermittent sampling and repeated forwarding interference is as follows: First, a non-uniform sampling time interval is generated using a pseudo-random m-sequence, and the target signal is sampled non-uniformly. Then, the collected signal is stored and repeatedly forwarded according to the time intervals determined by the m-sequence. In this way, the interference signal exhibits a non-uniform distribution in time, making it more difficult to detect and identify, thereby improving the interference effect. This technique often uses the m-sequence as the source of the non-uniform sampling signal. The generation of the m-sequence depends on the initial state; if the initial state is not random enough or predictable, the generated sequence will lose its pseudo-randomness.

[0006] Existing Chinese patent CN117169824A relates to a radar smart jamming generation method and system based on chaotic sampling. It utilizes smart noise signals to convolve and modulate intermittent chaotic sampling signals to generate chaotic smart jamming signals. Then, it generates modulated chaotic smart jamming signals through delay modulation and frequency offset modulation. Smart noise convolution modulation significantly improves the normalization amplitude of secondary false targets, greatly increasing the effective number of false targets and overcoming the shortcomings of uniform distribution of multiple false targets and rapid attenuation of secondary false targets. However, this noise convolution jamming method based on chaotic sequences is limited by the radar signal pulse width, reducing the target suppression range and resulting in poor jamming effectiveness. Summary of the Invention

[0007] The purpose of this invention is to address the problem of poor interference performance of existing noise convolution interference methods based on chaotic sequences, and to provide a non-uniform sampling repeated forwarding interference method and system based on insect mouth mapping.

[0008] The above-mentioned objective of this application is achieved through the following technical solution:

[0009] S1: Intercept the radar signal, perform down-conversion processing on the radar signal to obtain the LFM radar signal;

[0010] S2: Obtain sequence A through insect mouth mapping to determine the forwarding delay duration;

[0011] S3: Obtain a non-uniform sampling signal with a duty cycle of 0.5 through sequence A; obtain an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal;

[0012] S4: Delay the intermittent sampling signal according to the forwarding delay time corresponding to the non-uniform sampling signal to obtain multiple delayed signals; add the multiple delayed signals to obtain the total interference signal;

[0013] S5: Performs digital-to-analog conversion and up-conversion processing on the total interference signal, and transmits it through the transmitting antenna to interfere with the radar signal.

[0014] Optionally, step S1 includes:

[0015] LFM radar signals can be represented as:

[0016]

[0017] The pulse width of the LFM signal is bandwidth is FM slope ; This represents a rectangular signal.

[0018] Optionally, step S2 includes:

[0019] The duration of each sample signal is determined by the number of consecutive zeros in sequence A, expressed in milliseconds. ; duration As the forwarding delay duration.

[0020] Optionally, step S3 includes:

[0021] Non-uniform sampling signal It is expressed as follows:

[0022]

[0023] in, This indicates the number of sampling pulses generated within each pulse period, with each sampling pulse width being [value missing]. , Indicates the preceding The sum of the sampling periods, which is the first sampling period The start time of each sampling pulse is expressed as... ;

[0024] Multiplying the non-uniformly sampled signal with the LFM radar signal achieves intermittent sampling of the radar signal, resulting in the following intermittently sampled signal:

[0025] .

[0026] Optionally, step S4 includes:

[0027] Based on the non-uniform sampling signal and the forwarding delay, the intermittent sampling signal is delayed to obtain the first... The forwarding signal after the non-uniform delay is:

[0028]

[0029] The total interference signal is obtained by summing the forwarded signals after each non-uniform delay, as follows:

[0030] .

[0031] Optionally, the total interference signal is represented as:

[0032] .

[0033] A non-uniform sampling repeated forwarding interference system based on insect population mapping, the system comprising:

[0034] Radar transmitter, amplification and gain module, DRFM-based intermittent sampling module, radar receiver, signal processor;

[0035] The radar transmitter, amplification gain module, DRFM-based intermittent sampling module, radar receiver, and signal processor are connected in sequence.

[0036] The radar transmitter is used to transmit LFM radar signals;

[0037] The amplification gain module is used to process LFM radar signals;

[0038] The DRFM-based intermittent sampling mode is used to intercept radar signals, perform down-conversion processing on the radar signals to obtain LFM radar signals, obtain sequence A through insect mouth mapping to determine the forwarding delay duration, obtain a non-uniform sampling signal with a duty cycle of 0.5 from sequence A, obtain an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal, delay the intermittent sampling signal according to the forwarding delay duration corresponding to the non-uniform sampling signal to obtain multiple delayed signals, add the multiple delayed signals to obtain the total interference signal, perform digital-to-analog conversion and up-conversion processing on the total interference signal, and transmit it through the transmitting antenna to interfere with the radar signal.

[0039] The radar receiver is used to receive the jammed radar signal;

[0040] The signal processor is used to process the jammed radar signal, perform matched filtering and pulse compression on the jamming signal, and analyze the processed signal.

[0041] A computer-readable storage medium storing instructions that, when executed, perform a non-uniform sampling repeated forwarding interference method based on insect population mapping.

[0042] The beneficial effects of the technical solution provided in this application are:

[0043] 1. A chaotic sequence is obtained through insect mouth mapping, and a non-uniform sampling pulse train is generated to perform intermittent sampling of the signal. The sampled signal is then repeatedly forwarded, thereby effectively interfering with the target signal. This method can achieve an increase in the irregularity and number of deceiving false targets, as well as an expansion of the suppression area. Compared with traditional uniform intermittent sampling repeated forwarding interference and non-uniform intermittent sampling repeated forwarding interference methods based on m-sequences, its deception interference generation method is different, resulting in improved deception interference performance. Compared with the interference method of chaotic sampling noise convolution, its suppression interference generation method is different, resulting in improved suppression interference performance. Attached Figure Description

[0044] The present application will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0045] Figure 1 This is a radar system diagram of the non-uniform sampling repeated forwarding jamming method based on insect mouth mapping in the embodiments of this application;

[0046] Figure 2 This is a pulse compression output diagram of three sampling modes of the non-uniform sampling repeated forwarding interference method based on insect mouth mapping in the embodiments of this application;

[0047] Figure 3 This is a pulse compression output diagram of two suppression interference methods based on insect population mapping in the embodiments of this application;

[0048] Figure 4 This is a comparison diagram of the effective targets of three sampling methods in the non-uniform sampling repeated forwarding interference method based on insect population mapping in the embodiments of this application;

[0049] Figure 5 This is a comparison chart of the effective false target suppression range of the non-uniform sampling repeated forwarding interference method based on insect mouth mapping in the embodiments of this application. Detailed Implementation

[0050] To provide a clearer understanding of the technical features, objectives, and effects of this application, the specific embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0051] The embodiments of this application provide a non-uniform sampling repeated forwarding interference method based on insect population mapping.

[0052] Please refer to Figure 1 , Figure 1 This is a radar system diagram of a non-uniform sampling repeated forwarding jamming method based on insect population mapping in an embodiment of this application, including:

[0053] S1: Intercept the radar signal, perform down-conversion processing on the radar signal to obtain the LFM radar signal;

[0054] S2: Obtain sequence A through insect mouth mapping to determine the forwarding delay duration;

[0055] S3: Obtain a non-uniform sampling signal with a duty cycle of 0.5 through sequence A; obtain an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal;

[0056] S4: Delay the intermittent sampling signal according to the forwarding delay time corresponding to the non-uniform sampling signal to obtain multiple delayed signals; add the multiple delayed signals to obtain the total interference signal;

[0057] S5: Performs digital-to-analog conversion and up-conversion processing on the total interference signal, and transmits it through the transmitting antenna to interfere with the radar signal.

[0058] Specifically, the non-uniform intermittent sampling and repetitive forwarding interference signal obtained based on insect mouth mapping has a better deception and interference effect compared to other intermittent sampling and repetitive forwarding interference signals. Furthermore, the non-uniform intermittent sampling and repetitive forwarding interference signal obtained based on insect mouth mapping has a better suppression and interference effect compared to other interference signals obtained based on chaotic mapping.

[0059] Step S1 includes:

[0060] LFM radar signals can be represented as:

[0061]

[0062] The pulse width of the LFM signal is bandwidth is FM slope ; This represents a rectangular signal.

[0063] Step S2 includes:

[0064] The duration of each sample signal is determined by the number of consecutive zeros in sequence A, expressed in milliseconds. ; duration As the forwarding delay duration.

[0065] Specifically, the sequence A obtained from the insect population mapping is random and unpredictable. This variation in duration makes the generated sampling signal non-uniform.

[0066] Step S3 includes:

[0067] Non-uniform sampling signal It is expressed as follows:

[0068]

[0069] in, This indicates the number of sampling pulses generated within each pulse period, with each sampling pulse width being [value missing]. , Indicates the preceding The sum of the sampling periods, which is the first sampling period The start time of each sampling pulse is expressed as... ;

[0070] Multiplying the non-uniformly sampled signal with the LFM radar signal achieves intermittent sampling of the radar signal, resulting in the following intermittently sampled signal:

[0071] .

[0072] Step S4 includes:

[0073] Based on the non-uniform sampling signal and the forwarding delay, the intermittent sampling signal is delayed to obtain the first... The forwarding signal after the non-uniform delay is:

[0074]

[0075] The total interference signal is obtained by summing the forwarded signals after each non-uniform delay, as follows:

[0076] .

[0077] A non-uniform sampling repeated forwarding interference system based on insect population mapping, the system comprising:

[0078] Radar transmitter, amplification and gain module, DRFM-based intermittent sampling module, radar receiver, signal processor;

[0079] The radar transmitter, amplification gain module, DRFM-based intermittent sampling module, radar receiver, and signal processor are connected in sequence.

[0080] The radar transmitter is used to transmit LFM radar signals;

[0081] The amplification gain module is used to process LFM radar signals;

[0082] The DRFM-based intermittent sampling mode is used to intercept radar signals, perform down-conversion processing on the radar signals to obtain LFM radar signals, obtain sequence A through insect mouth mapping to determine the forwarding delay duration, obtain a non-uniform sampling signal with a duty cycle of 0.5 from sequence A, obtain an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal, delay the intermittent sampling signal according to the forwarding delay duration corresponding to the non-uniform sampling signal to obtain multiple delayed signals, add the multiple delayed signals to obtain the total interference signal, perform digital-to-analog conversion and up-conversion processing on the total interference signal, and transmit it through the transmitting antenna to interfere with the radar signal.

[0083] The radar receiver is used to receive the jammed radar signal;

[0084] The signal processor is used to process the jammed radar signal, perform matched filtering and pulse compression on the jamming signal, and analyze the processed signal.

[0085] Specifically, the analog signal receiver processes the received signals (total interference signal, radar signal, and clutter noise), performs matched filtering and pulse compression on the interference signal, and analyzes the processed signal to determine the quality of its interference performance, as follows:

[0086] LFM radar signal is The corresponding matched filter is It is the time-reversed version of the target signal, then its conjugate; let... ,but ;

[0087] For the The nth relay of a non-uniformly sampled signal, the total matched filtering and pulse compression result of the interference signal is:

[0088]

[0089] The original expression can be transformed into

[0090]

[0091] The first The interference signal from the first forward of the second sampling, after matched filtering and pulse compression, is defined as... ;

[0092] The total interference signal, after matched filtering and pulse compression, is as follows:

[0093] ;

[0094] in This represents the forwarding delay time for the nth forward.

[0095] Specifically, a pulse Doppler radar simulation system was built using Systemvue software. Then, a DRFM system was built on the radar system to intercept and process the transmitted signal. The copied signal was sampled and delayed using MATLAB interactive code to obtain interference, which was then received and processed by the receiver along with the real signal.

[0096] Specifically, such as Figure 1As shown, the radar transmitter and receiver are two key components of a radar system. The transmitter is responsible for transmitting radar signals, typically using a pulse generator to produce high-power electromagnetic pulse signals. This signal is amplified and transmitted to the antenna system for radiation into space. The receiver receives signals reflected back from targets, including information such as their intensity, frequency, and phase. It mainly consists of a receiving antenna, receiver circuitry, and signal processing components. The received signal undergoes demodulation and filtering to facilitate subsequent analysis and extraction of target information. These two parts work together to form the core function of the radar system. In this system, the radar transmitter uses a 70MHz linear frequency modulated signal, which is then up-converted to 1GHz to provide better signal processing and transmission performance. At the receiving end, the received signal undergoes down-conversion and is converted to baseband for subsequent signal processing steps.

[0097] Specifically, the environmental scene module of the radar system is mainly responsible for the perception and analysis of the target and its surrounding environment, using information such as weather, terrain, and target features to simulate the scene perceived by the radar. By simulating the interaction between the environment and the target, it provides a suitable background for the radar system, supporting its target detection and tracking functions. In this system, the focus is on simulating moving objects and the clutter around them, as well as noise generated during signal transmission. The built-in RADAR_Clutter environmental clutter simulation module and AddNDensity noise simulation module in Systemvue are used directly, employing an adder to add clutter and noise to the radar's transmitted signal, which is then received as the echo signal. The motion characteristics of the target, including distance, are simulated by modulating the input signal. This data is obtained in the measurement module and compared with the measured data to check the system's accuracy and efficiency.

[0098] Step 1: The jamming signal generation operation is divided into two main stages: replication and pattern modulation. In this process, the replication part is entirely handled by the DRFM model. Simultaneously, pattern modulation aims to alter the characteristics of the jamming, making it more diverse and complex. In the simulation system, the echo signal is sampled after delay and gain adjustment. The system also uses Matlab modules to interactively process the signal and generate sampled signals, sampling the down-converted signal. A DRFM model was built based on literature, using the CHOP module to simulate the reading and replication process. This module can simulate the data acquisition and replication process in a radar system. By simulating this process, the original signal data can be acquired, and the conversion from analog to digital signals can be completed. The RecToCx module demonstrates its unique function: efficiently synthesizing the input I / Q signals to generate a complex signal. This module's function is to composite the radar-received signals into a complex signal for subsequent processing and analysis. The CxToEnv module can convert the complex signal into an envelope signal. The envelope signal refers to the amplitude information extracted from the complex signal. Processing this module allows us to obtain the amplitude variations of the radar-received signal, thus enabling better understanding and analysis of the radar data. Up-conversion is a crucial step in the entire replication process; it adjusts the frequency of the original signal to suit the requirements of subsequent processing and analysis. Up-conversion allows the signal frequency to be adjusted to a more suitable range for subsequent processing and analysis. The modulation section utilizes Matlab modules to obtain various interference patterns. The purpose of this step is to simulate different interference scenarios to evaluate and test the performance of the radar system.

[0099] This method uses the Sine map to modulate the signal. Chaotic sequences are characterized by nonlinearity, ergodicity, and unpredictability. The Sine map is a classic one-dimensional map, and its mathematical expression is: The parameters in the formula Let be a constant on the interval [0,4]. When the value is greater than 3.8, the mapping system is in a chaotic state; the closer it is to 4, the more pronounced the chaotic state becomes. This method takes... By setting different interference patterns, various interference scenarios that may be encountered in real-world applications can be simulated, thereby providing a better understanding of the radar system's performance and robustness.

[0100] The signal processing steps are as follows: First, the received radar signal undergoes down-conversion, followed by 8-bit A / D conversion to obtain I / Q digital signals. These two signals are multiplied by a sampled signal generated by Matlab code, and then sampled to obtain a sampled signal. The CHOP module is used to simulate and copy the two sampled signals, and the result is then input into a 12-bit A / D conversion module to obtain a simulated interference signal (non-uniform intermittent sampling and repetitive forwarding interference signal) after sampling delay processing. In the RecToCx module, the I / Q signals are synthesized to successfully form a complex signal. This synthesized complex signal is then processed by the CxToEnv module to convert it into an envelope signal. This step provides a more convenient operational basis for subsequent processing steps. Finally, the entire signal copying process is completed by performing up-conversion. The successful execution of this series of steps ensures the effective implementation of signal copying and processing in the system. This process plays a crucial role in the system, ensuring effective signal processing and the smooth execution of subsequent stages. The copied signal is delayed and superimposed according to a specific timing sequence to obtain intermittent sampling and repetitive forwarding interference.

[0101] The signal processing module (signal processor) is primarily responsible for processing the received radar echo signals. First, this module performs pulse compression on the echo signals to enhance the target echo signal. Next, pulse-Doppler processing is performed to analyze the spectrum and estimate the target's range and velocity. Subsequent signal processing may include target signal separation, interference cancellation, and adaptive filtering to optimize target detection and identification. This module also includes algorithms for target recognition, tracking, and parameter measurement, used to extract target features and generate target information. Ultimately, these processing steps provide the radar system with the ability to accurately identify, track, and measure parameters of targets. This system has a signal processing module that includes several key steps in radar signal processing, such as pulse compression, pulse Doppler, constant false alarm rate (CFAR) detection, detection probability assessment, and parameter measurement. These steps together constitute the core flow of radar signal processing. The most important step, CFAR detection, determines the presence or absence of a target, and in the presence of noise, determines whether the signal is present or absent. The block diagram of the entire system is shown below. Figure 1 As shown.

[0102] In the application, to test the effectiveness of the proposed method, two sets of interference signals were used for comparison: three different sampling methods were used to generate repetitive forwarding interference signals; and the same sampling method was used with two different forwarding methods to obtain intermittent sampling interference signals based on chaotic sequences. These signals, after pulse compression processing, ultimately formed the interference output results, which were then used... Figure 2 (a)(b)(c) and Figure 3(a) and (b) represent the results. These results correspond to uniform intermittent sampling repeated forwarding interference, non-uniform intermittent sampling repeated forwarding interference based on m-sequences, and non-uniform intermittent sampling repeated forwarding interference based on chaotic sequences.

[0103] Simultaneously, two different methods for suppressing interference were used to analyze the anti-interference performance of the signal, and the final interference results are as follows: Figure 3 As shown.

[0104] Deception Interference Analysis: In this study, a normalization amplitude greater than 0.09 was used to identify valid false targets. A detailed analysis of repeated forwarding interference using three different sampling methods was then conducted. These three methods included uniform intermittent sampling repeated forwarding interference, non-uniform intermittent sampling repeated forwarding interference based on m-sequences, and non-uniform intermittent sampling repeated forwarding interference based on chaotic sequences. The main research objective was to quantify the number of false targets generated by these three different interference methods and analyze their distribution intervals. The relevant data results are already available in [the original text is missing]. Figure 4 The details are shown in Table 1.

[0105] The number of valid false targets obtained by the three sampling methods is shown in Table 1.

[0106] Table 1

[0107]

[0108] Through in-depth research and data analysis Figure 4 Based on Table 1, the following conclusions can be drawn: A significant characteristic of uniform intermittent sampling repetitive forwarding interference is that the pulse width remains consistent for each sample, and the forwarding delay is the same as the sampling pulse width. In the current scenario, due to the regularity of the forwarding delay, the range of superposition between the guiding pulse compression output signals is relatively small. This regularity indicates that the amplitudes of numerous false targets cannot be superimposed to form an effective false target. This characteristic results in a relatively small number of effective false targets formed during the superposition process of the pulse compression output signals, only 19. This may be due to the accuracy of the forwarding delay and the influence of related parameters, which limit the effective superposition of false targets. Furthermore, the spacing between these effective false targets remains consistent, especially the interval between the main false targets, which is the delay time, exhibiting an overly regular distribution and mainly concentrated after the real target. Among them, some false targets with smaller amplitudes are distributed between two signals with larger amplitudes; these signals are due to the signal superposition effect caused by repeated forwarding.

[0109] When analyzing uniform intermittent sampling repeated forwarding interference, its most significant characteristic is the consistent duration of the sampling pulse width in each sampling. This consistency results in the overlap between the center position of the main lobe after each sampling and forwarding and the center position of the next side lobe, leading to a higher main lobe peak during the superposition of multiple signals. This has a significant impact on the pulse signal processing mechanism of uniform intermittent sampling repeated forwarding interference, as the duration consistency directly affects the stability of the main lobe position, thus further influencing the characteristics of the superimposed signal. This phenomenon is not only verified in each sampling but also consistently present in each group of dummy targets. Therefore, dummy targets generated by uniform intermittent sampling repeated forwarding have higher amplitudes. Conversely, non-uniform intermittent sampling repeated forwarding interference exhibits high variability in the sampling pulse width, causing continuous changes in the center position and amplitude of the main and side lobes of the dummy targets, resulting in relatively less signal superposition. Due to the different sampling pulse widths, the main lobe peak formed after repeated forwarding is relatively low, while the number of dummy targets with lower amplitudes increases significantly. Therefore, special attention needs to be paid to the gain when modulating the amplitude of the dummy target group. However, due to the corresponding superposition effect of other side lobes, a relatively high peak also appears at the side lobe position.

[0110] Due to the non-uniform intermittent sampling and repeated forwarding interference in the system, the sampling pulse width The continuous change in this characteristic makes the distribution of false targets in the system more random. This method generates 43 effective false targets, which is greater than the 35 effective interference targets obtained using the m-sequence as the sampling signal. These false targets are distributed before and after the real targets, creating an effective deceptive interference effect.

[0111] Suppression and Interference Analysis: In this method, a normalized amplitude greater than 0.09 was used to identify effective false targets. A detailed analysis was then conducted on the intermittent sampling interference signals based on chaotic sequences obtained through two different forwarding methods. These two methods were a noise convolution interference pattern based on chaotic sequences and a non-uniform intermittent sampling direct forwarding interference pattern based on chaotic sequences. Valid false targets were identified by using a normalized amplitude greater than 0.09 to compare the suppression range of effective false targets, serving as a reference value for measuring the effectiveness of the suppression and interference. First, the amplitude of the real target was set to 0.25, and then the output results of the intermittent sampling interference based on chaotic sequences obtained through the two different forwarding methods were normalized. This step aimed to ensure the comparability of the output results of various interference methods, providing a foundation for subsequent analysis. Detailed analysis results are presented in [the table below]. Figure 5 middle.

[0112] Through Figure 5In-depth analysis yielded the following important conclusions: Non-uniform intermittent sampling repetitive forwarding interference exhibits high variability in sampling pulse width, leading to continuous changes in the center position and amplitude of the main lobe and side lobes of the main decoy, resulting in relatively less signal superposition. Due to the different sampling pulse widths, the main lobe peak formed after repeated forwarding is relatively low, while the number of decoys with lower amplitudes increases significantly. Therefore, the gain when modulating the amplitude of the decoy group needs special attention. However, due to the corresponding superposition effect of other side lobes, a relatively high peak also appears at the side lobe position. This phenomenon expands the suppression range of the generated decoys and also increases the randomness of their distribution. As for chaotic sampling noise convolution, the purpose of convolving the sampled signal with noise is originally to obtain a strong suppression effect, but due to the limitation of radar signal pulse width, its suppression effect is not significant.

[0113] The coverage of chaotic sampling noise convolution interference pattern and non-uniform intermittent sampling repeated forwarding interference based on chaotic sequence are compared and analyzed, as shown in Table 2.

[0114] Table 2 Interference Coverage Range under Three Sampling Methods

[0115]

[0116] according to Figure 5 As shown in Table 2, compared to the chaotic sampling noise convolutional interference pattern, the non-uniform intermittent sampling repeated forwarding interference method based on chaotic sequences significantly increases the effective coverage in front of the real target, and the overall interference suppression range is also wider. Furthermore, the interference method using chaotic sequences as the sampling signal exhibits a larger suppression range. Therefore, non-uniform sampling repeated forwarding interference using chaotic sequences is a method with broad practical application potential and can effectively suppress interference signals.

[0117] This application also discloses a computer-readable storage medium storing multiple instructions adapted for loading by a processor to execute the above-described non-uniform sampling repeated forwarding interference method based on insect mouth mapping.

[0118] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will readily conceive of those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0119] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A non-uniform sampling repeated forwarding interference method based on insect population mapping, characterized in that, The method includes the following steps: S1: Intercept the radar signal, perform down-conversion processing on the radar signal to obtain the LFM radar signal; S2: Obtain sequence A through insect mouth mapping to determine the forwarding delay duration; S3: Obtain a non-uniform sampling signal with a duty cycle of 0.5 through sequence A; obtain an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal; S4: Delay the intermittent sampling signal according to the forwarding delay time corresponding to the non-uniform sampling signal to obtain multiple delayed signals; add the multiple delayed signals to obtain the total interference signal; S5: Performs digital-to-analog conversion and up-conversion processing on the total interference signal, and transmits it through the transmitting antenna to interfere with the radar signal.

2. The non-uniform sampling repeated forwarding interference method based on insect population mapping as described in claim 1, characterized in that, Step S1 includes: LFM radar signals can be represented as: The pulse width of the LFM signal is bandwidth is FM slope ; This represents a rectangular signal.

3. The non-uniform sampling repeated forwarding interference method based on insect population mapping as described in claim 2, characterized in that, Step S2 includes: The duration of each sample signal is determined by the number of consecutive zeros in sequence A, expressed in milliseconds. ; duration As the forwarding delay duration.

4. The non-uniform sampling repeated forwarding interference method based on insect population mapping as described in claim 3, characterized in that, Step S3 includes: Non-uniform sampling signal It is expressed as follows: in, This indicates the number of sampling pulses generated within each pulse period, with each sampling pulse width being [value missing]. , Indicates the preceding The sum of the sampling periods, which is the first sampling period The start time of each sampling pulse is expressed as... ; Multiplying the non-uniformly sampled signal with the LFM radar signal achieves intermittent sampling of the radar signal, resulting in the following intermittently sampled signal: 。 5. The non-uniform sampling repeated forwarding interference method based on insect population mapping as described in claim 4, characterized in that, Step S4 includes: Based on the non-uniform sampling signal and the forwarding delay, the intermittent sampling signal is delayed to obtain the first... The forwarding signal after the non-uniform delay is: The total interference signal is obtained by summing the forwarded signals after each non-uniform delay.

6. The non-uniform sampling repeated forwarding interference method based on insect population mapping as described in claim 5, characterized in that, The total interference signal is represented as: 。 7. A non-uniform sampling repeated forwarding interference system based on insect population mapping, used to implement the non-uniform sampling repeated forwarding interference method based on insect population mapping as described in claims 1-6, characterized in that, The system includes: Radar transmitter, amplification and gain module, DRFM-based intermittent sampling module, radar receiver, signal processor; The radar transmitter, amplification gain module, DRFM-based intermittent sampling module, radar receiver, and signal processor are connected in sequence. The radar transmitter is used to transmit LFM radar signals; The amplification gain module is used to process LFM radar signals; The DRFM-based intermittent sampling mode is used to intercept radar signals, perform down-conversion processing on the radar signals to obtain LFM radar signals, obtain sequence A through insect mouth mapping to determine the forwarding delay duration, obtain a non-uniform sampling signal with a duty cycle of 0.5 from sequence A, obtain an intermittent sampling signal based on the non-uniform sampling signal and the LFM radar signal, delay the intermittent sampling signal according to the forwarding delay duration corresponding to the non-uniform sampling signal to obtain multiple delayed signals, add the multiple delayed signals to obtain the total interference signal, perform digital-to-analog conversion and up-conversion processing on the total interference signal, and transmit it through the transmitting antenna to interfere with the radar signal. The radar receiver is used to receive the jammed radar signal; The signal processor is used to process the jammed radar signal, perform matched filtering and pulse compression on the jamming signal, and analyze the processed signal.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed by a computer, perform the method as described in any one of claims 1-6.

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