A method and system for rapid autonomous detection of guidance jamming based on a ZYNQ platform

Abstract

The application discloses a kind of fast autonomous detection guiding interference methods based on ZYNQ platform, applied to detection guiding interference system, comprising: the main channel radio frequency signal is sent into high-speed single-bit ADC, and after PL end receives high-speed single-bit ADC data, real-time pulse detection and rough frequency measurement;By rough frequency measurement result, each channel radio frequency signal is input after frequency conversion, and corresponding intermediate frequency ADC is input;PL end is according to rough frequency measurement result, after the signal of each intermediate frequency ADC is received differentially, pulse parameter is measured after frequency conversion, and pulse description word is sent into PS end;PS end uses pulse description word to match radar library, and pulse description word is sorted and calculated, and the calculation result is sent to peripheral equipment, and the calculation result is updated radar library, and the corresponding interference strategy is selected by the radar characteristic parameter matched, and the interference parameter is sent to PL end;PL end generates interference signal according to the pulse parameter of each signal and interference parameter, and after processing, interference signal is sent.The application can real-time self-adapting radar signal fast reconnaissance and guiding interference.

Description

Technical Field

[0001] This invention relates to the field of radar applications, and in particular to a rapid autonomous detection and guidance jamming method and system based on the ZYNQ platform. Background Technology

[0002] Radar is the most effective long-range electronic detection device to date. With the increasingly widespread application of radar equipment, research on radar signal detection and jamming techniques is becoming increasingly important. Currently, there are two main technical solutions in radar signal detection, guidance, and jamming systems:

[0003] 1. A scheme based on the Modulation Wideband Converter (MWC) architecture

[0004] For schemes based on modulation-wideband converter structures, such as Figure 1 As shown, the main process involves dividing the received signal into sub-bands and performing down-conversion processing to obtain the baseband signal through a front-end simulated channelization structure. The baseband signal is then mixed with a mixing sequence and summed to obtain a sum signal. The sum signal is then subjected to a specified interference pattern to obtain an interference signal. The interference signal is then mixed with a periodic mixing sequence to obtain an interference mixing signal. The interference mixing signal is then up-converted to obtain an interference modulation signal. Finally, the interference modulation signal is passed through a filter bank and summed to obtain the final interference signal.

[0005] For example, patent application number CN202010273015.0 discloses an integrated reconnaissance and jamming system. The first part is a multi-channel compressed multiplexing receiver section. It uses a front-end analog channelization structure to divide the received signal into sub-bands and performs down-conversion processing to obtain a baseband signal. Then, the baseband signal is mixed with a periodic pseudo-random sequence and summed to obtain a compressed signal, which is provided to the subsequent compressed signal interference generation section. The second part is the compressed signal interference generation section, which uses direct compressed signal interference. A specified interference pattern is added to the compressed signal output from the receiver front-end to obtain a sum of interference signals, which is provided to the subsequent random demixing section. The third part is the random demixing section, where the sum of the interference signals is mixed with a periodic pseudo-random sequence to obtain an interference mixed signal, which is provided to the subsequent jamming transmission section. The fourth part is the jamming transmission section, including an up-conversion section and a filtering section. In the jamming transmission section, the interference mixed signal is up-converted to obtain an interference modulated signal. The interference modulated signal is then summed after passing through a filter bank to obtain the final jamming signal.

[0006] Analysis of the implementation process of this scheme reveals that it primarily addresses the large bandwidth of current radar signals by using signal suppression technology to reduce the system's requirements for the number of ADC and DAC channels and data rate. However, this scheme does not perform further signal characteristic analysis of the radar signal, nor does it perform radar pulse signal detection or pulse signal parameter measurement. Consequently, it cannot obtain parameters such as pulse radar recurrence interval, arrival time, pulse width, modulation type, target azimuth, and elevation. Furthermore, it can only add a specified interference pattern to the signal to obtain the sum and form of the interference signal, and cannot achieve the function of autonomously selecting the interference pattern based on the detected signal characteristics, thus failing to implement faster and more effective interference against the target.

[0007] 2. A digital channelization solution based on an FPGA+DSP+host computer architecture

[0008] Digital channelization solutions based on FPGA+DSP+host computer architecture, such as... Figure 2 As shown, the host computer manually controls the RF down-conversion local oscillator frequency in advance. After the RF signal enters the microwave component through the antenna, it is down-converted to an intermediate frequency signal and enters the ADC. The FPGA first performs digital channelization on the acquired ADC signal, and then performs pulse signal detection and pulse signal parameter measurement on the signal in each channel. The FPGA uploads the measurement result PDW word to the DSP. The DSP sorts and calculates the target radar signal's multiple cycles, carrier frequency, pulse width, amplitude and other parameters based on the received PDW word, and uploads this information to the host computer. The host computer then sends out parameters such as interference type and interference frequency point based on the sorting result. The FPGA generates the corresponding interference signal based on the received interference parameters. The digital interference signal is transmitted through the antenna after passing through the DAC, microwave up-conversion, and power amplification.

[0009] For example, patent application number CN202210066927.X discloses an integrated passive detection and reconnaissance jamming device and method. The local oscillator frequency point set by the host computer is sent to the microwave radio frequency module through the DSP module and FPGA module. The receiving antenna receives the radiation source signal and transmits it to the microwave radio frequency module for automatic gain control and down-conversion to obtain the real signal. The ADC module performs intermediate frequency bandpass sampling on the signal to obtain a digital signal and transmits it to the FPGA module for signal detection. The FPGA module performs channelization processing on the digital signal to obtain IQ components. The selected main channel is detected and the pulse descriptor word is measured and reported to the DSP for signal sorting to obtain radar-style sorting results. The DSP module reports the sorting results to the host computer, and the host computer sends the jamming frequency point and tracking target parameters to the FPGA module. The FPGA generates jamming patterns for the target radar according to the jamming frequency point and jamming pattern sent by the host computer. The digital jamming signal is converted by the DAC module, then microwave up-converted and amplified, and then transmitted through the transmitting antenna.

[0010] The shortcomings of this scheme are as follows: First, the down-conversion local oscillator frequency of the RF microwave component is manually controlled by the host computer. Limited by the sampling frequency of current multi-bit ADC chips, the intermediate frequency signal receiver's signal bandwidth generally does not exceed 2GHz, which is insufficient to cover the entire radar signal frequency band. Therefore, during the passive detection and reconnaissance phase, the system needs to continuously poll and interfere with radar signals in various frequency bands. This results in the inability to detect and interfere with radar targets in different frequency bands in real time, and also causes significant delays in target signal interference, or even loss of target signal tracking. Second, this scheme uses digital channelization technology to process radar pulse signals. The advantage of digital channelization is that it can... Simultaneous detection and identification of multiple signals from different channels within a frequency band has a drawback: digital channelization requires the use of channelization filter banks or fast Fourier transform and inverse transform techniques, which causes excessive pulse signal detection delay and multiplier resource consumption. This delay is even greater when the filter bank order is large and the number of fast Fourier transform points is high, thus making it impossible to effectively interfere with radar pulse signals with small repetition cycles. Thirdly, the interference type and interference parameters in this scheme need to be set and sent by the host computer and forwarded by the DSP, which results in a large delay in data and command interaction, increasing the probability that key pulse signals cannot be effectively interfered with.

[0011] The ZYNQ platform, through dual-core collaborative processing and hardware-software co-design, boasts advantages such as high data interaction speed and low data interaction latency. How to implement a reconnaissance, guidance, and jamming scheme based on the ZYNQ platform to overcome the problems existing in current schemes is worthy of in-depth research and discussion. Summary of the Invention

[0012] The technical problem to be solved by this invention is: In view of the technical problems existing in the prior art, this invention provides a fast and autonomous detection and guidance interference method and system based on the ZYNQ platform. It improves the traditional FPGA+DSP+host computer architecture detection interference system solution, which can quickly and autonomously select the interference form, speed up the pulse signal detection speed and reduce the time delay of the interference signal.

[0013] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows:

[0014] A rapid autonomous detection and guidance jamming method based on the ZYNQ platform is applied to a detection and guidance jamming system, which includes a radio frequency microwave component, a ZYNQ chip, and peripheral devices connected in sequence. The method includes:

[0015] S1) The radio frequency microwave component acquires the radio frequency signal and sends the radio frequency signal of the main channel to the high-speed single-bit ADC. After receiving the high-speed single-bit ADC data, the PL terminal of the ZYNQ chip performs pulse detection and coarse frequency measurement on the radio frequency signal of the main channel in real time.

[0016] S2) The radio frequency microwave component switches the radio frequency down-conversion local oscillator frequency according to the coarse frequency measurement result, down-converts the radio frequency signal of each channel to obtain the corresponding intermediate frequency signal, and then inputs each intermediate frequency signal into the corresponding intermediate frequency ADC;

[0017] S3) The PL terminal of the ZYNQ chip differentially receives the intermediate frequency signals of each intermediate frequency ADC. Based on the coarse frequency measurement results, the pulse parameters of each intermediate frequency signal are measured after down-conversion. The pulse description words corresponding to the pulse parameters of each signal are sent to the PS terminal of the ZYNQ chip.

[0018] S4) The PS terminal of the ZYNQ chip uses the acquired pulse descriptor to match the radar feature parameters in the radar library. At the same time, it performs sorting calculation on the pulse descriptor, calculates the peripheral parameters based on the sorting calculation results and sends them to the peripheral device, updates the radar library with the sorting calculation results, selects the corresponding jamming strategy based on the matched radar feature parameters, and sends the jamming parameters of the selected jamming strategy to the PL terminal of the ZYNQ chip.

[0019] The PL terminal of the S5ZYNQ chip generates corresponding interference signals based on the pulse signal data, pulse parameters, and corresponding interference parameters of each signal. Each interference signal is sent to the RF microwave component through the corresponding DAC chip. The RF microwave component processes each interference signal and then sends it.

[0020] Furthermore, step S1) involves real-time pulse detection and coarse frequency measurement of the main channel's radio frequency signal, including the following steps:

[0021] S11) The high-speed single-bit ADC data is divided into time-division slices. The high-speed single-bit ADC data at even times is sent to the first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching. The high-speed single-bit ADC data at odd times is sent to the second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching.

[0022] S12) Obtain the amplitude of the spectrum line corresponding to the current time output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm, and perform maximum value retrieval. If the maximum amplitude of the spectrum line is greater than the threshold value, output the pulse signal identifier and save the frequency of the maximum amplitude of the spectrum line.

[0023] S13) Determine the pulse leading edge time based on the pulse signal identifier duration, and read the frequency corresponding to the maximum spectral amplitude output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm at the pulse leading edge time, as the leading edge frequency of the current pulse signal;

[0024] S14) If the leading edge frequency of the current pulse signal falls within the update region, select the RF down-conversion frequency band according to the RF local oscillator frequency code closest to the leading edge frequency.

[0025] Furthermore, both the first and second single-bit frequency algorithms are any one of the radix-2 FFT algorithm, the split FFT algorithm, and the radix-4 FFT algorithm.

[0026] Furthermore, the high-speed single-bit ADC sampling rate is 38.4 GSPS, and the intermediate frequency ADC sampling rate is 4.8 GSPS. In step S3), based on the coarse frequency measurement results, the pulse parameters are measured after down-conversion of each intermediate frequency signal, specifically including:

[0027] S31) Convert the data of the current intermediate frequency signal from serial to parallel to the 300MHz clock domain;

[0028] S32) Based on the pulse signal identifier and the leading edge frequency of the pulse signal, the data of the current intermediate frequency signal after serial-to-parallel conversion is down-converted to obtain 16 parallel data channels;

[0029] S33) After low-pass filtering of the 16 parallel data channels, the data is decimated by 16 times, then pulse parameters are measured, and corresponding pulse descriptors are generated.

[0030] Furthermore, step S4) includes the following steps:

[0031] S41) Match the pulse descriptor of the current signal to the radar database. If the current signal has matching radar characteristic parameters, execute the jamming strategy of precise guided jamming.

[0032] S42) If there are no matching radar characteristic parameters for the current signal, execute the fast-guided jamming strategy, wait for the sorting calculation result of the pulse descriptor of the current signal, update the radar library with the sorting calculation result, and then switch the fast-guided jamming strategy to the precise-guided jamming strategy.

[0033] Furthermore, the interference strategy for rapid guidance interference includes:

[0034] A1) Match the target parameters in the pulse descriptor of the current signal to the radar database. If there is no matching result for any of the target parameters, amplify the power of the current signal and transmit it directly.

[0035] A2) If only the carrier frequency is successfully matched among the target parameters, select the corresponding interference pattern according to the signal strength, preload the selected interference pattern, and obtain the corresponding interference parameters.

[0036] Furthermore, in step A2), selecting the corresponding interference pattern based on the signal strength specifically includes: if the signal strength is greater than the target value, selecting the suppression interference or the combination of suppression interference and deception interference; if the signal strength is less than the target value, selecting the deception interference pattern.

[0037] Furthermore, the interference strategy for precise guidance interference includes:

[0038] B1) Match the target parameters in the pulse descriptor of the current signal to the radar database. If all target parameters have matching results, obtain the sorting result corresponding to the pulse descriptor of the current signal.

[0039] B2) Based on the grade determination results of the information in the sorting results, select the corresponding interference pattern and generate the corresponding interference parameters.

[0040] Furthermore, in step B2), selecting the corresponding interference pattern based on the level determination result of the information in the sorting results specifically includes:

[0041] If the pulse repetition interval level is large and the power level is weak, select the narrowband frequency sweep in the search mode;

[0042] If the pulse repetition interval level is large and the power level is strong, select the smart noise in the search mode;

[0043] If the pulse repetition interval level is medium, select the distance dragging mode in the tracking mode;

[0044] If the pulse repetition interval level is small and the power level is strong, select intermittent sampling forwarding or echo simulation in the strike mode;

[0045] If the pulse repetition interval level is small and the power level is weak, select the combined distance and speed dragging mode in the strike mode.

[0046] This invention also proposes a detection and guidance interference system, comprising a radio frequency microwave component, a ZYNQ chip, and peripheral devices connected in sequence. The ZYNQ chip includes a PL terminal and a PS terminal, wherein:

[0047] The radio frequency microwave component is used to acquire radio frequency signals, send the radio frequency signals of the main channel to a high-speed single-bit ADC, switch the radio frequency down-conversion local oscillator frequency according to the coarse frequency measurement results, down-convert the radio frequency signals of each channel to obtain the corresponding intermediate frequency signals, then input each intermediate frequency signal into the corresponding intermediate frequency ADC, and also process and send each interference signal.

[0048] The PL terminal is used to receive high-speed single-bit ADC data and perform real-time pulse detection and coarse frequency measurement on the RF signal of the main channel. It is also used to differentially receive the intermediate frequency signals of each intermediate frequency ADC. Based on the coarse frequency measurement results, it performs down-conversion on each intermediate frequency signal and measures the pulse parameters. It is also used to generate corresponding interference signals based on the pulse signal data, pulse parameters and corresponding interference parameters of each signal, and send each interference signal to the RF microwave component through the corresponding DAC chip.

[0049] The PS terminal is used to acquire pulse descriptors and match them with radar feature parameters in the radar library. At the same time, it performs sorting calculations on the pulse descriptors, calculates peripheral parameters based on the sorting calculation results and sends them to peripheral devices, updates the radar library with the sorting calculation results, and selects the corresponding jamming strategy based on the matched radar feature parameters.

[0050] The peripheral device is used to perform corresponding actions based on the peripheral parameters.

[0051] Compared with the prior art, the advantages of the present invention are as follows:

[0052] This invention first utilizes ultra-wideband single-bit ADC data acquisition technology to perform carrier frequency measurement and pulse signal detection on signals received across the entire frequency band, guiding the local oscillator switching of the intermediate frequency receiver in real time. This enables real-time adaptive and rapid detection and guided jamming of radar signals across multiple frequency bands. Second, it employs a pre-loaded radar library, updating it in real time based on measured radar signal characteristic parameters. It then autonomously selects jamming strategies by matching real-time measured radar characteristic parameters with radar library parameters, achieving optimized jamming strategies. Finally, it leverages the ZYNQ platform, fully utilizing its hardware advantages to improve processing speed and the significant advantages of hardware-software co-design. This reduces data and command interaction latency, increasing the probability of effectively jamming critical pulse signals. Attached Figure Description

[0053] Figure 1 This is a block diagram of an integrated reconnaissance and jamming system based on MWC technology.

[0054] Figure 2 This is a block diagram of an integrated reconnaissance and jamming system based on an FPGA+DSP+host computer architecture.

[0055] Figure 3 This is a block diagram of a detection and guidance jamming system according to an embodiment of the present invention.

[0056] Figure 4 This is a flowchart of a method according to an embodiment of the present invention.

[0057] Figure 5 This is a timing diagram of the high-speed single-bit ADC sampling data after time-division slicing in an embodiment of the present invention.

[0058] Figure 6 This is a flowchart illustrating the single-bit frequency band boot module of the ZYNQ chip PL terminal in an embodiment of the present invention.

[0059] Figure 7 This is a schematic diagram of the pulse signal identification timing in an embodiment of the present invention.

[0060] Figure 8 This is a schematic diagram of the local oscillator frequency update range in an embodiment of the present invention.

[0061] Figure 9 This is a flowchart illustrating the pulse signal parameter measurement process in an embodiment of the present invention.

[0062] Figure 10 This is a flowchart of radar library parameter matching and parameter update in an embodiment of the present invention.

[0063] Figure 11 This is a flowchart illustrating the selection of interference strategies in an embodiment of the present invention.

[0064] Figure 12 This is a flowchart illustrating the rapid interference guidance in an embodiment of the present invention.

[0065] Figure 13 This is a flowchart illustrating precise interference guidance in an embodiment of the present invention. Detailed Implementation

[0066] The present invention will be further described below with reference to the accompanying drawings and specific preferred embodiments, but this does not limit the scope of protection of the present invention.

[0067] To address the shortcomings of current reconnaissance-guided jamming schemes, we propose a detection-guided jamming system, such as... Figure 3 As shown, it includes a radio frequency microwave component, a ZYNQ chip, and peripheral devices connected in sequence. The PL terminal of the ZYNQ chip is equipped with a single-bit frequency band guidance module, a pulse signal parameter measurement module, and an interference signal generation module. The PS terminal of the ZYNQ chip is equipped with a signal sorting module, a radar library, and an interference strategy decision module. The operation of this detection and guidance interference system is as follows:

[0068] 1. The radio frequency (RF) signal is transmitted via the receiving antenna array to the RF microwave assembly for filtering and amplification. The RF signal from the main channel undergoes two-way power splitting within the RF microwave assembly. One of the split signals, a wideband signal, is sent to a high-speed single-bit ADC chip. The other split signal, along with other RF signals from other channels, is then down-converted and filtered by the RF microwave assembly before being sent to the corresponding intermediate frequency (IF) ADC chip. Figure 3 ADC1 to ADC4 in the series;

[0069] 2. The PL terminal receives high-speed single-bit ADC data through the high-speed serial interface GTY. After serial-to-parallel conversion, the data is sent to the single-bit frequency band boot module.

[0070] 3. The single-bit frequency band guidance module uses single-bit frequency measurement technology to perform real-time pulse signal detection and coarse frequency measurement on the received radio frequency signal. The result of the coarse frequency measurement is the coarse frequency measured at the leading edge of the pulse signal.

[0071] 4. Based on the coarse frequency measurement results of the single-bit frequency band guidance module, the radio frequency microwave component switches the radio frequency down-conversion local oscillator frequency, down-converts the radio frequency signals received by each antenna in the receiving antenna group to the intermediate frequency, and sends the intermediate frequency signals to the corresponding intermediate frequency ADC chips in the four intermediate frequency ADCs.

[0072] 5. The PL terminal receives 4 channels of ADC intermediate frequency data transmitted from 4 intermediate frequency ADCs through a high-speed LVDS differential interface. After serial-to-parallel conversion of the 4 channels of ADC data, the data is sent to the pulse signal parameter measurement module. The pulse parameter measurement module further down-converts the 4 channels of ADC data according to the coarse measurement frequency output by the single-bit frequency band guidance module, and then performs subsequent pulse parameter measurements. The generated PDW (Pulse Description Word) is sent to the PS terminal. The pulse signal data, identifiers, and corresponding pulse parameters identified from the 4 channels of ADC data are sent to the interference signal generation module.

[0073] 6. The interference signal generation module generates corresponding interference signals based on the received pulse signal data, identifiers, parameters, and interference types and parameters pre-sent by the PS terminal. These interference signals are then sent to the radio frequency microwave component via the corresponding intermediate frequency DAC. After filtering, up-conversion, and amplification, they are transmitted by the transmitting antenna group.

[0074] 7. The PDW generated by the parameter measurement module of the received pulse signal is sent to the signal sorting module at the PS end. The module sorts and calculates the corresponding pulse signal's carrier frequency, bandwidth, amplitude, multiple cycles, azimuth, elevation and other parameter information, and sends it to the radar database.

[0075] 8. The PDW is sent to the radar library for radar characteristic parameter matching, and the parameter matching results are output to the jamming strategy decision module.

[0076] 9. The interference strategy decision module selects the interference guidance style and related parameters based on the matching results, sends them to the interference signal generation module, and updates the interference type and parameters inside the module.

[0077] 10. After the PS end sorts out the pulse-related parameter information, it also calculates the relevant peripheral parameter information and transmits it to the corresponding peripheral device through the peripheral interface. For example, it calculates the turntable rotation angle based on the azimuth, pitch and other parameter information and transmits it to the turntable to track the target motion trajectory in real time.

[0078] like Figure 4 As shown, we also propose a fast autonomous detection and guidance jamming method based on the ZYNQ platform, which is applied to the detection and guidance jamming system in this embodiment. The method includes the following steps:

[0079] S1) The radio frequency microwave component acquires the radio frequency signal and sends the radio frequency signal of the main channel to the high-speed single-bit ADC. After receiving the high-speed single-bit ADC data, the single-bit frequency band guidance module at the PL end of the ZYNQ chip performs pulse detection and coarse frequency measurement on the radio frequency signal of the main channel in real time.

[0080] S2) The radio frequency microwave component switches the radio frequency down-conversion local oscillator frequency according to the coarse frequency measurement result, down-converts the radio frequency signal of each channel to obtain the corresponding intermediate frequency signal, and then inputs each intermediate frequency signal into the corresponding intermediate frequency ADC;

[0081] S3) After the PL terminal of the ZYNQ chip differentially receives the intermediate frequency signals from each intermediate frequency ADC, the pulse parameter measurement module performs down-conversion on each intermediate frequency signal according to the coarse frequency measurement results and measures the pulse parameters. The pulse description word corresponding to the pulse parameters of each signal is sent to the PS terminal of the ZYNQ chip.

[0082] S4) The PS terminal of the ZYNQ chip uses the acquired pulse descriptor to match the radar feature parameters in the radar library. At the same time, the signal sorting module performs sorting calculation on the pulse descriptor, calculates the peripheral parameters based on the sorting calculation results and sends them to the peripheral device, and updates the radar library with the sorting calculation results. The jamming strategy decision module selects the corresponding jamming strategy based on the matched radar feature parameters and sends the jamming parameters of the selected jamming strategy to the PL terminal of the ZYNQ chip.

[0083] The interference signal generation module at the PL end of the S5ZYNQ chip generates corresponding interference signals based on the pulse signal data, pulse parameters, and corresponding interference parameters of each signal. Each interference signal is then sent to the RF microwave component via the corresponding DAC chip. The RF microwave component processes each interference signal and then sends it back.

[0084] The detection and guidance jamming system and rapid autonomous detection and guidance jamming method in this embodiment first utilize ultra-wideband single-bit ADC data acquisition technology to perform carrier frequency measurement and pulse signal detection on the received signals across the entire frequency band, guiding the local oscillator switching of the intermediate frequency receiver in real time. This enables real-time adaptive and rapid detection and guidance jamming of radar signals across multiple frequency bands. Second, a pre-loaded radar library is used, which is updated in real time based on the measured radar signal characteristic parameters. The system then autonomously selects jamming strategies by matching the measured radar characteristic parameters with the radar library parameters, achieving optimized jamming strategies. Finally, the ZYNQ platform is utilized, leveraging its hardware advantages to improve processing speed and the significant advantages of hardware-software co-design. This reduces data and command interaction latency and increases the probability of effectively jamming key pulse signals.

[0085] Based on the current status of high-speed single-bit ADC technology, the high-speed single-bit ADC sampling rate in this embodiment is 38.4 GSPS, and the full bandwidth range of the RF signal entering the high-speed single-bit ADC is 6-18 GHz; the sampling rate of the intermediate frequency ADC and intermediate frequency DAC is 4.8 GSPS, and the bandwidth range of the received and transmitted intermediate frequency signals is 2.6 GHz to 4.6 GHz; ZYNQ selects the xczu39dr-fsvf1760-2-i chip, which has abundant LUT, DSP, GTY, IO, and BRAM resources, dual-core collaborative processing, fast processing speed, and AXI bus data interaction between the PS and PL ends, with a maximum data interaction rate exceeding 3.2 GB / s, greatly reducing data interaction latency.

[0086] Ultra-wideband single-bit ADC data acquisition requires the use of single-bit frequency algorithms, such as radix-2 FFT, split FFT, and radix-4 FFT. Since the sampling rate of a high-speed single-bit ADC is 38.4 GHz, acquiring 1024 points requires 26.667 ns. After serial-to-parallel conversion by a high-speed serial transceiver, 1024 bits of data are output along with a 150 MHz synchronous clock. However, running a single-bit frequency algorithm, such as the radix-2 FFT algorithm, requires log1024 = 10 clock cycles to complete. 10 clock cycles of a 150 MHz clock are 66.667 ns, which is greater than 26.667 ns. This will cause data loss during high-speed single-bit ADC processing. To accelerate processing speed and ensure no data loss, this embodiment utilizes an asynchronous FIFO to switch the clock domain after the high-speed single-bit ADC data serial-to-parallel conversion, switching the data from a 150MHz clock domain to a 300MHz clock domain (the XCZU39DR-FSVF1760-2-I can achieve a processing speed of 300MHz). This results in a single radix-2 FFT algorithm processing time of 33.333ns, which is still greater than 26.667ns. Therefore, the high-speed single-bit ADC data is time-divided into slices, such as... Figure 5 As shown, the 2Nth data path enters Radix-2 FFT algorithm 1, and the 2N+1th data path enters Radix-2 FFT algorithm 2. Through the interleaved calculation of the two Radix-2 FFT algorithms, the processing time is only 16.667ns, which is less than 26.667ns, ensuring that the high-speed single-bit ADC data processing is not lost. In this way, by using high-speed single-bit ADC data acquisition combined with single-bit frequency measurement technology, the pulse detection time and RF band guidance switching time are as short as 26.667ns + pulse leading edge time 16.667*3 = 76.668ns, which plays a role in fast frequency band guidance RF local oscillator switching and pulse signal detection and interference guidance signal generation.

[0087] Based on this idea, such as Figure 6 As shown, in step S1) of this embodiment, the single-bit frequency band guidance module performs real-time pulse detection and coarse frequency measurement on the RF signal of the main channel, including the following steps:

[0088] S11) The high-speed single-bit ADC data is divided into time-division slices. The high-speed single-bit ADC data at even times is sent to the first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching. The high-speed single-bit ADC data at odd times is sent to the second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching.

[0089] S12) Obtain the amplitude of the spectrum line corresponding to the current time output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm, and perform maximum value retrieval. If the maximum amplitude of the spectrum line is greater than the threshold value, output the pulse signal identifier and save the frequency of the maximum amplitude of the spectrum line.

[0090] S13) Determine the pulse leading edge time based on the pulse signal identifier duration, and read the frequency corresponding to the maximum spectral amplitude output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm at the pulse leading edge time, as the leading edge frequency of the current pulse signal;

[0091] S14) If the leading edge frequency of the current pulse signal falls within the update region, select the RF down-conversion frequency band according to the RF local oscillator frequency code closest to the leading edge frequency.

[0092] Through the above steps, the single-bit frequency band guidance module first performs serial-to-parallel conversion and data clock domain switching on the high-speed single-bit ADC data at different times, and then sends them to the radix-2 FFT single-bit frequency algorithm corresponding to the even or odd time (radix-2 FFT algorithm is a mature technology, and this scheme does not involve any improvement to its specific calculation process, so the specific calculation process will not be described in detail here); each radix-2 FFT algorithm calculates and outputs the amplitude of 1024 spectral lines, and then performs a maximum value search to find the maximum value and corresponding spectral line among the 1024 spectral line amplitudes; the spectral line with the largest amplitude... The value is compared with a threshold (the threshold can be a preset value or a dynamically generated value; setting a threshold is a common method used by those skilled in the art, and this solution does not involve improvements to its specific implementation process, so the specific implementation process will not be described in detail here). If the maximum value of the spectral line amplitude is greater than the threshold, it indicates that the 1024 data points measured at the current moment are a valid pulse signal, and the pulse identifier and the frequency of the maximum value of the spectral line amplitude are output. To ensure the effective processing of a complete pulse signal and avoid frequent switching of the RF down-conversion local oscillator during the valid period of the pulse signal, which would cause cumbersome subsequent signal processing, the RF local oscillator switching timing is as follows: Figure 7 As shown, firstly, the arrival of the pulse leading edge is determined based on the pulse marker duration. At the pulse leading edge, the frequency corresponding to the maximum amplitude of the spectral line output by the radix-2 FFT algorithm at the even or odd time is read; this is the leading edge frequency of the current pulse signal. After reading the leading edge frequency of the pulse signal, as shown... Figure 8The signal is determined to fall within the local oscillator frequency range. When the leading edge frequency of the pulse signal falls within the local oscillator non-updating region, the local oscillator frequency is not switched. When it falls within the updating region, the RF down-conversion frequency band is selected according to the principle of the RF local oscillator frequency code closest to the leading edge frequency of the pulse.

[0093] like Figure 9 As shown, in step S3) of this embodiment, the pulse signal parameter measurement module measures the pulse parameters after down-converting each intermediate frequency signal according to the coarse frequency measurement result, specifically including the following steps:

[0094] S31) Convert the current intermediate frequency signal data from serial to parallel to the 300MHz clock domain; since the intermediate frequency ADC has a high sampling rate, it is necessary to convert the data from serial to parallel to the 300MHz clock domain, with 16 points in one clock cycle;

[0095] S32) Based on the pulse signal identifier and the leading edge frequency of the pulse signal, the data of the current intermediate frequency signal after serial-to-parallel conversion is down-converted to obtain 16 parallel data channels; since the single-bit sampling rate is 38.4G, the number of FFT points is 1024, and the pulse leading edge frequency resolution is 38.4*1000 / 1024=37.5MHZ, in order to ensure the accuracy of subsequent parameter measurement and processing speed, the intermediate frequency ADC data is down-converted based on the pulse signal detection identifier and the leading edge frequency of the pulse signal. After down-conversion, the data is low-pass filtered. In this embodiment, a multi-pass filtering method is used.

[0096] S33) After low-pass filtering of the 16 parallel data channels, the data is decimated by 16 times, and then pulse parameters are measured to generate corresponding pulse descriptors. The pulse parameter measurement includes the measurement of parameters such as fine frequency, bandwidth, TOA, pulse width, and signal amplitude. Pulse parameter measurement is a method commonly used by those skilled in the art. This solution does not involve improvements to the specific measurement process, and the specific measurement process will not be described in detail here.

[0097] In step S4) of this embodiment, the signal sorting module uses a sorting algorithm to calculate the target radar's carrier frequency, multiple cycles, pulse width, power, azimuth, elevation and other parameter information. The sorting algorithm is a commonly used algorithm by those skilled in the art. This solution does not involve any improvement to its specific calculation process, and the specific calculation process will not be described in detail here.

[0098] Step S4 of this embodiment is as follows: Figure 10 As shown, it includes the following steps:

[0099] S41) Match the pulse descriptor of the current signal against the radar database. If a matching radar characteristic parameter exists for the current signal, execute a precise guided jamming strategy; such as Figure 11As shown, PDW first enters the radar library to perform radar parameter matching. If the parameter matching is successful, it enters precise guidance jamming. If the parameter matching is unsuccessful, it means that a new target radar may have been detected. It then enters rapid guidance jamming, waits for the signal sorting results to be output, the radar library parameters are updated, and then generates a precise guidance jamming pattern based on the new radar parameters before switching to precise guidance jamming.

[0100] S42) If there are no matching radar characteristic parameters for the current signal, execute the fast-guided jamming strategy, wait for the sorting calculation result of the pulse descriptor of the current signal, update the radar library with the sorting calculation result, and then switch the fast-guided jamming strategy to the precise-guided jamming strategy.

[0101] In this embodiment, the data in the radar database is not limited to radar carrier frequency, pulse width, pulse repetition interval, and location information, but also includes detailed information such as radar model, anti-jamming measures, threat level, optimal jamming pattern, and specific jamming parameter settings. The radar parameter PDW code stream obtained through reconnaissance is matched with the radar parameter database. If a match is successful, the radar threat level can be directly determined based on the corresponding information in the radar parameter database, and jamming can be generated using the predetermined jamming pattern and jamming parameter settings from the database. Based on the precise and complete information in the radar parameter database, jamming against known radar targets can be achieved in one step, achieving the optimal jamming effect against the target radar with minimal real-time jamming resources and a rapid response speed.

[0102] like Figure 12 and Figure 13 As shown, the interference strategy selection in this embodiment depends on the matching of parameters contained in the pulse descriptor, wherein the interference strategy for fast-guided interference includes:

[0103] A1) Match the target parameters in the pulse descriptor of the current signal to the radar library. In this embodiment, the target parameters include some parameters such as pulse width, carrier frequency, and modulation type. If there is no matching result for the target parameters, the current signal is amplified and then directly forwarded to the radio frequency microwave component for transmission.

[0104] A2) If only the carrier frequency is successfully matched among the target parameters, the corresponding interference pattern is selected according to the signal strength. Specifically, if the signal strength is greater than the target value, the suppression interference or the combination of suppression interference and deception interference is selected. If the signal strength is less than the target value, the deception interference pattern is selected. After selecting the interference pattern, the selected interference pattern is preloaded to obtain the corresponding interference parameters, thereby achieving a rapid guidance interference effect.

[0105] Precise guidance jamming involves using reconnaissance information such as target radar signal power, angle, pulse repetition interval, and carrier frequency mode to determine the threat level of the target radar, select jamming patterns, and set jamming parameters, thereby generating corresponding guidance commands to guide jamming. The selection of the jamming pattern is determined by three factors: the target radar's operating mode, carrier frequency mode, and the target radar's distance. The pulse repetition interval (PRI) is one of the important parameters for identifying the target radar's operating mode. Common radar operating modes include target search, target tracking, and target engagement. In search mode, the radar pulse repetition interval is the longest due to factors such as the search cycle and effective range. In tracking mode, the repetition period is the longest. In engagement mode, to quickly update the radar target position and ensure accuracy, the repetition period is the shortest. Since the pulse repetition intervals differ significantly among the three operating modes, the operating mode can be simply identified based on the detected PRI information. The measured power of the target radar signal reflects the distance to the target radar. Figure 13 As shown, the jamming strategies for precise guidance include:

[0106] B1) Match the target parameters in the pulse descriptor of the current signal to the radar database. If all target parameters have matching results, obtain the sorting result corresponding to the pulse descriptor of the current signal.

[0107] B2) Based on the level determination results of the information in the sorting results, select the corresponding interference pattern and generate the corresponding interference parameters. Specifically:

[0108] If the pulse repetition interval level is large and the power level is weak, select the narrowband frequency sweep in the search mode;

[0109] If the pulse repetition interval level is large and the power level is strong, select the smart noise in the search mode;

[0110] If the pulse repetition interval level is medium, select the distance dragging mode in the tracking mode;

[0111] If the pulse repetition interval level is small and the power level is strong, select intermittent sampling forwarding or echo simulation in the strike mode;

[0112] If the pulse repetition interval level is small and the power level is weak, select the combined distance and speed dragging mode in the strike mode.

[0113] It should be noted that the jamming processes of suppression jamming, deception jamming, search mode, tracking mode, strike mode, as well as narrowband frequency sweeping in search mode, smart noise in search mode, range dragging in tracking mode, intermittent sampling forwarding or echo simulation in strike mode, and combined range and velocity dragging in strike mode are all well known to those skilled in the art. This solution does not involve any improvement to the jamming process, and the specific jamming process will not be described in detail here.

[0114] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Therefore, any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention should fall within the protection scope of the present invention.

Claims

1. A rapid autonomous detection and guidance jamming method based on the ZYNQ platform, characterized in that, An application to a detection and guidance jamming system, the detection and guidance jamming system comprising a radio frequency microwave component, a ZYNQ chip, and peripheral devices connected in sequence, the method comprising: S1) The RF microwave component acquires the RF signal, and sends the RF signal of the main channel to the high-speed single-bit ADC. After receiving the high-speed single-bit ADC data, the PL terminal of the ZYNQ chip performs real-time pulse detection and coarse frequency measurement on the RF signal of the main channel, including the following steps: S11) The high-speed single-bit ADC data is divided into time-division slices. The high-speed single-bit ADC data at even times is sent to the first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching. The high-speed single-bit ADC data at odd times is sent to the second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching. S12) Obtain the amplitude of the spectrum line corresponding to the current time output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm, and perform maximum value retrieval. If the maximum amplitude of the spectrum line is greater than the threshold value, output the pulse signal identifier and save the frequency of the maximum amplitude of the spectrum line. S13) Determine the pulse leading edge time based on the pulse signal identifier duration, and read the frequency corresponding to the maximum spectral amplitude output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm at the pulse leading edge time, as the leading edge frequency of the current pulse signal; S14) If the leading edge frequency of the current pulse signal falls within the update region, select the radio frequency down-conversion band according to the radio frequency local oscillator frequency code closest to the leading edge frequency; S2) The radio frequency microwave component switches the radio frequency down-conversion local oscillator frequency according to the coarse frequency measurement result, down-converts the radio frequency signal of each channel to obtain the corresponding intermediate frequency signal, and then inputs each intermediate frequency signal into the corresponding intermediate frequency ADC; S3) The PL terminal of the ZYNQ chip differentially receives the intermediate frequency signals of each intermediate frequency ADC. Based on the coarse frequency measurement results, the pulse parameters of each intermediate frequency signal are measured after down-conversion. The pulse description words corresponding to the pulse parameters of each signal are sent to the PS terminal of the ZYNQ chip. S4) The PS terminal of the ZYNQ chip uses the acquired pulse descriptor to match the radar feature parameters in the radar library. At the same time, it performs sorting calculation on the pulse descriptor, calculates the peripheral parameters based on the sorting calculation results and sends them to the peripheral device, updates the radar library with the sorting calculation results, selects the corresponding jamming strategy based on the matched radar feature parameters, and sends the jamming parameters of the selected jamming strategy to the PL terminal of the ZYNQ chip. S5) The PL terminal of the ZYNQ chip generates corresponding interference signals based on the pulse signal data, pulse parameters and corresponding interference parameters of each signal. Each interference signal is sent to the RF microwave component through the corresponding DAC chip. The RF microwave component processes each interference signal and then sends it.

2. The method of claim 1, wherein the ZYNQ platform-based fast autonomous detection and guidance jamming method is characterized by, The first single-bit frequency algorithm and the second single-bit frequency algorithm are both any one of the radix-2 FFT algorithm, the split FFT algorithm, and the radix-4 FFT algorithm.

3. The ZYNQ platform based fast autonomous detection and guidance jamming method according to claim 1, wherein, The high-speed single-bit ADC has a sampling rate of 38.4 GSPS, and the intermediate frequency ADC has a sampling rate of 4.8 GSPS. In step S3), based on the coarse frequency measurement results, the pulse parameters are measured after down-conversion of each intermediate frequency signal, specifically including: S31) Convert the data of the current intermediate frequency signal from serial to parallel to the 300MHz clock domain; S32) Based on the pulse signal identifier and the leading edge frequency of the pulse signal, the data of the current intermediate frequency signal after serial-to-parallel conversion is down-converted to obtain 16 parallel data channels; S33) After low-pass filtering of the 16 parallel data channels, the data is decimated by 16 times, then pulse parameters are measured, and corresponding pulse descriptors are generated.

4. The method of claim 1, wherein the ZYNQ platform-based fast autonomous detection and guidance jamming method is characterized by, Step S4) includes the following steps: S41) Match the pulse descriptor of the current signal to the radar database. If the current signal has matching radar characteristic parameters, execute the jamming strategy of precise guided jamming. S42) If there are no matching radar characteristic parameters for the current signal, execute the fast-guided jamming strategy, wait for the sorting calculation result of the pulse descriptor of the current signal, update the radar library with the sorting calculation result, and then switch the fast-guided jamming strategy to the precise-guided jamming strategy.

5. The method of claim 4, wherein the ZYNQ platform-based fast autonomous detection and guidance jamming method is characterized by, The interference strategy for rapid guidance interference includes: A1) Match the target parameters in the pulse descriptor of the current signal to the radar database. If there is no matching result for any of the target parameters, amplify the power of the current signal and transmit it directly. A2) If only the carrier frequency is successfully matched among the target parameters, select the corresponding interference pattern according to the signal strength, preload the selected interference pattern, and obtain the corresponding interference parameters.

6. The method of claim 5, wherein the ZYNQ platform-based fast autonomous detection and guidance jamming method is characterized by, Step A2) Selecting the corresponding interference style based on the signal strength specifically includes: if the signal strength is greater than the target value, select the suppression interference or the combination of suppression interference and deception interference; if the signal strength is less than the target value, select the deception interference style.

7. The method of claim 4, wherein the ZYNQ platform-based fast autonomous detection and guidance jamming method is characterized by, The precise guidance interference strategy includes: B1) Match the target parameters in the pulse descriptor of the current signal to the radar database. If all target parameters have matching results, obtain the sorting result corresponding to the pulse descriptor of the current signal. B2) Based on the grade determination results of the information in the sorting results, select the corresponding interference pattern and generate the corresponding interference parameters.

8. The rapid autonomous detection and guidance jamming method based on the ZYNQ platform according to claim 7, characterized in that, Step B2) involves selecting the corresponding interference pattern based on the level determination results of the information in the sorting results. This specifically includes: If the pulse repetition interval level is large and the power level is weak, select the narrowband frequency sweep in the search mode; If the pulse repetition interval level is large and the power level is strong, select the smart noise in the search mode; If the pulse repetition interval level is medium, select the distance dragging mode in the tracking mode; If the pulse repetition interval level is small and the power level is strong, select intermittent sampling forwarding or echo simulation in the strike mode; If the pulse repetition interval level is small and the power level is weak, select the combined distance and speed dragging mode in the strike mode.

9. A detection and guidance jamming system characterized by, It includes a radio frequency microwave component, a ZYNQ chip, and peripheral devices connected in sequence. The ZYNQ chip includes a PL terminal and a PS terminal, wherein: The radio frequency microwave component is used to acquire radio frequency signals, send the radio frequency signals of the main channel to a high-speed single-bit ADC, switch the radio frequency down-conversion local oscillator frequency according to the coarse frequency measurement results, down-convert the radio frequency signals of each channel to obtain the corresponding intermediate frequency signals, then input each intermediate frequency signal into the corresponding intermediate frequency ADC, and also process and send each interference signal. The PL terminal is used to receive high-speed single-bit ADC data and perform real-time pulse detection and coarse frequency measurement on the RF signal of the main channel. It is also used to differentially receive the intermediate frequency signals from each intermediate frequency ADC. Based on the coarse frequency measurement results, it performs down-conversion on each intermediate frequency signal and measures the pulse parameters. Furthermore, it is used to generate corresponding interference signals based on the pulse signal data, pulse parameters, and corresponding interference parameters of each signal. Each interference signal is then sent to the RF microwave component via its corresponding DAC chip. The real-time pulse detection and coarse frequency measurement of the RF signal of the main channel includes the following steps: The high-speed single-bit ADC data is divided into time-division slices. The high-speed single-bit ADC data at even times is sent to the first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching. The high-speed single-bit ADC data at odd times is sent to the second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching. Obtain the amplitude of the spectral line corresponding to the current moment output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm, and perform maximum value retrieval. If the maximum amplitude of the spectral line is greater than the threshold value, output a pulse signal identifier and save the frequency of the maximum amplitude of the spectral line. The pulse leading edge time is determined based on the duration of the pulse signal identifier. At the pulse leading edge time, the frequency corresponding to the maximum spectral amplitude output by the first single-bit frequency algorithm and / or the second single-bit frequency algorithm is read as the leading edge frequency of the current pulse signal. If the leading frequency of the current pulse signal falls within the update region, the RF downconversion frequency band is selected based on the RF local oscillator frequency code closest to the leading frequency. The PS terminal is used to acquire pulse descriptors and match them with radar feature parameters in the radar library. At the same time, it performs sorting calculations on the pulse descriptors, calculates peripheral parameters based on the sorting calculation results and sends them to peripheral devices, updates the radar library with the sorting calculation results, and selects the corresponding jamming strategy based on the matched radar feature parameters. The peripheral device is used to perform corresponding actions based on the peripheral parameters.

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