CN116736241A - ZYNQ platform-based rapid autonomous detection guide interference method and system - Google Patents

ZYNQ platform-based rapid autonomous detection guide interference method and system Download PDF

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Publication number
CN116736241A
CN116736241A CN202310587305.6A CN202310587305A CN116736241A CN 116736241 A CN116736241 A CN 116736241A CN 202310587305 A CN202310587305 A CN 202310587305A CN 116736241 A CN116736241 A CN 116736241A
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interference
pulse
frequency
signal
parameters
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童智勇
邓海平
王萌
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Hunan Econavi Technology Co Ltd
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Hunan Econavi Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/38Jamming means, e.g. producing false echoes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications

Abstract

The invention discloses a ZYNQ platform-based rapid autonomous detection pilot interference method, which is applied to a detection pilot interference system and comprises the following steps: sending the main channel radio frequency signal into a high-speed single-bit ADC, and receiving high-speed single-bit ADC data by a PL terminal, and then carrying out real-time pulse detection and coarse frequency measurement; down-converting the radio frequency signals of each channel by the rough frequency measurement result and inputting the down-converted signals into a corresponding intermediate frequency ADC; the PL end differentially receives signals of all intermediate frequency ADC according to the rough frequency measurement result, then carries out down-conversion measurement on pulse parameters, and sends pulse description words to the PS end; the PS end uses pulse description word matching Lei Daku to sort and calculate the pulse description word, sends the calculation result to the peripheral equipment, updates a radar library with the calculation result, selects a corresponding interference strategy according to the matched radar characteristic parameters, and sends the interference parameters to the PL end; the PL terminal generates an interference signal according to the pulse parameters and the interference parameters of each signal, and the interference signal is sent after being processed. The invention can quickly detect and guide interference of the real-time self-adaptive radar signal.

Description

ZYNQ platform-based rapid autonomous detection guide interference method and system
Technical Field
The invention relates to the field of radar application, in particular to a ZYNQ platform-based rapid autonomous detection guiding interference method and system.
Background
Radar is the most effective remote electronic detection equipment so far, along with the increasingly wide application of radar equipment, research on radar signal detection interference technology is also increasingly important, and in radar signal detection guiding interference systems, two main technical schemes exist at present:
1. scheme based on Modulation broadband converter (Modulation WidebandConverter, MWC) structure
The scheme based on the modulation broadband converter structure is shown in fig. 1, and mainly comprises dividing a received signal into sub-bands through a front-end analog channelized structure, performing down-conversion processing to obtain a baseband signal, mixing the baseband signal with a mixing sequence, summing to obtain a sum signal, performing interference of a specified interference pattern on the sum signal to obtain an interference signal, mixing the interference signal with a periodic mixing sequence to obtain an interference mixing signal, performing up-conversion processing on the interference mixing signal to obtain an interference modulation signal, and finally, passing the interference modulation signal through a filter bank and summing to obtain a final interference signal.
For example, patent application number CN202010273015.0 discloses a scout interference integrated system, the first part being a multiplexing reception part. Dividing the received signal into sub-bands by utilizing a front-end analog channelizing structure, performing down-conversion processing to obtain a baseband signal, mixing and summing the baseband signal and a periodic pseudo-random sequence to obtain a compressed signal, and providing the compressed signal to a subsequent compressed signal interference generating part. The second part is a compressed signal interference generating part in which a compressed signal direct interference form is adopted. And adding a specified interference pattern to the compressed signal output by the front end of the receiver to obtain the sum form of the interference signals, and providing the sum form of the interference signals to a subsequent random unmixing part. The third part is a random unmixing part, in which the sum form of the interference signals is mixed with the periodic pseudo-random sequence to obtain interference mixed signals, and the interference mixed signals are provided for the subsequent interference transmitting part. The fourth part is an interference transmitting part, which comprises an up-conversion part and a filtering part, and the interference transmitting part carries out up-conversion processing on the interference mixing signal to obtain an interference modulation signal. The interference modulation signals are summed after passing through the filter bank to obtain the final interference signals.
According to the scheme, process analysis is implemented mainly aiming at the fact that the bandwidth of the radar signal is large at present, the requirements of a system on the number of paths and the data rate of ADC and DAC are reduced by utilizing a signal suppression technology, but the scheme does not conduct further signal characteristic analysis on the radar signal, does not conduct radar pulse signal detection and pulse signal parameter measurement, cannot acquire parameter information such as pulse radar repetition period, arrival time, pulse width, modulation type, target azimuth and pitching, and the like, can only add a specified interference pattern to the signal to obtain the sum form of the interference signal, cannot achieve the function of independently selecting the interference pattern according to detected signal characteristics, and cannot implement more rapid and effective interference on the target.
2. Digital channelizing scheme based on FPGA+DSP+upper frame structure
The scheme of digital channelizing based on FPGA+DSP+upper frame is shown in figure 2, the upper computer manually controls the frequency of the radio frequency down-conversion local oscillation in advance, the radio frequency signals enter the microwave assembly through the antenna and then down-convert to intermediate frequency signals and enter the ADC, the FPGA carries out digital channelizing on the acquired ADC signals, then pulse signal detection and pulse signal parameter measurement are carried out on the signals in each channel, the FPGA uploads the measured result PDW to the DSP, the DSP sorts the received PDW, calculates parameter information such as target radar signal weight, carrier frequency, pulse width, amplitude and the like, and uploads the parameter information to the upper computer, the upper computer sends down interference type, interference frequency point and other parameters according to the sorted result, the FPGA generates corresponding interference signals according to the received interference parameters, and the digital interference signals are transmitted out through the DAC, microwave up-conversion, power amplification and then the interference signals are transmitted through the antenna.
For example, patent application number cn202210066927.X discloses a passive detection and reconnaissance interference integrated device and method, a local oscillator frequency point set by an upper computer is sent to a microwave radio frequency module through a DSP module and an FPGA module, a receiving antenna receives a radiation source signal, and the radiation source signal is transmitted to the microwave radio frequency module to perform automatic gain control and down-conversion to obtain a real signal; the ADC module performs intermediate frequency band-pass sampling on the signals to obtain digital signals, and transmits the digital signals to the FPGA module for signal detection; the FPGA module carries out channelized processing on the digital signal to obtain an IQ component; detecting the selected main channel and measuring the pulse description words, and reporting the detected main channel and the pulse description words to the DSP for signal sorting to obtain a sorting result in a radar form; the DSP module reports the sorting result to the upper computer, and the upper computer transmits the interference scrambling point and the tracking target parameter to the FPGA module; the FPGA generates an interference pattern for the target radar according to the interference frequency point and the interference pattern issued by the upper computer, and after the digital interference signal is converted by the DAC module, the digital interference signal is subjected to microwave up-conversion and power amplification and then is transmitted by the transmitting antenna.
The scheme has the following defects: firstly, the down-conversion local oscillation frequency of the radio frequency microwave component is manually controlled by an upper computer, and is limited by the sampling frequency limit of the current multi-bit ADC chip, the signal bandwidth of an intermediate frequency signal receiver is generally not more than 2G and is insufficient to cover the whole radar signal frequency band, so that the system needs to continuously poll and detect the radar signals in each frequency band in a passive detection and detection stage, radar targets in different frequency bands cannot be detected and interfered in real time, and meanwhile, large delay of target signal interference is caused, and even tracking of target signals is lost; secondly, the scheme adopts a digital channelizing technology to process radar pulse signals, and the digital channelizing has the advantages that a plurality of signals in a plurality of non-identical channels in a frequency band can be detected and identified simultaneously, but has the defect that the digital channelizing needs to use a channelizing filter bank or a fast Fourier transform and inverse transform technology, so that the pulse signal detection delay and the resource consumption of a multiplier are overlarge, and particularly when the order of the filter bank is large and the number of fast Fourier transform points is large, the delay is larger, and further, effective interference cannot be implemented on radar pulse signals with smaller heavy cycles; thirdly, in the scheme, the interference type and the interference parameters are required to be set and issued by an upper computer and forwarded by a DSP, so that the delay of data and command interaction is large, and the probability that effective interference cannot be implemented by a key pulse signal is increased.
The ZYNQ platform has the advantages of high data interaction speed, low data interaction delay and the like through dual-core cooperative processing and software and hardware cooperative design, and how to realize a reconnaissance guide interference scheme based on the ZYNQ platform so as to overcome the problems of the existing scheme is worth of intensive study and discussion.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems existing in the prior art, the invention provides a ZYNQ platform-based rapid autonomous detection and guide interference method and system, which are improved on the scheme of a traditional FPGA+DSP+upper frame structure reconnaissance interference system, can rapidly and autonomously select an interference form, accelerate the pulse signal detection speed and reduce the time delay of an interference signal.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
the fast autonomous detection guiding interference method based on ZYNQ platform is applied to a detection guiding interference system, the detection guiding interference system comprises a radio frequency microwave component, a ZYNQ chip and peripheral equipment which are connected in sequence, and the method comprises the following steps:
s1) acquiring radio frequency signals by a radio frequency microwave assembly, sending the radio frequency signals of a main channel into a high-speed single-bit ADC (analog-to-digital converter), and carrying out pulse detection and coarse frequency measurement on the radio frequency signals of the main channel in real time after the PL end of a ZYNQ chip receives high-speed single-bit ADC data;
s2) switching the radio frequency down-conversion local oscillation frequency by the radio frequency microwave component according to the coarse frequency measurement result, down-converting the radio frequency signals of all channels to obtain corresponding intermediate frequency signals, and then inputting all the intermediate frequency signals into corresponding intermediate frequency ADC;
s3) the PL end of the ZYNQ chip differentially receives intermediate frequency signals of each intermediate frequency ADC, respectively carries out down-conversion on each intermediate frequency signal according to the rough frequency measurement result, then measures pulse parameters, and sends pulse description words corresponding to the pulse parameters of each signal to the PS end of the ZYNQ chip;
s4) the PS end of the ZYNQ chip matches radar characteristic parameters in Lei Daku by using the obtained pulse description words, meanwhile, sorting calculation is carried out on the pulse description words, peripheral parameters are calculated according to the sorting calculation result and sent to peripheral equipment, lei Daku is updated by using the sorting calculation result, a corresponding interference strategy is selected according to the matched radar characteristic parameters, and the interference parameters of the selected interference strategy are sent to the PL end of the ZYNQ chip;
s5) the PL end of the ZYNQ chip generates corresponding interference signals according to the pulse signal data, the pulse parameters and the corresponding interference parameters of each signal, each interference signal is sent to the radio frequency microwave component through the corresponding DAC chip, and the radio frequency microwave component processes and then sends each interference signal.
Further, the step S1) of performing pulse detection and coarse frequency measurement on the radio frequency signal of the main channel in real time includes the following steps:
s11) carrying out time-sharing slicing on high-speed single-bit ADC data, sequentially sending the high-speed single-bit ADC data at even moments into a first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching, and sequentially sending the high-speed single-bit ADC data at odd moments into a second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching;
s12) acquiring the amplitude value 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, searching the maximum value, and if the maximum value of the spectral line amplitude is greater than a threshold value, outputting a pulse signal identifier and storing the maximum value frequency of the spectral line amplitude;
s13) judging the pulse front time according to the pulse signal identification duration, and reading the frequency corresponding to the maximum value of the spectral line amplitude output by the first single-bit frequency algorithm and/or the second single-bit frequency algorithm at the pulse front time as the front frequency of the current pulse signal;
s14) if the front edge frequency of the current pulse signal falls in the updating area, selecting a radio frequency down-conversion frequency band according to the radio frequency local oscillation frequency code nearest to the front edge frequency.
Further, the first single-bit frequency algorithm and the second single-bit frequency algorithm are any one of a base-2 FFT algorithm, a split FFT algorithm and a base-4 FFT algorithm.
Further, the high-speed single-bit ADC sampling rate is 38.4GSPS, and the intermediate-frequency ADC sampling rate is 4.8GSPS, in step S3), according to the coarse frequency measurement result, measuring pulse parameters after down-converting each intermediate-frequency signal respectively specifically includes:
s31) carrying out serial-parallel conversion on the data of the current intermediate frequency signal to a 300M clock domain;
s32) carrying out down-conversion processing on the data of the current intermediate frequency signal after serial-parallel conversion according to the pulse signal identification and the leading edge frequency of the pulse signal to obtain 16 paths of parallel data;
s33) performing low-pass filtering processing on the 16 paths of parallel data, extracting 16 times, measuring pulse parameters, and generating corresponding pulse description words.
Further, step S4) includes the steps of:
s41) matching Lei Daku by using the pulse description word of the current signal, and executing an interference strategy of accurately guiding interference if the current signal has matched radar characteristic parameters;
s42) if the current signal does not have the matched radar characteristic parameters, executing an interference strategy for quickly guiding the interference, waiting for a sorting calculation result of the pulse description word of the current signal, and switching the interference strategy for quickly guiding the interference into an interference strategy for accurately guiding the interference after updating the radar library by using the sorting calculation result.
Further, the interference strategy of the fast pilot interference includes:
a1 Using target parameters in pulse description words of the current signal to match Lei Daku, and if the target parameters do not have a matching result, directly transmitting the current signal after power amplification;
a2 If only carrier frequency matching is successful in the target parameters, selecting a corresponding interference pattern according to the signal strength, and preloading the selected interference pattern to obtain the corresponding interference parameters.
Further, in the step A2), selecting a corresponding interference pattern according to the signal strength specifically includes: and if the signal strength is greater than the target value, selecting a suppression interference or suppression interference and spoofing interference combined pattern, and if the signal strength is less than the target value, selecting a spoofing interference pattern.
Further, the interference strategy of the accurate pilot interference includes:
b1 Using target parameters in the pulse description words of the current signal to match Lei Daku, and if all target parameters have matching results, obtaining a sorting result corresponding to the pulse description words of the current signal;
b2 Selecting a corresponding interference pattern according to the grade judgment result of the information in the sorting result, and generating corresponding interference parameters.
Further, in step B2), selecting a corresponding interference pattern according to the level determination result of the information in the sorting result specifically includes:
if the pulse repetition interval level is large and the power level is weak, selecting a narrow-band frequency sweep in a search mode;
if the pulse repetition interval level is large and the power level is strong, smart noise in the search mode is selected;
if the pulse repetition interval level is the same, selecting a distance drag in a tracking mode;
if the pulse repetition interval level is small and the power level is strong, intermittent sampling forwarding or echo simulation in the striking mode is selected;
if the pulse repetition interval level is small and the power level is weak, selecting the distance speed combined dragging in the striking mode.
The invention also provides a detection guiding interference system, which comprises a radio frequency microwave assembly, a ZYNQ chip and peripheral equipment which are connected in sequence, wherein the ZYNQ chip comprises a PL end and a PS end, and the detection guiding interference system comprises:
the radio frequency microwave component is used for acquiring radio frequency signals, sending the radio frequency signals of the main channels into the high-speed single-bit ADC, switching the radio frequency down-conversion local oscillation frequency according to the coarse frequency measurement result, down-converting the radio frequency signals of the channels to obtain corresponding intermediate frequency signals, inputting the intermediate frequency signals into the corresponding intermediate frequency ADC, and sending the interference signals after processing the interference signals;
the PL terminal is used for receiving the high-speed single-bit ADC data, then carrying out pulse detection and rough frequency measurement on the radio frequency signals of the main channel in real time, differentially receiving the intermediate frequency signals of each intermediate frequency ADC, respectively carrying out down-conversion on each intermediate frequency signal according to the rough frequency measurement result, then measuring pulse parameters, generating corresponding interference signals according to the pulse signal data, the pulse parameters and the corresponding interference parameters of each signal, and sending each interference signal to the radio frequency microwave component through the corresponding DAC chip;
the PS end is used for acquiring pulse description words and matching radar characteristic parameters in Lei Daku by using the pulse description words, sorting and calculating the pulse description words at the same time, calculating peripheral parameters according to sorting and calculating results and sending the peripheral parameters to peripheral equipment, updating Lei Daku by using sorting and calculating results, and selecting a corresponding interference strategy according to the matched radar characteristic parameters;
the peripheral device is used for executing corresponding actions according to the peripheral parameters.
Compared with the prior art, the invention has the advantages that:
the invention firstly utilizes ultra-wideband single-bit ADC data acquisition technology to carry out carrier frequency measurement and pulse signal detection on signals received in the full frequency band, and guides local oscillation switching of an intermediate frequency receiver in real time, thereby being capable of self-adapting to rapid reconnaissance and interference guiding of radar signals in a plurality of frequency bands in real time; secondly, a pre-loaded radar library is adopted, lei Daku is updated in real time according to the real-time measured radar signal characteristic parameters, and an interference strategy is selected independently in a matching mode of the real-time measured radar characteristic parameters and the radar library parameters, so that the effect of optimizing the interference strategy is achieved; finally, by utilizing the ZYNQ platform, the hardware advantages of the ZYNQ platform can be fully utilized to improve the processing speed and the obvious advantages of the software and hardware collaborative design, so that the delay of data and command interaction can be reduced, and the probability of effective interference implementation of key pulse signals is increased.
Drawings
Fig. 1 is a block diagram of a scout interference integration system based on MWC technology.
Fig. 2 is a block diagram of a scout interference integrated system based on fpga+dsp+upper computer architecture.
Fig. 3 is a block diagram of a system for detecting pilot interference according to an embodiment of the present invention.
Fig. 4 is a flow chart of a method according to an embodiment of the invention.
Fig. 5 is a timing diagram of the high-speed single-bit ADC sampling data after time-slicing according to an embodiment of the invention.
FIG. 6 is a flowchart of a single-bit band pilot module at the PL end of the ZYNQ chip in an embodiment of the invention.
Fig. 7 is a schematic diagram of a pulse signal identification timing according to an embodiment of the invention.
Fig. 8 is a schematic diagram of a local oscillator frequency update range according to an embodiment of the present invention.
Fig. 9 is a flow chart of pulse signal parameter measurement according to an embodiment of the invention.
FIG. 10 is a flow chart of radar base parameter matching and parameter updating in an embodiment of the invention.
Fig. 11 is a flowchart of interference policy selection in an embodiment of the present invention.
Fig. 12 is a flow chart of the fast pilot interference in an embodiment of the present invention.
Fig. 13 is a flow chart of the accurate pilot interference in an embodiment of the present invention.
Detailed Description
The invention is further described below in connection with the drawings and the specific preferred embodiments, but the scope of protection of the invention is not limited thereby.
Aiming at the defects of the current reconnaissance guiding interference scheme, we propose a detection guiding interference system, as shown in fig. 3, which comprises a radio frequency microwave component, a ZYNQ chip and peripheral equipment which are sequentially connected, wherein a single-bit frequency band guiding module, a pulse signal parameter measuring module and an interference signal generating module are arranged at the PL end of the ZYNQ chip, a signal sorting module, a Lei Daku and an interference strategy decision module are arranged at the PS end of the ZYNQ chip, and the detection guiding interference system works as follows:
1. the radio frequency signals are transmitted to the radio frequency microwave assembly through the receiving antenna group for filtering and amplifying, wherein the radio frequency signals of the main channel are subjected to two paths of power division in the radio frequency microwave assembly, one path of broadband signals obtained through power division are transmitted to the high-speed single-bit ADC chip, and the other path of signals obtained through power division and the radio frequency signals of other channels are subsequently subjected to internal down-conversion and intermediate frequency filtering of the radio frequency microwave assembly and then transmitted to the corresponding intermediate frequency ADC chips, namely ADC1 to ADC4 in fig. 3;
2. the PL end receives high-speed single-bit ADC data through a high-speed serial interface GTY, and the data is sent to a single-bit frequency band guiding module after serial-parallel conversion;
3. the single bit frequency band guiding module detects a pulse signal and roughly measures frequency of the received radio frequency signal in real time by utilizing a single bit frequency measurement technology, and the result of the roughly measures frequency of the pulse signal front edge measurement;
4. the radio frequency microwave component switches the radio frequency down-conversion local oscillation frequency according to the result of the coarse frequency measurement of the single-bit frequency band guiding module, down-converts the radio frequency signals received by each antenna in the receiving antenna group to intermediate frequency, and sends the intermediate frequency signals to corresponding intermediate frequency ADC chips in the 4 intermediate frequency ADCs;
5. the PL end receives 4 paths of ADC intermediate frequency data transmitted by 4 intermediate frequency ADCs through a high-speed LVDS differential interface, the 4 paths of intermediate frequency ADC data are sent to a pulse signal parameter measurement module after serial-parallel conversion, the pulse parameter measurement module further carries out subsequent pulse parameter measurement after carrying out down-conversion on the 4 paths of intermediate frequency ADC data according to rough measurement frequency output by a single-bit frequency band guide module, the generated PDW (pulse description word) is sent to the PS end, and pulse signal data, a mark and corresponding pulse parameters identified in the 4 paths of intermediate frequency ADC data are sent to an interference signal generation module;
6. the interference signal generating module generates corresponding interference signals according to the received pulse signal data, the identification, the parameters and the interference types and parameters issued by the PS end in advance, and sends the interference signals into the radio frequency microwave assembly through the corresponding intermediate frequency DAC, and the interference signals are transmitted out by the transmitting antenna group after filtering, up-conversion and amplification;
7. the PS end sends the PDW generated by the received pulse signal parameter measurement module to a signal sorting module, sorts and calculates the carrier frequency, bandwidth, amplitude, heavy circumference, azimuth, pitching and other parameter information of the corresponding pulse signal, and sends the carrier frequency, bandwidth, amplitude, heavy circumference, azimuth, pitching and other parameter information to a Lei Daku;
8. the PDW is sent to a radar library to perform radar characteristic parameter matching, and a parameter matching result is output to an interference strategy decision module;
9. the interference strategy decision module selects an interference guiding pattern and related parameters according to the matching result, and sends the interference guiding pattern and the related parameters to the interference signal generation module, and updates the interference type and the parameters in the interference signal generation module;
10. after the PS end selects the pulse related parameter information, related peripheral parameter information is calculated, and the peripheral parameter information is transmitted to corresponding peripheral equipment through a peripheral interface, for example, the rotating angle of the turntable is calculated according to the azimuth, the pitching and other parameter information and is transmitted to the turntable, so that the target motion trail is tracked in real time.
As shown in fig. 4, we also propose a fast autonomous detection pilot interference method based on the ZYNQ platform, which is applied to the detection pilot interference system of this embodiment, and the method includes the following steps:
s1) acquiring radio frequency signals by a radio frequency microwave assembly, sending the radio frequency signals of a main channel into a high-speed single-bit ADC, and carrying out pulse detection and rough frequency measurement on the radio frequency signals of the main channel in real time after a single-bit frequency band guide module at the PL end of a ZYNQ chip receives high-speed single-bit ADC data;
s2) switching the radio frequency down-conversion local oscillation frequency by the radio frequency microwave component according to the coarse frequency measurement result, down-converting the radio frequency signals of all channels to obtain corresponding intermediate frequency signals, and then inputting all the intermediate frequency signals into corresponding intermediate frequency ADC;
s3) after the PL end of the ZYNQ chip differentially receives the intermediate frequency signals of each intermediate frequency ADC, a pulse parameter measurement module respectively carries out down-conversion on each intermediate frequency signal according to the coarse frequency measurement result and then measures pulse parameters, and pulse description words corresponding to the pulse parameters of each signal are sent to the PS end of the ZYNQ chip;
s4) the PS end of the ZYNQ chip matches radar characteristic parameters in Lei Daku by using the obtained pulse description words, meanwhile, the signal sorting module sorts and calculates the pulse description words, calculates peripheral parameters according to the sorting and calculating results and sends the peripheral parameters to peripheral equipment, and updates Lei Daku by using the sorting and calculating results, and the interference strategy decision module selects corresponding interference strategies according to the matched radar characteristic parameters and sends the interference parameters of the selected interference strategies to the PL end of the ZYNQ chip;
s5) an interference signal generating module at the PL end of the ZYNQ chip generates corresponding interference signals according to pulse signal data, pulse parameters and corresponding interference parameters of each signal, and each interference signal is sent to a radio frequency microwave assembly through a corresponding DAC chip and then is sent after being processed by the radio frequency microwave assembly.
For the detection and guide interference system and the rapid autonomous detection and guide interference method of the embodiment, firstly, the ultra-wideband single-bit ADC data acquisition technology is utilized to carry out carrier frequency measurement and pulse signal detection on signals received in the full frequency band, and local oscillation switching of an intermediate frequency receiver is guided in real time, so that rapid detection and guide interference of radar signals in multiple frequency bands can be self-adaptive in real time; secondly, a pre-loaded radar library is adopted, lei Daku is updated in real time according to the real-time measured radar signal characteristic parameters, and an interference strategy is selected independently in a matching mode of the real-time measured radar characteristic parameters and the radar library parameters, so that the effect of optimizing the interference strategy is achieved; finally, by utilizing the ZYNQ platform, the hardware advantages of the ZYNQ platform can be fully utilized to improve the processing speed and the obvious advantages of the software and hardware collaborative design, so that the delay of data and command interaction can be reduced, and the probability of effective interference implementation of key pulse signals is increased.
Based on the current state of the high-speed single-bit ADC technology, the sampling rate of the high-speed single-bit ADC of the embodiment is 38.4GSPS, and the full bandwidth range of the radio frequency signal entering the high-speed single-bit ADC is 6-18G; the sampling rate of the intermediate frequency ADC and the intermediate frequency DAC is 4.8GSPS, and the bandwidth range of the intermediate frequency signals received and transmitted is 2.6G-4.6G; ZYNQ selects an xczu39dr-fsvf1760-2-i chip, the chip LUT, DSP, GTY, IO, BRAM is rich in resources, double-core cooperative processing is achieved, processing speed is high, the PS end and the PL end are AXI bus data interaction, the data interaction rate can exceed 3.2GB/S at maximum, and data interaction delay is greatly reduced.
The ultra-wideband single-bit ADC data acquisition needs to use a single-bit frequency algorithm, such as a base-2 FFT algorithm, a split FFT algorithm, a base-4 FFT algorithm and the like, because the sampling rate of the high-speed single-bit ADC is 38.4G, the acquisition of 1024 points needs 26.667ns, the serial-parallel conversion of the high-speed serial transceiver outputs 1024-bit data and 150M synchronous clocks, and the operation of the single-bit frequency algorithm once, such as the base-2 FFT algorithm, can be completed only by log 1024=10 clock cycles, and the 150M clock has 10 clock cycles of 66.667ns which is greater than 26.667ns, thus the high-speed single-bit ADC data processing is lost. In order to accelerate the processing speed and ensure that data is not lost, the high-speed single-bit ADC data in the embodiment is switched from the 150M clock domain to the 300M clock domain by using an asynchronous FIFO after serial-parallel conversion, the data is switched from the 150M clock domain to the 300M clock domain (the processing speed of xczu39dr-fsvf1760-2-i can reach 300M), so that the processing time of a single-time base 2-FFT algorithm is 33.333ns but still greater than 26.667ns, the high-speed single-bit ADC data is sliced in a time-sharing way, as shown in fig. 5, the 2 nd data enters the base 2-FFT algorithm 1, the 2N+1 nd data enters the base 2-FFT algorithm 2, the processing time is only 16.667ns and is less than 26.667ns, the processing time of the high-speed single-bit ADC data is ensured not to be lost, the pulse detection time and the radio frequency band guiding switching time reach 26.667 ns+pulse leading edge time 16.667 times = 76.668ns, and the high-speed local oscillator frequency band guiding signal is generated.
Based on this idea, as shown in fig. 6, in step S1) of the present embodiment, the pulse detection and coarse frequency measurement of the radio frequency signal of the main channel by the single-bit frequency band guiding module in real time includes the following steps:
s11) carrying out time-sharing slicing on high-speed single-bit ADC data, sequentially sending the high-speed single-bit ADC data at even moments into a first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching, and sequentially sending the high-speed single-bit ADC data at odd moments into a second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching;
s12) acquiring the amplitude value 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, searching the maximum value, and if the maximum value of the spectral line amplitude is greater than a threshold value, outputting a pulse signal identifier and storing the maximum value frequency of the spectral line amplitude;
s13) judging the pulse front time according to the pulse signal identification duration, and reading the frequency corresponding to the maximum value of the spectral line amplitude output by the first single-bit frequency algorithm and/or the second single-bit frequency algorithm at the pulse front time as the front frequency of the current pulse signal;
s14) if the front edge frequency of the current pulse signal falls in the updating area, selecting a radio frequency down-conversion frequency band according to the radio frequency local oscillation frequency code nearest to the front edge frequency.
Through the steps, the single-bit frequency band guiding module firstly carries out serial-parallel conversion and data clock domain switching on the high-speed single-bit ADC data at different moments, and then respectively sends the data into a base-2 FFT single-bit frequency algorithm corresponding to even moment or odd moment (the base-2 FFT algorithm is a mature technology, the scheme does not relate to the improvement of a specific calculation process, and the specific calculation process is not repeated here); each radix-2 FFT algorithm outputs the amplitude of 1024 spectral lines through calculation, and then carries out maximum value search to find the maximum value and the corresponding spectral line in the amplitude of 1024 spectral lines; comparing the maximum value of the spectral line amplitude with a threshold (the threshold value can be a preset value or a dynamically generated value, the threshold value is set by a method commonly used by a person skilled in the art, the scheme does not relate to the improvement of the specific implementation process, and the specific implementation process is not repeated here), and the fact that the maximum value of the spectral line amplitude is larger than the threshold indicates that 1024 points of data measured at the current moment are pulse effective signals, and pulse identification and the maximum frequency of the spectral line amplitude are output; in order to ensure effective processing of a complete pulse signal, avoiding frequent switching of radio frequency down-conversion local oscillators in the effective period of the pulse signal and complicacy of subsequent signal processing, the switching time sequence of the radio frequency local oscillators is shown in fig. 7, firstly, judging arrival of pulse leading edge time according to pulse identification duration, and reading the maximum value corresponding frequency of spectral line amplitude output by a base 2-FFT algorithm corresponding to even or odd number of times at the pulse leading edge time, namely the leading edge frequency of the current pulse signal; after the leading edge frequency of the pulse signal is read, as shown in fig. 8, the signal is judged to fall in the local oscillation frequency range, when the leading edge frequency of the pulse signal falls in a local oscillation non-update area, the local oscillation frequency is not switched, and falls in an update area, and the radio frequency down-conversion frequency band is selected according to the principle of the radio frequency local oscillation frequency code nearest to the leading edge frequency of the pulse.
As shown in fig. 9, in step S3) of the present embodiment, the pulse signal parameter measurement module performs down-conversion on each intermediate frequency signal according to the coarse frequency measurement result, and then measures pulse parameters, which specifically includes the following steps:
s31) carrying out serial-parallel conversion on the data of the current intermediate frequency signal to a 300M clock domain; because the sampling rate of the intermediate frequency ADC is higher, the data serial-parallel conversion is needed to be carried out to a 300M clock domain, and 16 points are needed in one clock period;
s32) carrying out down-conversion processing on the data of the current intermediate frequency signal after serial-parallel conversion according to the pulse signal identification and the leading edge frequency of the pulse signal to obtain 16 paths of parallel data; because the single-bit sampling rate is 38.4G, the FFT point number is 1024, the pulse front frequency resolution is 38.4 x 1000/1024=37.5 MHZ, in order to ensure the measurement precision and processing speed of the subsequent parameters, the down-conversion processing is carried out on the intermediate frequency ADC data according to the pulse signal detection mark and the pulse signal front frequency, and the down-conversion data low-pass filtering processing is carried out, and the embodiment adopts a multi-idea filtering mode;
s33) after the 16-path parallel data low-pass filtering processing, performing 16-time extraction, performing pulse parameter measurement, and generating corresponding pulse description words, wherein the pulse parameter measurement comprises measurement of parameters such as precise measurement frequency, bandwidth, TOA, pulse width, signal amplitude and the like, and the pulse parameter measurement is a method commonly used by a person skilled in the art.
In step S4) of the present embodiment, the signal sorting module calculates the carrier frequency, the heavy cycle, the pulse width, the power, the azimuth, the elevation and other parameter information of the target radar by using a sorting algorithm, which is commonly used by those skilled in the art, and the specific calculation process is not improved in the present scheme, and is not repeated here.
Step S4) of the present embodiment includes, as shown in fig. 10, the steps of:
s41) matching Lei Daku by using the pulse description word of the current signal, and executing an interference strategy of accurately guiding interference if the current signal has matched radar characteristic parameters; as shown in fig. 11, PDW first enters a radar library to perform radar parameter matching, if the parameter matching is successful, it enters accurate guiding interference; if the parameter matching is unsuccessful, the method indicates that a new target radar is possibly detected, the rapid guiding interference is entered, the signal sorting result is waited to be output, lei Daku parameters are updated, and the accurate guiding interference pattern is generated according to the new radar parameters and then the accurate guiding interference is switched;
s42) if the current signal does not have the matched radar characteristic parameters, executing an interference strategy for quickly guiding the interference, waiting for a sorting calculation result of the pulse description word of the current signal, and switching the interference strategy for quickly guiding the interference into an interference strategy for accurately guiding the interference after updating the radar library by using the sorting calculation result.
In this embodiment, the data in Lei Daku is not limited to the carrier frequency, pulse width, pulse repetition interval, position information, etc. of the radar, but also includes detailed information such as radar model, anti-interference measure, threat level, optimal interference pattern, specific interference parameter setting, etc. And matching the radar parameter PDW code stream obtained by reconnaissance with a radar parameter library, if the matching is successful, determining the radar threat level according to the corresponding information in the radar parameter library, and performing interference generation by adopting a set interference pattern and an interference parameter set value in the radar parameter library. According to accurate and complete information in the radar parameter library, the interference can achieve one-step in-place in the face of a known radar target, and the optimal interference effect on the target radar is achieved with less real-time interference resources and rapid response speed.
As shown in fig. 12 and 13, the interference strategy selection in the present embodiment depends on the matching condition of the parameters contained in the pulse descriptors, wherein the interference strategy for fast guiding interference includes:
a1 Target parameters in pulse description words of the current signal are matched Lei Daku, wherein the target parameters in the embodiment comprise partial parameters such as pulse width, carrier frequency, modulation type and the like, and if the target parameters do not have a matching result, the current signal is directly forwarded to a radio frequency microwave component for transmission after power amplification;
a2 If only carrier frequency matching is successful in the target parameters, selecting a corresponding interference pattern according to the signal strength, specifically, selecting a suppression interference or suppression interference and deception interference combined pattern if the signal strength is greater than the target value, selecting a deception interference pattern if the signal strength is less than the target value, and preloading the selected interference pattern after selecting the interference pattern to obtain the corresponding interference parameter, thereby achieving the effect of rapidly guiding interference.
The accurate guiding interference is generated by performing operations such as target radar threat degree judgment, interference pattern selection, interference parameter setting and the like through parameter information such as target radar signal power, angle, pulse repetition interval, carrier frequency mode and the like obtained by reconnaissance, so that corresponding guiding instructions are generated to guide interference. The interference pattern is selected by three factors of a target radar working mode, a carrier frequency mode and a distance between the target radar and the target radar, and Pulse Repetition Interval (PRI) is one of important parameters for identifying the target radar working mode, wherein the common radar working modes comprise three types of target searching, target tracking and target hitting. In the search mode, the radar pulse repetition interval is longest due to factors such as a search period, a acting distance and the like, and the radar pulse repetition period is the same in the tracking mode; and secondly, in the striking mode, the target position of the radar is quickly updated in real time, so that the striking accuracy is ensured, the repetition period is shortest, and the pulse repetition interval difference of the three working modes is relatively large, so that the working modes can be simply identified according to the detected PRI information, and the distance of the target radar is reflected by the measured power of the target radar signal. As shown in fig. 13, the interference strategy for accurately directing interference includes:
b1 Using target parameters in the pulse description words of the current signal to match Lei Daku, and if all target parameters have matching results, obtaining a sorting result corresponding to the pulse description words of the current signal;
b2 Selecting a corresponding interference pattern according to the grade judgment result of the information in the sorting result, and generating corresponding interference parameters, specifically:
if the pulse repetition interval level is large and the power level is weak, selecting a narrow-band frequency sweep in a search mode;
if the pulse repetition interval level is large and the power level is strong, smart noise in the search mode is selected;
if the pulse repetition interval level is the same, selecting a distance drag in a tracking mode;
if the pulse repetition interval level is small and the power level is strong, intermittent sampling forwarding or echo simulation in the striking mode is selected;
if the pulse repetition interval level is small and the power level is weak, selecting the distance speed combined dragging in the striking mode.
It should be noted that, the interference process of suppressing interference, spoofing interference, searching mode, tracking mode, striking mode, narrowband frequency sweep in searching mode, smart noise in searching mode, distance dragging in tracking mode, intermittent sampling forwarding or echo simulation in striking mode, and distance speed combined dragging in striking mode are all well known to those skilled in the art, and the improvement of the interference process is not related to this scheme, and the specific interference process is not repeated here.
The foregoing is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention shall fall within the scope of the technical solution of the present invention.

Claims (10)

1. The quick autonomous detection guiding interference method based on the ZYNQ platform is characterized by being applied to a detection guiding interference system, wherein the detection guiding interference system comprises a radio frequency microwave component, a ZYNQ chip and peripheral equipment which are connected in sequence, and the method comprises the following steps:
s1) acquiring radio frequency signals by a radio frequency microwave assembly, sending the radio frequency signals of a main channel into a high-speed single-bit ADC (analog-to-digital converter), and carrying out pulse detection and coarse frequency measurement on the radio frequency signals of the main channel in real time after the PL end of a ZYNQ chip receives high-speed single-bit ADC data;
s2) switching the radio frequency down-conversion local oscillation frequency by the radio frequency microwave component according to the coarse frequency measurement result, down-converting the radio frequency signals of all channels to obtain corresponding intermediate frequency signals, and then inputting all the intermediate frequency signals into corresponding intermediate frequency ADC;
s3) the PL end of the ZYNQ chip differentially receives intermediate frequency signals of each intermediate frequency ADC, respectively carries out down-conversion on each intermediate frequency signal according to the rough frequency measurement result, then measures pulse parameters, and sends pulse description words corresponding to the pulse parameters of each signal to the PS end of the ZYNQ chip;
s4) the PS end of the ZYNQ chip matches radar characteristic parameters in Lei Daku by using the obtained pulse description words, meanwhile, sorting calculation is carried out on the pulse description words, peripheral parameters are calculated according to the sorting calculation result and sent to peripheral equipment, lei Daku is updated by using the sorting calculation result, a corresponding interference strategy is selected according to the matched radar characteristic parameters, and the interference parameters of the selected interference strategy are sent to the PL end of the ZYNQ chip;
s5) the PL end of the ZYNQ chip generates corresponding interference signals according to the pulse signal data, the pulse parameters and the corresponding interference parameters of each signal, each interference signal is sent to the radio frequency microwave component through the corresponding DAC chip, and the radio frequency microwave component processes and then sends each interference signal.
2. The method for rapid autonomous detection and guided interference based on the ZYNQ platform according to claim 1, wherein the step S1) of performing pulse detection and coarse frequency measurement on the radio frequency signal of the main channel in real time comprises the steps of:
s11) carrying out time-sharing slicing on high-speed single-bit ADC data, sequentially sending the high-speed single-bit ADC data at even moments into a first single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching, and sequentially sending the high-speed single-bit ADC data at odd moments into a second single-bit frequency algorithm after serial-to-parallel conversion and clock domain switching;
s12) acquiring the amplitude value 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, searching the maximum value, and if the maximum value of the spectral line amplitude is greater than a threshold value, outputting a pulse signal identifier and storing the maximum value frequency of the spectral line amplitude;
s13) judging the pulse front time according to the pulse signal identification duration, and reading the frequency corresponding to the maximum value of the spectral line amplitude output by the first single-bit frequency algorithm and/or the second single-bit frequency algorithm at the pulse front time as the front frequency of the current pulse signal;
s14) if the front edge frequency of the current pulse signal falls in the updating area, selecting a radio frequency down-conversion frequency band according to the radio frequency local oscillation frequency code nearest to the front edge frequency.
3. The ZYNQ-platform-based fast autonomous detection pilot interference method of claim 2, wherein the first single-bit frequency algorithm and the second single-bit frequency algorithm are each any one of a radix-2 FFT algorithm, a split FFT algorithm, and a radix-4 FFT algorithm.
4. The method for fast autonomous detection and guided interference based on the ZYNQ platform according to claim 2, wherein the high-speed single-bit ADC sampling rate is 38.4GSPS, the intermediate-frequency ADC sampling rate is 4.8GSPS, and in step S3), the measuring pulse parameters after down-converting each intermediate-frequency signal according to the coarse frequency measurement result specifically includes:
s31) carrying out serial-parallel conversion on the data of the current intermediate frequency signal to a 300M clock domain;
s32) carrying out down-conversion processing on the data of the current intermediate frequency signal after serial-parallel conversion according to the pulse signal identification and the leading edge frequency of the pulse signal to obtain 16 paths of parallel data;
s33) performing low-pass filtering processing on the 16 paths of parallel data, extracting 16 times, measuring pulse parameters, and generating corresponding pulse description words.
5. The ZYNQ-platform-based fast autonomous detection guided interference method of claim 1 wherein step S4) comprises the steps of:
s41) matching Lei Daku by using the pulse description word of the current signal, and executing an interference strategy of accurately guiding interference if the current signal has matched radar characteristic parameters;
s42) if the current signal does not have the matched radar characteristic parameters, executing an interference strategy for quickly guiding the interference, waiting for a sorting calculation result of the pulse description word of the current signal, and switching the interference strategy for quickly guiding the interference into an interference strategy for accurately guiding the interference after updating the radar library by using the sorting calculation result.
6. The ZYNQ platform-based fast autonomous detection guided interference method of claim 5 wherein an interference strategy of the fast guided interference comprises:
a1 Using target parameters in pulse description words of the current signal to match Lei Daku, and if the target parameters do not have a matching result, directly transmitting the current signal after power amplification;
a2 If only carrier frequency matching is successful in the target parameters, selecting a corresponding interference pattern according to the signal strength, and preloading the selected interference pattern to obtain the corresponding interference parameters.
7. The method of fast autonomous detection guided interference based on the ZYNQ platform of claim 6, wherein selecting the corresponding interference pattern according to the signal strength in step A2) specifically comprises: and if the signal strength is greater than the target value, selecting a suppression interference or suppression interference and spoofing interference combined pattern, and if the signal strength is less than the target value, selecting a spoofing interference pattern.
8. The ZYNQ platform-based fast autonomous detection guided interference method of claim 5 wherein the interference strategy of accurate guided interference comprises:
b1 Using target parameters in the pulse description words of the current signal to match Lei Daku, and if all target parameters have matching results, obtaining a sorting result corresponding to the pulse description words of the current signal;
b2 Selecting a corresponding interference pattern according to the grade judgment result of the information in the sorting result, and generating corresponding interference parameters.
9. The method for fast autonomous detection of guided interference based on the ZYNQ platform according to claim 8, wherein selecting the corresponding interference pattern in step B2) according to the level determination result of the information in the sorting result specifically comprises:
if the pulse repetition interval level is large and the power level is weak, selecting a narrow-band frequency sweep in a search mode;
if the pulse repetition interval level is large and the power level is strong, smart noise in the search mode is selected;
if the pulse repetition interval level is the same, selecting a distance drag in a tracking mode;
if the pulse repetition interval level is small and the power level is strong, intermittent sampling forwarding or echo simulation in the striking mode is selected;
if the pulse repetition interval level is small and the power level is weak, selecting the distance speed combined dragging in the striking mode.
10. The utility model provides a detect guide interference system which characterized in that, includes radio frequency microwave subassembly, ZYNQ chip and the peripheral equipment that connects gradually, ZYNQ chip includes PL end and PS end, wherein:
the radio frequency microwave component is used for acquiring radio frequency signals, sending the radio frequency signals of the main channels into the high-speed single-bit ADC, switching the radio frequency down-conversion local oscillation frequency according to the coarse frequency measurement result, down-converting the radio frequency signals of the channels to obtain corresponding intermediate frequency signals, inputting the intermediate frequency signals into the corresponding intermediate frequency ADC, and sending the interference signals after processing the interference signals;
the PL terminal is used for receiving the high-speed single-bit ADC data, then carrying out pulse detection and rough frequency measurement on the radio frequency signals of the main channel in real time, differentially receiving the intermediate frequency signals of each intermediate frequency ADC, respectively carrying out down-conversion on each intermediate frequency signal according to the rough frequency measurement result, then measuring pulse parameters, generating corresponding interference signals according to the pulse signal data, the pulse parameters and the corresponding interference parameters of each signal, and sending each interference signal to the radio frequency microwave component through the corresponding DAC chip;
the PS end is used for acquiring pulse description words and matching radar characteristic parameters in Lei Daku by using the pulse description words, sorting and calculating the pulse description words at the same time, calculating peripheral parameters according to sorting and calculating results and sending the peripheral parameters to peripheral equipment, updating Lei Daku by using sorting and calculating results, and selecting a corresponding interference strategy according to the matched radar characteristic parameters;
the peripheral device is used for executing corresponding actions according to the peripheral parameters.
CN202310587305.6A 2023-05-23 2023-05-23 ZYNQ platform-based rapid autonomous detection guide interference method and system Pending CN116736241A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117554904A (en) * 2024-01-11 2024-02-13 南京航天工业科技有限公司 Single pulse cross polarization interference method and system based on orthogonal polarization double channels

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117554904A (en) * 2024-01-11 2024-02-13 南京航天工业科技有限公司 Single pulse cross polarization interference method and system based on orthogonal polarization double channels
CN117554904B (en) * 2024-01-11 2024-03-26 南京航天工业科技有限公司 Single pulse cross polarization interference method and system based on orthogonal polarization double channels

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