45 results about "Radar frequency" patented technology

The present invention discloses a method for pre-processing radar data for further processing by a machine learning model, the method comprising: acquiring radar data from a transmitted signal and a received signal of a radar, wherein the radar data comprises frames and / or chirps; allocating the radar data to a plurality of frequency range bins according to the radar frequency of radar data of the received signal; calculating a difference between the radar data at two or more different time steps for each of the plurality of frequency range bins, wherein the time steps correspond to the frames or chirps of the radar data; and providing the calculated differences to the machine learning model with temporal dynamics for further processing.

The invention discloses an active layer depth identification method based on an envelope fusion algorithm, and belongs to the technical field of seasonal frozen depth survey. The method comprises the following steps: optimizing survey line arrangement and radar frequency through field survey and ground temperature data, and collecting data by using a ground penetrating radar; performing background removal, gain compensation, band-pass filtering and time-depth conversion preprocessing on the data; then, a gravity center method and an edge detection method are adopted to extract a bottom interface track, and noise and abnormal values are effectively suppressed according to self-adaptive weighted fusion of signal definition and continuity; and finally, carrying out cross validation and error correction by taking the earth temperature 0 DEG C isotherm depth as a reference, outputting a continuous and smooth interface fusion curve with centimeter-level precision, and calculating the depth of an active layer. According to the method, the high-efficiency and lossless advantages of the GPR are kept, meanwhile, the limitation of traditional interpretation precision is broken through, and a practical technical scheme which can be directly used for designing parameter values is provided for engineering investigation of the permafrost region.

The invention relates to the technical field of underground space detection, and discloses a high-resolution three-dimensional imaging GNSS (Global Navigation Satellite System) positioning type shallow cavity detection system which comprises a mobile carrier platform, a step frequency continuous wave radar subsystem, a high-precision positioning and attitude sensing subsystem, a central control and edge calculation subsystem and a wireless communication module. According to the system, radar acquisition and hardware-level synchronization of positioning data are realized by using GNSS pulse per second; the central control subsystem dynamically modulates the radar frequency step number and the residence time according to the instantaneous velocity of the carrier to ensure that the space sampling interval is constant; and signal enhancement is carried out in combination with geographic semantic prior, three-dimensional deduction reconstruction is carried out on sparse survey line data by using a conditional generative adversarial network, and active supplementary collection of a reverse-driven low-confidence region is evaluated through confidence. According to the method, high-precision positioning, self-adaptive efficient acquisition and full-process closed-loop detection of the underground cavity are realized, and the reliability of detection data and the engineering application value are improved.

A wireless device is configured to transmit radar signals at extremely low spectral density so that the receiver can be operated at the same time without saturating and thereby enabling full-duplex operation. To achieve sufficient range, beamforming is used together with a very long correlation time for detection of the radar signal, in which case the receiver can resolve backscattered or reflected radar signals far below the noise floor, while the bandwidth of the transmitted radar signal can be very high. The wide bandwidth enables the wireless device to maintain a low power spectral density while increasing output power, and also increase the depth resolution. The extremely low power spectral density even in the transmission beam direction makes the probability that communication will be disturbed very low. The high bandwidth calls for digital filters for both transmitted and received signals to equalize the radar frequency response characteristics of the radio unit.

The invention particularly relates to a complex modulation signal generation method based on multiphase fitting modeling, belongs to the field of radars, and is applied to a radar frequency synthesizer. The method comprises the following steps: by taking an FPGA (Field Programmable Gate Array) and a DAC (Digital-to-Analog Converter) as core hardware, generating an n-phase phase increment sequence through multi-phase fitting modeling according to the phase change characteristics of CW, LFM and NLFM signals and the phase-to-amplitude conversion IP instantiation number of the FPGA; amplitude codes are output through multiple paths of IPs, and after cross sorting is carried out according to the phase relation, the amplitude codes are transmitted to a DAC through an LVDS or JESD204B / C high-speed interface to generate a target signal. According to the method, signal phase characteristics are fitted in a targeted manner, phase increment can be calculated in real time through LFM signal generation, storage is not occupied additionally, the three types of signals are consistent in processing flow, high in universality and easy to transplant, and high-stability and high-precision complex modulation signals can be generated efficiently.

A multi-frequency photonic radar is configured to provide three or more radar frequencies simultaneously or separately. The radar devices and techniques described herein enable the processing using any desired frequency (limited only by the bandwidth of photodetectors in the radar) with wide tunability from, e.g., 1 GHz to the limit of the bandwidth of the photodetectors (e.g., 110 GHz, 270 GHz, etc.), using either pulsed or continuous frequency modulated waveforms. The radar device may be configured as a photonic integrated circuit (PIC).

The application discloses a networking radar jamming and mutual jamming elimination method based on decentralized Q learning, first, according to the phased array radar signal processing flow, a target echo signal, a jamming signal and a mutual jamming signal model are established, second, the conditions of radar jamming and mutual jamming are analyzed, a multi-radar frequency domain resource scheduling optimization model based on the SIJNR criterion is established, then each radar is regarded as an intelligent agent, the multi-radar cooperative anti-jamming and anti-mutual jamming process is constructed into a generalized Markov decision process, and the frequency domain resource scheduling optimization model is converted into a value function optimization model, finally, the DQJIE algorithm is used to solve the problem, and the frequency agility strategy of each radar is obtained. The method constructs the multi-radar cooperative anti-jamming and anti-mutual jamming process into a generalized Markov decision process, effectively suppresses the mutual jamming in the system while resisting the frequency sweeping jamming, and effectively improves the networking radar detection performance.

The application discloses a LFMCW radar Keystone transformation distance walking correction and semi-blind speed effect elimination method and device. In view of the energy defocusing and Doppler tearing problems of the semi-blind speed area caused by Sinc interpolation truncation when the conventional Keystone transformation processes high-speed maneuvering targets, a double-path parallel architecture is adopted. A conventional branch extracts a safe area spectrum; a blind speed branch constructs a time domain compensation factor containing a radar frequency modulation slope and a fast time variable, substitutes high calculation power interpolation by pure physical phase rotation, and realizes extreme focusing of target energy; then, based on a target absolute Doppler index, a point-to-point coordinate mapping mechanism is adopted to seamlessly recombine the focused main lobe into a basic spectrum. The application recovers the coherent accumulation loss caused by interpolation truncation, eliminates the ghost false peaks and speed measurement blind bias at the Doppler cross-border, greatly reduces the consumption of underlying hardware resources, and meets the real-time detection demand.

This invention relates to a method for generating frequency-agile radar signals, belonging to the field of radar frequency-hopping signal technology. The invention includes S1, quantizing an initial chaotic sequence into an integer chaotic sequence; and S2, determining the optimal control parameter u of the integer chaotic sequence using a simulated annealing algorithm. b S3, Generate the target chaotic sequence; S4, Construct the first frequency-agile radar sequence based on the target chaotic sequence; S5, Establish the data training set Ψ; S6, Train the CNN network model using the data training set Ψ, and use the CNN network to identify the given chaotic sequence and find the optimal threshold λ. k S6, perform binary quantization on the given chaotic sequence to determine the second frequency-agile radar sequence; S7, construct the target frequency-agile radar sequence. This invention utilizes two optimization methods—simulated annealing and convolutional neural networks—to enhance the randomness of the target frequency-agile radar sequence, enabling it to solve the problems of traditional radar systems, such as the ease of signal detection and interception, and susceptibility to interference.

The application discloses a kind of active layer depth identification method based on envelope fusion algorithm, belong to season frozen depth survey technical field, the present application is through field reconnaissance and ground temperature data optimization survey line arrangement and radar frequency, and with ground penetrating radar data acquisition;Data are removed, gain compensation, band-pass filtering and time-depth conversion preprocessing;Then using barycentric method and edge detection method extract bottom interface track, and according to signal definition and continuity adaptive weighted fusion, effectively suppress noise and abnormal value;Finally, with the depth of 0 ℃ isotheral line as benchmark, cross validation and error correction are carried out, and the interface fusion curve of continuous, smooth and centimeter-level precision is output, to calculate the depth of active layer.The method breaks through the traditional interpretation precision limit while maintaining the high-efficiency and non-destructive advantage of GPR, and provides a practical technical solution for the design parameter selection in permafrost engineering investigation.

The disclosure relates to the field of radar sensors, particularly to radar sensors for radar sensing using wireless communication signals. The method includes: receiving a reflected communication signal, wherein the reflected communication signal is a sent communication signal that is reflected by at least one object. The frequency of the sent communication signal is within a radar frequency range, and the sent communication signal includes a sent data payload, and the reflected communication signal includes a corresponding reflected data payload. The reflected data payload is compared with the sent data payload, resulting in a compared data payload; and a delay information and / or a velocity information of the at least one object is extracted from the compared data payload.

The application discloses a radar ship bow interference suppression method, according to the ship bow structure to determine the radar distribution position, according to the number and position of the ship bow interference source, the radar distribution position is adjusted, according to the radar coverage range requirement and the required radar frequency band to determine the number of radars, according to the coverage range of each radar to determine the corresponding frequency band, so that multiple radar frequency bands can realize all-around coverage of the ship bow position, based on the radar distribution position and the coverage range requirement to confirm the radar azimuth and elevation, so that the ship bow direction can realize the reception of radar signals, based on the interference source signal frequency to adjust the beam scanning rate and the repetition period of the corresponding radar, adjust the pulse width of the corresponding radar, adjust the radar frequency band based on the distance change parameter of the detection echo, determine the receiving amplifier power according to the radar echo receiving frequency, and carry out the signal processing of the corresponding radar. The application can reduce the interference frequency of the ship bow radar.

The application discloses a kind of front-looking scanning radar frequency domain fast imaging methods based on Gaussian prior, first obtains echo data and carries out pre-processing, then based on Gaussian prior Bayesian framework, carries out Bayesian inference, again constructs time-domain deconvolution problem, adds smoothing filter operator in equivalent regularization process, and the time-domain deconvolution problem is converted to frequency domain by Fourier transform, and fast frequency domain is solved.The method of the application adds smoothing filter operator when processing time-domain deconvolution problem, can smooth the noise and details of image, while retaining the basic structure of image, improve imaging quality, by Fourier transform into frequency domain, using the property that Fourier transform time-domain convolution is equal to frequency multiplication, successfully convert inverse operation into division operation, greatly reduce the calculation complexity, with higher imaging efficiency under the condition of not losing imaging quality.

The application discloses a kind of multi-transmit multi-receive radar networking cooperative anti-interference methods based on nested reinforcement learning, comprising: obtaining the first state information and the second state information of multi-transmit multi-receive radar system current time;The first state information of multi-transmit multi-receive radar system current time is input to the radar transceiver station decision model trained, and the transceiving strategy of multi-transmit multi-receive radar system is obtained;The second state information of multi-transmit multi-receive radar system current time and transceiving strategy are input to the radar frequency point decision model trained, and the frequency point strategy of multi-transmit multi-receive radar system is obtained;The radar transceiver station decision model trained and the frequency point decision model trained are respectively based on single-agent reinforcement learning algorithm and multi-agent reinforcement learning algorithm and are obtained by nested reinforcement learning;According to anti-interference strategy, control multi-transmit multi-receive radar system emission signal.The application can adapt to complex scene and improve the cooperative anti-interference ability between each radar.

The invention relates to a coherent active bait design method. The method comprises the following steps: time sequence synchronization: a radar data processing program transmits timing signals, beam pointing and control instruction information required by baits to the baits in advance; the bait receives an optical timing signal, converts the optical timing signal into an electric signal through photoelectric conversion equipment, processes the timing signal and an instruction signal, and sends the processed signals to each subsystem of the bait; frequency synchronization: a radar frequency source generates a frequency reference and synchronizes the frequency reference to each bait, the bait generates a radio frequency signal based on the received frequency reference, and it is ensured that a bait signal and a radar signal are coherent; and decoy beam forming: obtaining the direction of a protected radar transmitting beam in real time, and performing special phase weighting on each unit of the decoy phased-array antenna to enable the decoy transmitting beam to form a zero point in the direction of the radar beam direction. The coherent decoy is designed in the aspects of time-frequency synchronization, decoy beam forming and the like aiming at the coherent decoy, so that the coherent decoy is realized to decoy anti-radiation weapons and new-system anti-radiation seekers.

This invention provides a method for hierarchical decision-making and conflict self-resolution in multi-dimensional resource scheduling for communication radars. The method includes: Markov modeling of the problems of base station-user association scheduling, communication frequency band selection, and detection frequency band selection for unmanned aerial vehicle radars in dynamic environments; calculating approximate constraint function values ​​based on the communication and detection frequency band selections and spectrum utilization status; and performing robust action correction on frequency band selections that may lead to frequency band conflicts. Furthermore, through information interaction with the environment, the heterogeneous communication radar system center learns the association scheduling of base stations and user clusters, and the base stations and unmanned aerial vehicle radars learn the optimal strategies for communication frequency band and airborne radar frequency band selection. This method effectively solves the complex resource scheduling problem of multiple devices and multiple time granularities in heterogeneous communication radar systems.

The invention discloses a frequency hopping radar deception jamming optimization method based on a four-dimensional antenna array, which aims at solving the problem of jamming failure caused by a wave beam squint effect when the existing four-dimensional antenna array faces a broadband radar with fast frequency hopping, and comprises the following steps of: constructing a broadband array directional diagram model taking a whole radar frequency hopping frequency point set as a variable; and a layered optimization cost function is constructed. The function preferentially ensures that the echo in the true target direction is suppressed to be below a safety threshold in a full frequency band, and then the minimum gain in the false target direction is maximized. And performing global optimization on radio frequency switch time sequence parameters of each unit of the array by adopting a differential evolution algorithm to obtain a group of robust optimal time sequences irrelevant to frequency. The time sequence at the moment is loaded to the controller, so that the four-dimensional antenna array can stably realize the deception jamming effect of true target stealth and false target enhancement in the whole frequency hopping bandwidth of the radar without real-time adjustment, the aperture transition effect is effectively overcome, and the jamming robustness during frequency change of enemy radar is ensured.

The invention discloses a real aperture radar data processing method and system and a storage medium, and belongs to the technical field of radars. The method comprises the following steps: acquiring a radar original data set of a target for a radar reflection signal and segmenting the radar original data set into a first sub-data set and a second sub-data set; performing difference frequency processing on the first sub-data set and the second sub-data set to obtain a dual-frequency data set; fourier transform is carried out on the radar original data set and the dual-frequency data set to obtain a radar frequency domain data set and a dual-frequency frequency domain data set; respectively performing interference processing on the radar frequency domain data set and the dual-frequency frequency domain data set to obtain a target single-frequency deformation sequence and a target dual-frequency deformation sequence; and obtaining target accurate displacement through the target single-frequency deformation sequence and the target double-frequency deformation sequence. Accurate displacement of the target can be obtained on the premise that hardware complexity is not increased and the size is not controlled.

The utility model relates to the technical field of wave-absorbing materials, in particular to a wave-absorbing material with a multistage laminated cavity, which comprises a first wave-absorbing layer, a second wave-absorbing layer fixedly mounted at the lower end of the first wave-absorbing layer, and a third wave-absorbing layer fixedly mounted at the lower end of the second wave-absorbing layer. The first wave absorbing layer comprises a first wave absorbing plate and a first wave absorbing cavity formed in the front side surface of the first wave absorbing plate. According to the utility model, through the three wave absorbing layers, high-efficiency absorption of electromagnetic waves can be realized in a wide frequency range, application requirements of different frequency bands, such as from a low-frequency communication frequency band to a high-frequency radar frequency band, can be met, the multi-stage laminated cavity structure enables the electromagnetic waves to be reflected and absorbed for multiple times in the material, and the electromagnetic wave absorption efficiency is improved. The absorption efficiency of electromagnetic wave energy is greatly improved, and the intensity of reflected waves can be effectively reduced.

The invention belongs to the technical field of multi-frequency-band radar super-resolution imaging, and relates to a Transform-based multi-discrete-frequency-band radar echo data fusion extrapolation method, which specifically comprises the following steps of: converting obtained complex-form radar complete spectrum data into a real number vector; mapping the converted real number vector to a high-dimensional space through a linear layer to obtain embedded vectors, then adding learnable position codes to each embedded vector to obtain a training set, and finally dividing a data set into a known frequency band serving as input and a to-be-predicted frequency band serving as a true value; the method comprises the following steps: initializing parameters of a Transform model, introducing a sparse attention mechanism into an encoder of the Transform model, and constructing a global-local mixed attention architecture; carrying out model training by utilizing the data set; and preprocessing incomplete radar frequency band data, inputting the preprocessed incomplete radar frequency band data into the trained Transform model, and outputting missing frequency band data by the Transform model so as to realize radar echo data fusion extrapolation.

The invention provides a space-based and air-based radar cooperative detection method, device and equipment for a sea-skimming stealth target and a storage medium. Relates to the technical field of radar detection simulation. The method comprises the following steps: acquiring a space-based radar frequency, an azimuth angle and a pitch angle, and determining a sea-skimming target and marine environment simulation parameters; calculating a target double-station RCS and an ocean double-station scattering coefficient; according to the target double-station RCS and the ocean double-station scattering coefficient, the echo signal-to-clutter ratio in a single radar resolution unit of each azimuth angle is calculated; based on the distribution rule of the echo signal-to-clutter ratio along with the receiving azimuth angle, taking the azimuth angle corresponding to the minimum value of the signal-to-clutter ratio as the azimuth of the receiver; and changing the pitch angle at least once, recalculating the echo signal-to-clutter ratio until the azimuth angle of the receiver is located in the forward scattering target area, and taking the currently determined azimuth angle of the receiver as the final deployment azimuth of the airborne receiving radar. According to the invention, long-distance detection of the ultra-low penetration defense stealth target can be realized.

The invention relates to a method for a radar-based determination of a fill level (L) in a container (2). In the method, an evaluation curve (C) for a defined measuring range (h) is created in periodic measuring cycles on the basis of the received radar signal (RHF). According to the invention, a selection region (ROI) is defined at the evaluation curve (C) end region which extends upwards from the container base. Within the evaluation curve (C), a respective current fill level signal maximum (mc) is determined for each measuring cycle or is tracked in the subsequent measuring cycles. Normally, the fill level value (L) corresponding to the fill level signal maximum (mc) is output for each measuring cycle. According to the invention, however, the fill level (L) is defined as empty if the fill level signal maximum (mc) has been lost within the selection region (ROI) in relation to one of the preceding measuring cycles. The method is therefore based on the observation that, in particular at high radar frequencies, the emitted radar signal (SHF) is not necessarily reliably reflected in the selection region (ROI) even though the level of the filling material surface actually corresponds to an empty fill level (L).

The application discloses an external radiation source radar frequency domain sliding expansion cancellation method and belongs to the field of digital signal processing. The application realizes the method as follows: overlapping segmentation is performed on a monitoring signal and a reference signal, and fast Fourier transform is performed; the strong correlation between the reference signal and multipath clutter at the same frequency point is utilized to suppress the static clutter at each frequency point in the bandwidth; the frequency domain signal after the static clutter suppression is transformed to the time domain, the overlapping part is removed, and the complete time domain signal after the clutter suppression is obtained; distance-Doppler two-dimensional matched filtering is performed, and moving clutter interference is detected, the moving clutter with different Doppler shifts is suppressed step by step, the filter order is always one order, the operation amount of the algorithm is significantly reduced, and the memory occupation is reduced. The application utilizes the principle of the external radiation source radar signal, can effectively suppress the interference of the moving clutter and the static clutter, is more easy to realize real-time processing of the signal, is not limited to the radiation source signal with a specific structure, and is more universal.

The invention discloses a millimeter wave radar bumper false target suppression method, device and equipment and a storage medium, and the method comprises the steps: obtaining a radar echo signal, and generating an RD image based on the radar echo signal; determining candidate false target areas in the RD image according to radar frequency hopping characteristics and bumper false target characteristics; constructing an energy storage array based on the candidate false target area, and initializing the energy storage array; updating the energy storage array in real time, and performing energy and angle consistency verification on points in the candidate false target area based on the energy storage array by using an inter-frame consistency verification mechanism to obtain a verification result; and marking points meeting energy consistency verification and angle consistency verification in the verification result as false target points, and performing suppression operation on the false target points. Compared with the prior art, the method has the advantages that the distinguishing accuracy of the false target and the real target of the bumper is improved, and the suppression difficulty of the false target of the bumper is reduced.

The invention discloses a software and hardware design method of a radar frequency agility control system based on an RFSoC, and the method employs a ZYNQ chip and a radio frequency front-end receiving and transmitting assembly to carry out the design of a radar system, and employs an upper computer to carry out the control and transmission of frequency agility parameters. Waveform generation is carried out through a ZYNQ chip, AD / DA conversion is carried out, frequency agility control is carried out through a control radio frequency front-end transceiving assembly, and rapid response to interference changes can be realized through efficient processing and real-time control. According to the RFSoC-based radar frequency agility control system digital signal processing platform, radar waveform generation and inter-frame agility, inter-pulse agility and shield agility of radio frequency can be realized according to radar application scene requirements.

The application discloses a shipborne ground wave radar ship target and ground clutter separation method, and relates to the field of shipborne ground wave radar target detection. The basic steps are as follows: obtaining radar frequency domain data and attitude data; performing target detection based on the frequency domain data and marking target points in the maximum frequency shift range of ground clutter; separating stationary targets (stationary ship targets and ground clutter) and moving ship targets by utilizing the difference in target Doppler shift characteristics; separating stationary ship target echoes and ground clutter by utilizing the difference in target echo amplitude variation characteristics; and accurately estimating target azimuth and positioning the target by utilizing the characteristics that different azimuth stationary targets produce different Doppler shifts. According to the characteristics that the change of platform speed influences target echo Doppler shift, the difference in frequency shift characteristics and the difference in echo amplitude variation characteristics of ship target echoes and ground clutter are utilized to realize the differentiation of stationary ship target echoes, moving ship target echoes and ground clutter, and the positioning of stationary targets is completed.

This invention discloses an optimized method for deception jamming of frequency-hopping radar based on a four-dimensional antenna array. This method addresses the problem of existing four-dimensional antenna arrays failing to jam against broadband radars with rapidly changing frequencies due to beam squint effects. It constructs a broadband array pattern model with the entire radar frequency hopping point set as variables and establishes a hierarchical optimization cost function. This function prioritizes suppressing the echo from the true target direction to below a safe threshold across the entire frequency band, and then maximizes the minimum gain in the direction of the false target. A differential evolution algorithm is used to globally optimize the RF switching timing parameters of each array element, obtaining a set of frequency-independent robust optimal timing sequences. Loading these timing sequences into the controller enables the four-dimensional antenna array to stably achieve deception jamming effects that conceal the true target and enhance the false target across the entire frequency hopping bandwidth of the radar without real-time adjustments. This effectively overcomes the aperture crossing effect and ensures the robustness of jamming when the enemy radar frequency changes.

The invention relates to a radar-based waste monitoring device for monitoring the amount of waste (L) in a waste container (3), comprising the following components: a mounting device for attachment to the container lid (31); a radar unit designed to transmit radar signals (SHF) with a frequency of at least 80 GHz into the interior of the container and to receive them after reflection within the container (3), and to determine the amount of waste (L) based on the received radar signal (SHF), in particular using the FMCW method. A position / motion measurement unit of the monitoring device (1) causes the radar unit to perform a waste measurement upon detection of a predefined movement pattern, such as the emptying of the waste container (3). By implementing a radar frequency of 80 GHz or higher, the waste monitoring device (1) according to the invention can be designed to be very compact while maintaining high measurement accuracy.However, because the amount of waste (L) is only measured on an event-driven basis and not continuously or cyclically, energy consumption is very low.

The present application relates to a three-dimensional rough sea surface electromagnetic reflection coefficient calculation method based on wind direction factors, comprising the following steps: collecting radar frequency, polarization mode, incident angle, wind speed and wind direction data; constructing a PM-ITTC directional sea wave spectrum model; inputting the wind speed and wind direction vector data into the PM-ITTC directional sea wave spectrum model to obtain a three-dimensional sea surface roughness correction factor; inputting the radar frequency, polarization mode and incident angle into the Fresnel formula to obtain the Fresnel reflection coefficient of the electromagnetic wave on the sea surface; and calculating the three-dimensional rough sea surface electromagnetic reflection coefficient based on the wind direction factors according to the three-dimensional sea surface roughness correction factor and the Fresnel reflection coefficient. The present application considers the influence of wind direction on the roughness correction factor, vectorizes the wind speed and wind direction information, and combines the sea wave parameter information to correct the roughness correction factor, thereby improving the accuracy of the sea surface electromagnetic reflection coefficient calculation.

The invention belongs to the technical field of electronic countermeasures, and provides a method for realizing accurate interference of a missile-borne penetration interference machine, which comprises the following steps of: switching a plurality of local oscillators in a reconnaissance window in a time-sharing manner, comparing PDW information with a preset elimination signal library one by one, and then sorting; comparing the sorted PDW information with a high threat signal library, switching to local oscillator output reconnaissance information corresponding to the high threat information, and entering an interference window; frequency information of radar signals is measured in the interference window, if the frequency information is matched with reconnaissance information or a high threat signal library, a sampling gate is pulled up to sample the signals, and interference is carried out according to a transmitting gate; and when no interference is performed within the preset first time, exiting the interference window and entering the reconnaissance window again. According to the invention, multi-radar frequency-band interference can be realized by using the low-transient-width jammer; by arranging the rejection signal library and the high threat signal library, interference resources can be saved, the army radar can be protected, the interference efficiency is improved, and the power consumption requirement is reduced.