105 results about "Radar interference" patented technology

The invention discloses a radar interference effect evaluation method based on a constraint learning dynamic Bayesian network, is applied to the field of radar interference evaluation, and aims at solving the problem that the accuracy of interference effect evaluation is reduced due to radar detection data missing in a complex electromagnetic environment. Meanwhile, parameter constraints of five types of evaluation indexes and interference effect grades are defined; secondly, constructing a constraint learning dynamic Bayesian network, and learning a conditional probability and a transition probability under a data missing condition; then, proposing a prior constraint expectation maximization algorithm, converting parameter learning into an optimization problem with constraint by combining convex optimization, and overcoming the defects of a traditional expectation maximization algorithm; secondly, a cloud model is introduced to quantify discrete probability distribution into a continuous interference degree value; finally, simulation shows that the method can effectively improve parameter learning stability and evaluation accuracy under the conditions of suppressing and deception jamming and single index deficiency, and provides a reliable scheme for radar jamming effect evaluation in a complex environment.

The invention discloses an interference communication integrated waveform generation method based on spectrum dispersion-multi-system phase shift keying. The problems of difficult communication information demodulation and high hardware implementation complexity in interference communication integration research are mainly solved. According to the scheme of the invention, the SMSP interference signal is formed by periodically expanding the chirp signal on the time domain, the communication information is modulated on the phase of the chirp signal, and the plurality of chirp signals carrying the communication information can cause dense false target interference at random positions on the radar, so that the interference and communication integrated signal is generated. At a communication receiving end, a first linear frequency modulation signal is adopted to perform carrier synchronization, so that the synchronization effect can be improved by using the high time width-bandwidth product characteristic of the linear frequency modulation signal, and communication information can be demodulated directly by using a coherent demodulation mode; at a radar receiving end, the signal can generate a radar interference effect with dense false target characteristics.

The application discloses a SAR two-dimensional multi-phase segmented modulation interference method based on time modulation metasurface, and relates to the technical field of signal processing. In the application, each metasurface unit is combined with two open reverse and symmetrical metal square rings and varactor diodes, so that the phase, amplitude and polarization state of the incident electromagnetic wave are flexibly regulated and controlled. The dynamic regulation and control capability enables the metasurface to adjust the response to the electromagnetic wave in real time according to the requirements of different application scenarios, so that the electromagnetic environment is accurately controlled. The structure of the application only uses two open reverse and symmetrical metal square rings and varactor diodes, so that the phase, amplitude and polarization state of the incident electromagnetic wave are flexibly regulated and controlled, and the electromagnetic environment is accurately controlled. Compared with the traditional complex time modulation metasurface, the modulation performance of the time modulation metasurface is greatly improved, and high-precision SAR radar interference is realized.

This invention discloses an open-set radar interference pattern recognition method, apparatus, and electronic device. The method includes: matched filtering of the radar received signal to construct a dual-modal input of a one-dimensional range sequence and a two-dimensional time-frequency matrix; feature extraction via a dual-branch network and adaptive fusion based on cosine similarity; introducing cross-modal consistency regularization during the training phase, constructing pseudo-unknown samples by shuffling intra-batch modes, and combining energy constraint loss to compress the energy of known classes and increase the energy of unknown classes to form a clear decision boundary; and adaptively setting a threshold based on the energy distribution of the validation set during the inference phase to achieve accurate identification of known interference and effective rejection of unknown interference. This invention overcomes the performance degradation defects of traditional closed-set methods in the face of unknown interference, and improves the generalization ability, robustness, and engineering practicality of radar interference recognition in complex electromagnetic environments.

The invention relates to the technical field of radar interference high-speed transmission, in particular to an SAR (Synthetic Aperture Radar) interference method based on high-speed data transmission, which comprises the following steps of: receiving a radio-frequency signal transmitted by an interfered SAR, performing down-conversion and analog-to-digital conversion on the radio-frequency signal by a radio-frequency receiving front end to obtain an original sampling data stream, and transmitting the original sampling data stream to a programmable logic part through a high-speed serial interface; the method comprises the following steps: extracting pulse description words including pulse arrival time, pulse width, pulse repetition interval and carrier frequency, reconstructing a coherent interference signal baseband waveform in real time according to the pulse description words, and performing digital up-conversion and digital pre-distortion processing on the baseband waveform to generate a target interference intermediate frequency digital signal; and after digital-to-analog conversion and up-conversion are completed, an interference radio frequency signal is radiated. According to the method, data transmission and signal processing delay can be reduced, interference signal coherence is guaranteed, and intermediate frequency signal generation precision and processing real-time performance are improved.

This invention belongs to the field of radar jamming decision-making technology, specifically relating to a radar jamming decision-making method, program, device, and storage medium for optimizing experience storage. This invention comprehensively considers multiple requirements for executing jamming decisions in practical application scenarios, designing the state, actions, and reward functions of the radar jamming decision-making model. This invention designs a novel attraction-repulsion optimization algorithm, introducing an information interaction factor to endow members with information acquisition and communication characteristics, changing the population update mechanism, and improving the algorithm's globality. This invention optimizes the generation of experience samples using an improved attraction-repulsion optimization algorithm, generating high-quality experience samples and storing them in an optimized experience replay pool, accelerating model convergence and solving the problem of poor model convergence performance; a trained DDPG network is applied to the actual jamming decision-making of jamming equipment, improving the effectiveness of model jamming decision-making in practical application scenarios.

The invention discloses a noise frequency modulation signal generation device, which is realized based on a field programmable gate array (FPGA), and adopts the following method steps: S1, in the FPGA, constructing an arbitrarily distributed random number generator to obtain random numbers conforming to distribution; s2, linearly mapping the obtained random number into a frequency modulation noise bandwidth by using a linear mapping method to obtain a random frequency conforming to Gaussian distribution; and S3, converting the obtained random frequency into frequency modulation noise by using a direct digital frequency synthesis technology. Complex linear algebraic operation is simplified into integer addition, subtraction and shifting, FPGA parallelism and special hardware resources are fully utilized, high speed, low resources and high statistical quality are considered, and a reliable hardware noise source is provided for scenes such as communication simulation and radar interference.

The invention relates to the technical field of radar guidance, and discloses a radar infrared composite guidance device, which comprises hardware and software, and is characterized in that the hardware comprises an active detection radar module which adopts a superheterodyne structure full-coherent system design and mainly comprises an antenna assembly, an active detection microwave assembly and an active signal processor; the reconnaissance interference radar module realizes passive detection reconnaissance and interference countermeasure functions and mainly comprises a reconnaissance interference antenna, an interference TR and power amplifier, a reconnaissance interference microwave component and a signal acquisition and processing module; the thermal infrared detection module is mainly used for realizing acquisition of infrared images and target identification of the images; the software composition comprises active detection signal processing and reconnaissance interference integrated processing. According to the invention, the active detection radar, the passive detection radar, the interference module and the thermal infrared camera are subjected to integrated fusion design, the advantages of all means are fully played, and the target searching, finding and locking capability in a complex environment is improved, so that the application requirements in different environments can be met.

The utility model discloses a parabolic radar jammer antenna servo control device, which relates to the technical field of radar jammers and comprises an antenna, the antenna is connected with a servo turntable display control unit, and the servo turntable display control unit is electrically connected with a display control computer. The servo turntable display control unit comprises an antenna control unit, a network switch, a shaft angle encoder and a servo driving unit; the servo driving unit comprises a motor, a motor controller, a control protection circuit, a direct current power supply and a distribution line; the servo driving unit is a rotating speed and current double-closed-loop speed regulation system. According to the utility model, the control protection and driving circuits are reasonably adopted, so that the safety, the response speed and the tracking precision of the system are improved; a double-loop design is adopted, a current loop provides a control object with a wide frequency for a speed loop, and the speed loop improves the low-speed stability of the system, expands the speed regulation range of the system, improves the disturbance resistance of a load, and provides a control object with a wide frequency for position control.

This application relates to the field of radar signal processing technology, and in particular to a radar interference identification method based on multi-domain feature association and fingerprint tracing. The method includes: digitally channelizing the received radar signal using a polyphase filter bank, decomposing it into multiple narrowband sub-channels, and selecting effective sub-channels; extracting macroscopic features from the outputs of the effective sub-channels to construct high-dimensional feature vectors; inputting the high-dimensional feature vectors into a pre-trained random forest classification model for initial interference pattern judgment to obtain preliminary judgment results; if the preliminary judgment result is deceptive interference and the signal-to-noise ratio of the effective sub-channels is higher than a preset fingerprint extraction threshold, then extracting microscopic features from the outputs of the effective sub-channels to construct microscopic fingerprint vectors; performing fine analysis of the pulse leading edge fingerprint based on the microscopic fingerprint vectors to obtain secondary fingerprint analysis results; and combining the preliminary judgment results and the secondary fingerprint analysis results to obtain the final identification result used to characterize the interference pattern and the identity of the interference source.

The application relates to a dynamic interference behavior and intention simulation and prediction method, and relates to the technical field of radar anti-interference.The application is used for solving the problem that interference behavior intention data cannot be acquired, interference intention prediction cannot be performed, and radar anti-interference lacks initiative and is low in accuracy.The application comprises the following steps: step one, establishing an interference scene, and setting radar, jammer and target parameters in the interference scene;step two, based on the interference scene established in step one, simulating a dynamic detection process of the radar on a target space domain, so as to generate interference intention and interference behavior corresponding to the interference intention;step three, using the interference intention and the interference behavior corresponding to the interference intention to acquire an interference intention prediction model; and step four, acquiring historical time variable data, inputting the historical time variable data into the interference intention prediction model, and obtaining interference intention at a next time; the application is used for interference behavior and intention simulation and prediction.

The invention provides an interference / polarization imaging radar complex conjugate product signal noise reduction processing method and system based on a variation coefficient, and the method comprises the steps: calculating a radar interference pair or a complex conjugate product signal of a complex signal sum corresponding to two polarization channels, and segmenting the complex conjugate product signal into sliding windows according to a set window size and an overlapping size; calculating a variation coefficient of each sliding window; calculating filtering parameters of effective pixels in each sliding window; transforming a spatial domain into a frequency domain; carrying out Goldstein filtering on the frequency spectrum corresponding to each sliding window; and converting the filtered frequency spectrums corresponding to the sliding windows back to a spatial domain. Compared with a traditional filtering algorithm, the method can effectively suppress the noise in the complex conjugate product signal of the interference / polarization imaging radar, and remarkably improves the phase extraction accuracy and precision.

The invention discloses a ZYNQ-based radar interference signal identification method. The method comprises the following steps: firstly, carrying out power normalization and Hamming window adding processing on eight signals such as single-tone interference, noise frequency modulation interference and spectrum dispersion interference under different interference-to-noise ratios; then extracting characteristic parameters of the eight signals in the time domain, the frequency domain and other domains; then six characteristic parameters with the largest difference are selected to construct and train a BP neural network model; and sending the interference signal into the trained BP neural network model to output a corresponding interference signal type, and deploying the identification method to the ARM end and FPGA end hardware platforms of the ZYNQ to carry out radar interference signal identification verification and time consumption calculation. The method has the advantages of being simple in design, high in recognition accuracy, capable of being applied to a hardware platform, high in response speed and the like.

The application provides a radar interference classification method and system based on an attention mechanism, an electronic device and a storage medium, and relates to the technical field of attention mechanisms. The application obtains a pulse description word data stream, filters out pulse data segments with significant characteristics, uses a timestamp marking method to position the data segments in time, divides the data segments into multiple pulse interval segments by a preset pulse threshold, and each segment corresponds to one or more pulse intervals. The segments are subjected to multistage processing to obtain a multidimensional feature vector, which is input into a pre-trained interference classification neural network model. The model extracts local space-time features using a convolutional neural network, captures long-range dependencies between features and enhances key features using a multi-head attention mechanism, outputs a probability distribution of the type of spaceflight radar interference through a Softmax classification layer, and finally determines the classification result according to the maximum probability in the distribution, thereby improving the accuracy of spaceflight radar interference classification.

The invention discloses a multi-intermittent sampling forwarding interference main lobe interference suppression method for an FDA-MIMO radar, and relates to the field of radar interference suppression. Compared with a traditional ISRJ interference suppression mode, the method does not need any interference parameter estimation, and has high robustness; meanwhile, the method disclosed by the invention can also inhibit various ISRJ main lobe interferences with different parameters; compared with the conventional FDA-MIMO main lobe interference suppression, the method has the advantages that the position of the target does not need to be known in advance, the real target can be directly identified, and the suppression of the multi-parameter main lobe ISRJ interference is completed by using the identification result.

The application relates to a radar anti-interference processing method and device in a ceiling type air conditioning system, wherein the method comprises the following steps: controlling a target air-sweeping panel to perform periodic air-sweeping operation, closing a sending end of a radar and only opening a receiving end of the radar in an Nth air-sweeping period, and determining whether a target radar on the target air-sweeping panel detects an interference signal; in the case that the interference signal is detected, determining an interference angle corresponding to the interference signal; opening the sending end and the receiving end of the radar in an Mth air-sweeping period, and setting a scanning blind area at the interference angle; in the process of passing through multiple air-sweeping periods, if the interference signal continuously exists at the interference angle, the air-sweeping period of the target air-sweeping panel is adjusted to stagger the radar interference. Through the application, mutual interference between radars is avoided, so that the detection of the ceiling type air conditioning system is more accurate, unnecessary scanning of the radars is avoided, and the ceiling type air conditioning system is more energy-saving.

Examples described herein provide a method for radio detection and ranging (radar) interference mitigation for a vehicle. The method includes receiving radar data captured by a radar device of the vehicle and indicative of an environment in which the vehicle is operating, the radar data including interference. The method also includes performing a time signal reconstruction on the radar data to generate first filtered data prior to performing a fast Fourier transform (FFT) on the radar data, where the FFT generates ranging data using the first filtered data. The method further includes, after performing the FFT on the ranging data, performing spectral signal reconstruction on the ranging data to generate second filtered data. The method also includes detecting an object in the environment based at least in part on the second filtered data.

The invention relates to the technical field of signal detection, and discloses a radar interference detection method based on frequency spectrum statistical distribution characteristics, and the method comprises the steps: employing the difference between the frequency spectrum distribution characteristics of a pure echo signal and an interference echo signal, and enabling the pure echo signal to deviate from the fitting Rayleigh distribution through the broadband interference, and achieving the radar interference detection. The broadband interference and the narrowband interference can destroy the Gaussian property of the frequency domain, so that the broadband interference and the narrowband interference can be detected at the same time, certain complementarity is formed by using Z-score and JS divergence detection, and the threshold value is automatically set by adopting quartile, so that a large amount of manual experiments are saved to obtain the accurate threshold value, and the detection accuracy is improved. The method is more suitable for variable electromagnetic environments, and compared with an experimental mode of a neural network, the time for manually marking the data set is saved under the condition that the correctness is not reduced.

The application discloses a frequency control array jamming signal implementation method for countering space-time adaptive processing of airborne MIMO radar, and belongs to the technical field of radar jammer design based on frequency control array. The application firstly obtains jamming signals by intercepting radar signals and storing and processing the jamming signals through digital radio frequency modulation based on the frequency control array jammer, and then loads a deceptive delay on the jamming signals; after different frequency offsets are added to different radiating antennas of the frequency control array jammer, the jamming signals are transmitted to the ground in the form of array antennas, and after being reflected by the ground, frequency control array scattering jamming signals are generated and received by the airborne radar; the airborne radar performs space-time adaptive processing on echo data to resist jamming signals. The frequency control array scattering jamming signals adopted by the application can change the rank of the clutter covariance matrix of the airborne radar by changing the frequency offset, thereby affecting the degree of freedom of the clutter; and the frequency offset can affect the notch of the STAP improvement factor of the airborne radar, thereby affecting the STAP anti-jamming performance of the radar.

The application discloses a deep learning-based cooperative jamming method, an electronic device and a storage medium, relates to the technical field of radar cooperative jamming, and comprises the following steps: collecting and analyzing target radar echoes, and constructing an observation signal feature tensor and a jamming platform reliability coefficient; constructing an ideal signal feature tensor based on an ideal standard, and performing cross-modal implicit alignment on the ideal signal feature tensor and the observation tensor, and extracting a double inconsistency factor; calling a cooperative jamming strategy generator to analyze the double inconsistency factor, and outputting an initial cooperative jamming strategy; and combining the platform reliability coefficient to cooperatively schedule a power spectrum, and generating a target cooperative jamming strategy. The application solves the technical problems that the existing radar jamming method has poor adaptability and low jamming efficiency when dealing with modern radar systems, achieves the technical effects of extracting a double inconsistency factor through cross-modal implicit alignment and generating a cooperative jamming strategy, and improves the jamming adaptability and jamming efficiency for modern radar systems.

The utility model discloses a radar anti-interference test system, comprising a test box used for installing a radar to be tested; the interference radar is arranged in the test box and is used for transmitting an interference signal; and the metal triangular cone is arranged in the test box and is located in the detection area of the radar to be tested. According to the utility model, the overall production and manufacturing cost of equipment and the later use and maintenance cost of the equipment can be reduced.

The present application relates to radar interference high-speed transmission technical field, specifically for SAR radar interference method based on high-speed data transmission, including: receiving the radio frequency signal of the interfered synthetic aperture radar transmission, the original sampling data stream is obtained through the down conversion and analog-digital conversion of radio frequency receiving front end, through high-speed serial interface transmission to programmable logic part, the pulse description word containing pulse arrival time, pulse width, pulse repetition interval, carrier frequency is extracted, the baseband waveform of coherent interference signal is reconstructed in real time according to pulse description word, the target interference intermediate frequency digital signal is generated by carrying out digital up conversion and digital predistortion processing to baseband waveform, and the interference radio frequency signal is radiated after completing digital-analog conversion and up conversion through high-speed serial interface transmission to radio frequency transmitting front end.This method can reduce data transmission and signal processing delay, guarantee the coherence of interference signal, improve the generation accuracy and processing real-time performance of intermediate frequency signal.

To reduce interference with other vehicle radar in a vehicle radar sensor.SOLUTION: The device may receive a communication indicating a first radar signal pattern parameter set associated with another device. The device may select a second radar signal pattern parameter set that is different from the first radar signal pattern parameter set based at least in part on receiving the communication indicating the first radar signal pattern parameter set. The device may transmit radar signals using the second radar signal pattern parameter set.SELECTED DRAWING: Figure 3

The application provides an airborne radar jamming method and device and a storage medium, and belongs to the technical field of radar countermeasure, and the method comprises the following steps: detecting a signal transmitted by an airborne radar to obtain radar signal data; performing interference distance sequence analysis on the radar signal data to obtain an interference distance sequence; performing Doppler sequence analysis on the radar signal data to obtain a Doppler sequence; and performing distance power sequence analysis on the radar signal data to obtain a plurality of distance power sequences. The application realizes target protection and radar jamming at the same time, thereby realizing target concealment jamming of the airborne radar, and meanwhile, the jamming signal cannot be discovered by the radar, and the precise jamming capability is greatly improved.

The unmanned vehicle with the radar jammer comprises an unmanned vehicle body, a shell is installed at the upper end of the unmanned vehicle body, a steering assembly is arranged in the shell, the upper end of the shell is rotationally connected with an installation base, an angle adjusting assembly is arranged at the upper end of the installation base, and a radar jammer is arranged at the lower end of the installation base. The upper end of the mounting seat is provided with a radar jammer body, and the rear side of the radar jammer body is provided with two reinforcing seats. Through the steering assembly, the rotation function of the radar jammer can be achieved, the direction of the whole unmanned vehicle body does not need to be adjusted, and the unmanned vehicle body is more flexible and convenient; the angle of the radar jammer can be flexibly adjusted according to actual requirements through the angle adjusting assembly, so that the jamming effect of the radar jammer is improved, and equipment can adapt to different working environments and task requirements.

The invention relates to a radar module for a radar system, wherein the radar system operates in a predefined frequency band, the radar module having: a receiver device configured to receive radar jamming signals in the predefined frequency band during a receiving time period; an analysis processing device configured to analyze the frequency spectrum of the received radar jamming signals, wherein the analysis processing device is configured to convert the detected radar jamming signals during the receiving time period into a time signal, wherein a time course of the time signal corresponds to a frequency change or a frequency range change of the received radar jamming signals. A matched filter filters the time signal, wherein an energy detector analyzes the filtered time signal.

The application provides a kind of anti-space domain filtering two-dimensional interference method based on frequency control array, it is related to the design technical field of radar jammer based on frequency control array, the method is to each array element is applied frequency offset, obtains initial frequency offset data;Transmit source radar signal is processed, and the baseband data of interference signal is obtained;Based on the mapping relationship of false target position and frequency offset, the initial frequency offset data and the baseband data of interference signal are used to carry out distance dimension false target layout, and the distance dimension false target signal data is obtained;Based on the mapping relationship of frequency offset and false target speed, the frequency offset corresponding to distance dimension false target signal data is corrected, and the distance speed two-dimensional false target signal data is obtained;The radial distance of radar and jammer is used to modulate the phase of distance speed two-dimensional false target signal data, and anti-space domain filtering two-dimensional interference signal is generated.The application solves the problem that the existing radar jamming technology is insufficient in multi-domain multi-dimensional joint deception jamming.

This invention belongs to the field of radar signal processing and intelligent sensing technology, specifically relating to a target protection mask prior-guided low-rank sparse reconstruction method for FMCW radar interference suppression. The method includes the following steps: 1. Acquiring FMCW radar observation signals and preprocessing them; 2. Performing time-frequency transformation on the preprocessed FMCW radar observation signals to extract basic features; 3. Accurately locating the interference region in the time-frequency domain, forming a binary mask prior, and constructing a mandatory target protection region; 4. Constructing a low-rank sparse matrix and a target protection low-rank sparse decomposition model based on mask prior guidance; 5. Solving the target protection low-rank sparse decomposition model to obtain the decomposition results; 6. Reconstructing and post-processing the decomposition results, outputting the interference suppression results, and evaluating the effect. This method combines the intuitiveness of time-frequency detection methods with the reconstruction capability of low-rank sparse methods, reducing the probability of target echoes being misclassified into sparse terms.