163 results about "Electronic countermeasure" patented technology

The invention relates to a detection-interference integrated unmanned aerial vehicle electromagnetic interference device, which belongs to the technical field of electronic countermeasure, and comprises an integrated design of an antenna module, a radio frequency front end module, a digital signal processing module and a main control module, the radio frequency front-end module comprises a detection receiving channel and an interference transmitting channel to process signal conversion, the digital signal processing module executes signal detection and analysis, intelligent interference decision and anti-self-interference signal processing based on a self-adaptive filtering algorithm, and the main control module is responsible for overall control and power supply. According to the invention, the technical problems of large response delay, complex system cooperation and incapability of continuous reconnaissance in the interference process of traditional anti-unmanned aerial vehicle equipment are solved. Real-time signal cancellation is achieved through the normalized least mean square algorithm, the reconnaissance capability is kept while interference is applied, the method has the advantages of being rapid in response, accurate in interference, low in power consumption and the like, and the countering efficiency is remarkably improved.

The invention discloses a signal reconnaissance, positioning and interference method based on deep learning, and belongs to the technical field of electronic countermeasures. The method comprises the following steps: deploying distributed reconnaissance nodes to obtain broadband electromagnetic signals; generating a spectrogram through time-frequency transformation, and identifying a fixed frequency / frequency hopping signal based on a deep learning model; fusing multi-node reconnaissance results to realize target situation awareness; the optimal positioning cluster is selected through dynamic networking, and the target position is calculated in combination with the arrival angle and time difference information; generating an optimal interference strategy based on the target situation and the position trajectory; networking cooperative interference is implemented; behavior parameters are collected in real time, the interference effect is evaluated through a machine learning model, and the strategy is dynamically adjusted. According to the method, the technical effects of high-efficiency and self-adaptive signal reconnaissance, positioning and interference in a complex electromagnetic environment are achieved.

The invention discloses a multichannel broadband receiver, and belongs to the technical field of microwave radio frequency and electronic control, the multichannel broadband receiver comprises a multichannel down-conversion assembly, a local oscillator power component, a power interface control panel and a VPX connector, the down-conversion assembly adopts a cavity-divided integrated structure, multiple identical radio frequency links are arranged in the same cavity in parallel, and the VPX connector is connected with the local oscillator power component. Down conversion from a 2-18GHz radio frequency signal to a 1.3-2.3 GHz intermediate frequency signal is realized through two-stage frequency mixing; the power supply interface control board takes an FPGA as a core, integrates the functions of multi-path power supply conversion, driving isolation, state monitoring and the like, and realizes channel gain power failure storage and calling, BIT self-inspection, nanosecond rapid turn-off and multi-parameter real-time monitoring through software and hardware cooperation. Through collaborative innovation of the structure, circuit and control, high integration, high channel consistency, high isolation and high intelligence of the multi-channel receiver are realized, and the multi-channel receiver is suitable for the fields of high-performance radars, electronic countermeasures and the like.

The invention relates to the technical field of radars, in particular to a low-interception-probability radar waveform design method and device, and the method comprises the steps: obtaining a preset MDP tuple; constructing a Markov decision model framework based on a preset MDP tuple, wherein the Markov decision model framework comprises a design framework corresponding to the power adopted for constructing a radar waveform and the complexity of a radar waveform intra-pulse modulation pattern; performing reinforcement learning on the Markov decision model framework in a strategy optimization direction taking maximization of long-term accumulated rewards as a target to obtain a reinforcement learning optimization model of radar waveform design; and solving the reinforcement learning optimization model of the radar waveform design by using a model-free Q-learning algorithm to obtain the design parameters of the radar wave, thereby realizing the intelligent design of the low-interception probability radar waveform in the complex electronic countermeasure environment, and improving the concealment and detection performance balance capability of the radar in the unknown countermeasure environment.

The invention relates to the technical field of electronic countermeasures, in particular to an unmanned aerial vehicle group dynamic interception method and system based on distributed interference array collaboration. According to the method, an interference node cluster with autonomous logic association is dynamically deployed in a defense domain, and an elastically reconfigurable distributed interference field domain is formed through a software defined radio architecture; time-varying spectrum features are extracted through an adversarial neural network, and a dynamic threat fingerprint database is constructed; generating an interference vector with frequency band following and power self-adaption based on the dynamic threat fingerprint database, and updating the feature weight of the dynamic threat fingerprint database in real time according to interference efficiency feedback; and according to the situation evolution trend of the dynamic threat fingerprint database, a hierarchical interference wave sequence is generated based on a multi-agent consensus protocol, and a space-time coupled interception chain is formed. Through the method, the whole-process dynamic confrontation capability of the unmanned aerial vehicle group is realized, the efficient interception performance is maintained in a complex electromagnetic environment, and meanwhile, the interference risk on legal communication is reduced.

The invention discloses a spectrum signal detecting and positioning method and system based on unsupervised reinforcement learning, and belongs to the technical field of wireless spectrum sensing and electronic countermeasure. In order to solve the problems of low-power and low-SNR signal automatic detection and positioning in a complex electromagnetic environment, the method comprises the steps of nonlinear normalized spectrum mapping, anchor frame heuristic initialization, multi-source state coding and attention fusion, PPO-based continuous action reinforcement learning, a multi-dimensional learnable reward function and a multi-round dynamic detection strategy. And adaptive detection and track positioning of the frequency spectrum signal are realized. According to the method, high-precision detection and time-frequency track positioning of various types of signals in a low SNR environment can be realized without manual labeling, and the robustness and universality of spectrum sensing are improved.

The invention discloses a radar communication integrated radiation source simulation system and method. The system comprises an upper computer control unit, a signal processing unit, an up-conversion unit and an antenna unit. An unknown radar or communication signal is analyzed by adopting a signal characteristic analysis method based on phase difference, whether the signal is a complex signal is judged, the waveform of the signal is stored and generated by adopting a DDWS technology aiming at the unknown complex signal, the waveform of the signal is directly generated by adopting a modulation module of a signal processing unit aiming at a conventional signal, and the waveform of the signal is directly generated by adopting a modulation module of a signal processing unit aiming at a known complex signal. The waveform of a fixed part in a signal is synthesized by adopting a DDWS technology, a modulation module of the signal processing unit is used for generating a non-fixed part, and the fixed part and the non-fixed part are combined according to a signal message format time sequence, so that the simulation of a complex signal is realized, and the requirement of current electronic countermeasure training on radar communication integrated radiation source simulation is met.

The invention discloses a multi-band high-stability ferrite magnetic material composite formula and a preparation process, and relates to the technical field of magnetic materials. The ferrite magnetic material composite formula comprises 38-42 parts of ferric oxide powder, 37-41 parts of ferroferric oxide powder, 6-12 parts of graphene nanosheets, 5-7 parts of hydroxypropyl methyl cellulose, 6-9 parts of lanthanum oxide, 4-6 parts of scandium oxide, 1-3 parts of nano titanium dioxide, 4-6 parts of bismuth magnesium boron, 9-13 parts of ferric sulfate, 3-5 parts of manganese sulfate, 4-6 parts of zinc sulfate, 2-4 parts of copper sulfate and 2-3 parts of samarium sulfate. By utilizing a physical vapor deposition gradient doping process, the problems that an existing ferrite magnetic material is single in electromagnetic performance, cannot stably and efficiently work in a multi-frequency-band complex electromagnetic environment and cannot meet the requirements of the fields of communication, radar, electronic countermeasure and the like for wide-frequency-band and high-performance magnetic materials can be solved.

This invention provides a communication countermeasure simulation method based on random simulation, belonging to the field of electronic countermeasure simulation technology. The method first establishes a probability distribution model of reconnaissance information deviation for key parameters of the communication target; then, based on the probability distribution model of each parameter deviation, independent random sampling is performed to generate instantaneous values ​​of frequency deviation, positioning deviation, and modulation pattern recognition results at each moment, and the guidance parameters of the jammer are determined; next, the instantaneous interference-to-signal ratio (ISR) at the target receiver at the current moment is calculated; finally, the ISR calculated at the communication receiver is compared with a preset communication performance degradation ISR threshold to determine whether the jamming is successful. The model of this invention has clear physical meaning and can accurately quantify the impact of reconnaissance information deviation and propagation loss on the jamming effect, significantly improving the credibility and practicality of the simulation evaluation.

The invention provides a multifunctional radio frequency comprehensive integrated universal transceiver and a configuration method thereof, and belongs to the technical field of radio frequency transceiver systems, and the equipment comprises a multi-channel radio frequency transceiver assembly, a variable frequency multi-channel local oscillator module, a radio frequency switch matrix, a baseband signal processing module, a plurality of digital-to-analog converters and a plurality of analog-to-digital converters; the variable-frequency multi-channel local oscillator module is used for generating local oscillator signals corresponding to a plurality of function modes and dynamically distributing the local oscillator signals to a plurality of pairs of transceiving channels through the radio frequency switch matrix; and the baseband signal processing module is used for dynamically configuring the multi-channel radio frequency transceiving component, the variable-frequency multi-channel local oscillation module and the radio frequency switch matrix, so that the universal transceiving equipment performs time division multiplexing or performs at least two function modes of radar, communication and electronic countermeasure in parallel. According to the invention, the integrated transceiver which performs radar, communication and electronic countermeasure functions in a time-sharing or parallel manner is realized.

The invention relates to the technical field of radar electronic countermeasures, in particular to an equipment intelligent decision-making method based on threat level classification. Comprising the following steps: constructing an electronic warfare decision state space containing own defense equipment, enemy attack equipment and an environment state; selecting threat assessment factors, determining the weight of each factor through a preset weight calculation method, quantifying the total threat value of single enemy equipment and a battlefield, and dividing at least two threat levels according to a threshold value; a collaborative decision-making framework comprising a high-level threat evaluation network, a plurality of low-level strategy networks and a time sequence state control module is constructed, the high-level network outputs threat levels and activates corresponding low-level networks, the low-level networks output decision-making actions, and the time sequence module calculates a state change score and judges whether a new decision is triggered or not; and network training optimization is carried out, the network is updated through initialization parameters, partition management track data and a preset algorithm, and the exploration rate is dynamically adjusted. The method has the advantages that decision pertinence and real-time performance are improved; and the decision-making stability of complex electronic warfare scenes is enhanced.

The application provides a signal semantic segmentation and parameter extraction method based on RepViT, which is suitable for communication signal monitoring, radar target identification, spectrum sensing and electronic countermeasure scenes in complex electromagnetic environments, and comprises: multi-signal-to-noise ratio signal data set construction and preprocessing, design of a signal semantic segmentation model based on RepViT, model training and optimization, signal semantic segmentation reasoning, and extraction of key signal parameters; the application realizes end-to-end, automatic and high-precision extraction from deep learning semantic segmentation masks to signal start time, duration, center frequency and bandwidth parameters, and effectively improves the intelligent level and processing efficiency of signal parameter analysis.

This invention discloses a dual-station three-dimensional cross-location method based on grid search, belonging to the field of electronic countermeasures reconnaissance technology. Based on the azimuth-elevation angle vectors measured by reconnaissance equipment at two stations (air or ground), the direction-finding vectors of the corresponding radiation sources at each station are transformed into a northeast-sky coordinate system with their respective stations as the origin. Then, the dual-station direction-finding vectors are transformed into the same coordinate system using a coordinate system transformation method. The coordinates of the radiation sources are searched using a grid search method that minimizes the straight-line distance between opposite planes. Finally, the coordinates of the radiation sources searched multiple times are clustered to obtain the optimal positioning coordinates.

The invention belongs to the technical field of electronic countermeasures, and particularly relates to a distributed jammer closed-loop coherent control method based on synthesis effect feedback, which comprises the following steps of: modeling signal coherent synthesis efficiency, acquiring coherent synthesis efficiency of a jammer A and a jammer B under different phase differences under an error-free condition, and calculating the coherent synthesis efficiency of the jammer A and the jammer B; establishing a phase difference-coherent combination efficiency mapping relation reference database; a-B jammer phase correction is carried out; and jammer A-C correction is carried out. According to the method, the robustness and the engineering practicability are remarkably improved; the cost, the power consumption and the complexity are effectively reduced; according to the invention, by taking a synthesis effect as a guide, the harsh requirement on the absolute space-time precision of a single node is relaxed, common commercial devices with lower cost and lower precision are allowed to be used for construction, and meanwhile, the complexity of initial calibration and setting is simplified, so that the hardware cost, power consumption and deployment and maintenance difficulty of the whole distributed mode are greatly reduced; and the dynamic self-correction and long-term stability capabilities are endowed.

The invention belongs to the technical field of electronic countermeasure, and discloses unmanned aerial vehicle interference equipment with low power consumption and controllable interference distance and a control method thereof, and the equipment comprises a target detection module, a main control module, a frequency source module, a high-precision numerical control attenuator module, a power amplifier module, a grid voltage control module, a signal emission module and a feedback adjustment module. All the modules are electrically connected to form a complete closed-loop link of interference signal generation, power regulation and control, signal emission and feedback regulation and control. The method is suitable for performing accurate and efficient prevention and control tasks on the unmanned aerial vehicle, realizes accurate control of interference output power and on-demand matching of interference distance, reduces equipment power consumption, and improves endurance performance.

The invention provides a PPO-based unmanned aerial vehicle interference power adaptive distribution method and system, and belongs to the technical field of unmanned aerial vehicle electronic countermeasures. According to the method, real confrontation elements such as radar target threat dynamic change, unmanned aerial vehicle power consumption and unmanned aerial vehicle shot-down are simulated by constructing an unmanned aerial vehicle electronic confrontation environment model, and a simulation environment close to reality is provided for training of a power distribution decision model. On the basis, a PPO algorithm is utilized to train an actor-commentator network, so that the power distribution decision model can adaptively output an optimal power distribution scheme according to a real-time confrontation environment state. Compared with a traditional method based on rules and an optimization algorithm, the method has strong environment adaptive ability, can adjust the decision strategy in real time in dynamic scenes such as radar threat change and unmanned aerial vehicle state change, and significantly improves the flexibility and effectiveness of electronic countermeasure.

This invention discloses a radar clutter signal simulation method based on dynamic scene simulation, mainly addressing the problems of low computational efficiency and insufficient flexibility of traditional clutter simulation methods under conditions of large scenes, long time series, and multiple dynamic factors. The implementation scheme includes: constructing a digital simulation scene based on radar signal parameters and dynamic scene information to determine the clutter region to be simulated; discretizing the clutter region into a uniform basic grid in the range-azimuth plane, and then aggregating it into multiple independently processable clutter channels; calculating the amplitude, Doppler frequency, and phase parameters of the center point of each channel in parallel, constructing a two-dimensional convolution kernel reflecting spatial correlation, and using this convolution kernel to efficiently expand the center point parameters to the entire channel, generating a continuously distributed parameter field; and transmitting the parameter fields of each channel to a hardware logic unit to complete signal modulation and synthesis, outputting a high-fidelity radar clutter signal. This invention can achieve rapid, high-fidelity parameter generation from point to field, and significantly improves computational efficiency while strictly maintaining physical accuracy. It can be used for radar system simulation, electronic countermeasures testing, and radar performance evaluation.

The invention relates to a common-caliber three-frequency-band miniaturized radio frequency decoy system, which belongs to the electronic countermeasure technology and comprises a common-caliber forward antenna, a common-caliber backward antenna, a front line TR module, a backward TR module, a common local oscillator intermediate frequency module and a signal processing module. The common local oscillator intermediate frequency module is respectively connected with the signal processing module, the front TR module and the back TR module; the front line TR module is connected with a common-caliber forward antenna; and the backward TR module is connected with a common-caliber backward antenna. Under the condition of a certain size, integration of the three-frequency-band radio frequency bait is completed by utilizing technologies of common caliber, common local oscillator, common intermediate frequency branch and the like, so that a single bait can resist single-frequency-band seekers, double-frequency-band seekers and three-frequency-band seekers, and the survival rate of airplanes facing air-to-air missiles is greatly increased.

The application particularly relates to a distributed electronic reconnaissance equipment multi-target association method based on attribute correlation density peak clustering, belongs to the technical field of electronic countermeasures and passive positioning, and is suitable for a passive multi-sensor positioning system of no less than three reconnaissance equipments. The method first performs attribute correlation of pulse signals based on the Neyman-Pearson criterion, discriminates the homogeneity of pulses, and initially estimates the number of targets; then obtains a target initial position track set through an AOA positioning algorithm, extracts a density peak point set by adopting a dynamic cut-off radius improved density peak clustering algorithm, secondarily clusters and merges the clustering centers of the same target for the point set, and finally completes the association of measured data and real targets. The application solves the problem of low association accuracy of a traditional algorithm in a target close distance, a high-density track and a measurement error scene, effectively eliminates false targets, and improves the accuracy and robustness of multi-target association.

The invention discloses a multichannel anti-reconnaissance waveform design method, which relates to the technical field of electronic countermeasure, and comprises the following steps: constructing a beam forming relationship between a transmitting signal and an expected radar signal waveform according to the expected radar signal waveform and the expected noise signal waveform; constructing a beam forming relationship between the transmitted signal and the expected noise signal waveform; uniformly expressing the beam forming relationship as a matrix form, and combining to obtain the beam forming relationship between the emission signal and the expected radar signal waveform and the expected noise signal waveform; according to the directional diagram constraint, the expected radar signal and the expected noise signal do not interfere with each other, and an optimization problem is constructed; solving the optimization problem to obtain a weight of an expected radar signal and a weight of an expected noise signal; and multiplying the weight of the expected radar signal by the expected radar signal, and multiplying the weight of the noise signal by the expected noise signal to obtain an emission signal of the array element. The anti-reconnaissance capability can be improved.

The invention discloses a chaff cloud cluster electromagnetic scattering calculation method based on a binary-voxel method, and belongs to the technical field of computational electromagnetism and electronic countermeasures. According to the method, an incidence voxel coordinate system and a scattering voxel coordinate system are respectively established through two times of dynamic coordinate rotation transformation, voxel division, chaff concentration statistics and attenuation factor calculation are independently executed on a bidirectional path, and accurate modeling of incidence and scattering path attenuation is realized in combination with a linear moment method basic scattering field solution. According to the method, the scattered field calculation precision of the non-uniform chaff cloud cluster in the complex electromagnetic environment is remarkably improved, meanwhile, the calculation complexity is reduced through voxel-level discretization, and the method can be applied to electronic countermeasure efficiency evaluation.

The application discloses a radar space-time-frequency-energy multi-domain joint intelligent active anti-jamming method, first establishes a confrontation scene under the radar and multi-jammer environment, then sorts out the model parameters and working modes of the radar and the jammer, determines the evaluation index to complete the evaluation of the radar scheduling strategy, and then converts the problem into a Markov decision process, and uses Q learning to solve the optimal strategy of radar multi-domain resource scheduling. The optimization strategy obtained by the method has strong adaptability and good model scalability, and can be adjusted according to the actual need of the scheduled parameter resource. Through the collaborative control of the transmission parameters between the multiple domains of the radar, compared with the existing single-domain resource scheduling anti-jamming method, the radar active anti-jamming capability can be significantly enhanced while improving the task performance, and the potential task performance of the radar is excavated. Meanwhile, Q learning is used to optimize the radar node multi-domain joint active anti-jamming strategy, and the survival ability of the radar in the electronic countermeasure environment is improved.

The invention discloses a multi-antenna radiation source direction finding method using neural network nonlinear processing capability, and relates to the technical field of electronic countermeasure, passive positioning and radar signal processing, and the method comprises the steps: training a preset neural network model through a constructed training sample until the neural network model reaches a preset training end condition; the method comprises the following steps: acquiring an unknown radiation source signal in a multi-channel acquisition mode, and extracting and acquiring a multi-dimensional feature vector from the unknown radiation source signal; inputting the feature vector into a neural network model meeting a training end condition for processing to obtain a radiation source azimuth angle of the unknown radiation source signal; the method does not depend on an ideal antenna array model, and can establish a complex mapping relation between the signal characteristics measured under the actual non-ideal hardware condition and the azimuth angle of the radiation source through a learning mode, thereby remarkably improving the robustness and precision of a direction finding system in a real environment.

The application provides a radar network observable behavior online prediction method, device and electronic equipment in a dynamic electronic countermeasure environment. The prediction method comprises: obtaining observation records of a radar network in a dynamic electronic countermeasure process; constructing a discrete observation sequence of each radar node according to the observation records of the radar node in a preset historical observation window, and performing feature embedding on the discrete observation sequence to obtain a continuous feature sequence of each radar node; inputting the continuous feature sequence of each radar node into a trained radar behavior prediction model to obtain a working mode probability distribution and an anti-interference action probability distribution of each radar node at a next moment. The application can accurately predict the observable behavior of the radar network at the next moment without directly obtaining internal decision basis, physical situation or coordination graph of the radar network, and improves the applicability in a non-cooperative observation scene.

1. The name of the design product: multi-channel radio frequency device. 2. The use of the design product: used in the front end of radio frequency signal processing equipment to realize the docking of multi-channel radio frequency signals and auxiliary control signals, synchronous display of equipment power supply and running state, electrical grounding protection, and adaptation to radio frequency equipment assembly in radar, electronic countermeasure, communication base station and other scenes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a coherent comb spectrum suppression interference method, and relates to the field of electronic countermeasures. The method comprises the following steps: receiving a radar signal, and converting the radar signal into a digital IQ signal; a plurality of coherent suppression interference modules are used for carrying out parallel modulation processing on the digital IQ signals in a digital domain, each module independently carries out modulation, and I-path signals and Q-path signals output by all the modules are added to generate coherent comb spectrum suppression interference signals, the modulation processing comprises the following steps: performing Doppler frequency modulation on the signal after amplitude modulation; performing Doppler noise modulation on the signal after Doppler frequency modulation; the modulated signal is converted into an analog signal, and the analog signal is radiated to a radar after up-conversion and amplification; wherein the coherent comb spectrum suppression interference signal is used for suppressing a real target signal at a radar receiving end. The method has the advantages of high coherence, quick response and adaptive adjustment, real target signals can be effectively submerged, and the interference effect is improved.

The application provides a multi-station frequency agile radar anti-interference and synergistic method, through two short baseline pulse interval frequency agile radars receiving echo signals and carrying out mixing processing and pulse compression; interference pulses of an echo data matrix are removed and the remaining pulses are combined to obtain a new echo data matrix; a distance-speed two-dimensional redundant dictionary matrix corresponding to the new echo data matrix and matched with target information is constructed in combination with transmission parameters; then a compressed sensing model is constructed and a reconstruction result of an original signal is obtained by solving.The application selects two pulse interval frequency agile radars to work synergistically, which can effectively improve signal processing gain, has strong electronic countermeasure capability, good target detection capability and excellent electromagnetic compatibility; by utilizing the characteristic that only some pulses of echo of the pulse interval frequency agile radar may be interfered, the interfered pulses are directly removed in the echo data matrix, and complex matrix operation is not involved, so that the calculation complexity is low and the running speed is fast.

The invention provides an optical receiving multi-wave-velocity system and radar equipment, the multi-wave-velocity system comprises a light emitting front end and a light receiving rear end, microwave signals are modulated to optical carriers with different wavelengths through the light emitting front end, and a plurality of carrier optical signals are combined into one optical signal; the light receiving rear end carries out multi-channel copying, adjustable light delay processing and photoelectric conversion on the light signals to form multi-channel beam signals. Compared with electrical beam forming, the optical receiving multi-wave-velocity system provided by the invention has the advantages of large bandwidth, high-speed parallel transmission, electromagnetic interference resistance and the like; compared with other optical beam architectures, the wavelength division multiplexing cascade architecture is utilized, the optical fiber connection mode is optimized, multi-beam formation is received at the same time, the comprehensive performance of a beam system can be remarkably improved, and the optical beam architecture has very important application value in the fields of radars, electronic countermeasures, remote sensing, communication and the like.

The application belongs to the field of electronic countermeasures and satellite communication interference technology, and discloses a kind of star chain satellite communication link intelligent interference method and device based on phased array antenna to solve the problems of insufficient interference beams and poor interference effect in traditional technology;Firstly, the application can generate and control multiple interference beams simultaneously based on analog-digital hybrid phased array antenna, realizing the synchronous coverage and interference of multiple "star chain" satellite links in the upper air;Secondly, through high-precision estimation of OFDM signal parameters based on cyclic spectrum, accurate signal feature guidance is provided for interference;Finally, based on the extracted signal feature parameters, an intelligent decision mechanism is introduced, and through interference waveform library construction and efficiency function optimization, dynamic and adaptive selection of interference waveform and parameters is realized, thus changing the inefficient mode of relying on preset waveform;Therefore, the application significantly improves the pertinence, adaptability and overall efficiency of the interference system.