109 results about "Electronic warfare" patented technology

The invention provides a directional energy multi-target interference system based on an ultra-wideband phased array technology, and the system integrates signal perception, target recognition, interference signal generation and phased array control, so as to achieve the precise interference of an unmanned aerial vehicle cluster. The signal sensing module scans an airspace target through the ultra-wideband phased-array antenna array and obtains spectrum characteristics of a target signal. The target identification module analyzes signal features, identifies an individual target and predicts a motion track and a communication protocol of the individual target. And the phased array control module calculates and adjusts antenna beam forming parameters, and dynamically controls the radiation direction, phase and transmitting power of the antenna. The interference signal generation module generates a matched interference waveform based on the target communication protocol and the trajectory information. The ultra-wideband phased-array antenna array adopts a digital beam forming technology. According to the invention, efficient and accurate directional energy interference can be realized under multiple frequency bands, the confrontation capability of the unmanned aerial vehicle cluster is improved, and the method is suitable for defense tasks in electronic warfare and complex electromagnetic environments.

The invention relates to the field of data analysis in electronic warfare simulation, in particular to a multi-target interference effect real-time analysis method and system in electronic warfare simulation, and the method comprises the steps: building a dynamic multi-path channel model through obtaining multi-path propagation parameters of all interference targets in a target region; simulating a time domain superposition process of an interference signal waveform and a real signal waveform at a receiving end according to the dynamic multi-path channel model to obtain a receiving end synthetic signal and extract signal characteristic parameters; carrying out weighted fusion on the signal characteristic parameters to obtain a dynamic interference efficiency value of the interference target; according to a comparison relationship between the dynamic interference efficiency value and a preset interference efficiency threshold value, adjusting an emission parameter; and when the dynamic interference efficiency value of the interference target is greater than or equal to a preset interference efficiency threshold value, outputting the emission parameter as an interference strategy parameter. The problems of signal misalignment, one-sided interference evaluation and the like in a complex electromagnetic environment are solved, and the accuracy of interference effect analysis and battlefield adaptability are remarkably improved.

A system and method are described for emitter identification and tracking in an electronic warfare (EW) environment. The system includes an antenna array configured to receive signals from radio frequency (RF) emitters during a dwell. Processing circuitry converts the received signals into digital signals. Pulses are detected and characteristics of the pulses determined to form pulse descriptor words (PDWs). The PDWs obtained during the dwell are deinterleaved using unsupervised machine learning to form clusters. The clusters are categorized using one or more supervised machine learning algorithms to determine whether the PDWs correspond to known or unknown emitters and the results tracked as in or out of library emitters. After merging the in or out of library emitters, an emitter report is generated and used to update a library of emitter profiles used by the supervised machine learning algorithms as well as determine countermeasures to generate.

This application provides a simulation method and system for intelligent fusion and dynamic prediction of electronic warfare intelligence. This simulation method uses multi-domain sensors to collect electromagnetic signals in real time, adopts a dynamic adversarial network (DAN) for spectrum matching and anomaly location, and combines spatiotemporal verification to eliminate interference data. It constructs a semantic association graph of radar, communication, and geographic information, fuses time-domain and spatial-domain features through spatiotemporal attention, and dynamically allocates confidence to achieve multi-source data fusion. It predicts threat evolution trends based on a spatiotemporal transformer, outputs threat level, type, and intent, and generates a dynamic situation map in combination with a hybrid density network. It adopts an online incremental learning framework to adapt to new signal patterns, prioritizes updating the prediction module, and dynamically adjusts push priorities through edge-cloud collaborative optimization of a reinforcement learning-driven multi-path distribution mechanism to achieve low-latency transmission of key threat intelligence.

The present disclosure relates to a wind power plant (100) comprising a nacelle (101) and a wind power plant tower (102) onto which the nacelle (101) is mounted. The wind power plant (100) comprises wind power plant interface means (103) adapted to cooperate with corresponding electronic warfare, EW, system interface means (104), comprised in an EW system (110; 110a, 110b, 110c). The wind power plant interface means (103) are adapted to provide transfer of at least one of communication and electric power between the wind power plant (100) and an EW system (110; 110a, 110b, 110c).

The invention discloses a joint design method for an MIMO radar and interference integrated system transceiver, and belongs to the technical field of radar signal processing and electronic warfare. Aiming at the problems of spectrum resource waste, equipment redundancy and electromagnetic compatibility caused by separation of radar detection and interference functions in the prior art, the invention provides an AOFP-based combined waveform and filter design method. A multi-target optimization problem is constructed under energy constraint and peak-to-average ratio limitation, SJNR of a minimum interference target and SJNR of an IRAJ system are taken as targets, a closed-form solution is generated by using a scaling technology, fractional programming and a PML method, and dynamic balance of radar detection and interference functions is realized. The designed waveform has high anti-interference capability and concealment, supports space diversity and time-frequency joint modulation of an MIMO system, and analyzes and verifies strong target echo characteristics and interference suppression performance through a fuzzy function. The calculation complexity of the algorithm and the number of antennas are in a cubic relationship, the convergence speed is high, the comprehensive efficiency of a combat platform in a complex electromagnetic environment can be remarkably improved, and the method is suitable for a new generation of cognitive electronic warfare systems.

The invention provides an intelligent radar and jammer dynamic waveform gaming method based on curiosity driving, and belongs to the field of intelligent radar and intelligent jammer waveform gaming. The problems that the intelligent agent is difficult to effectively learn from limited environment feedback due to lack of a waveform-level dynamic game mechanism close to an actual electronic warfare and a sparse reward problem, and the ability imbalance of the intelligent agent is easy to occur in a training process are solved. The method comprises the following steps: constructing a confrontation environment model, namely modeling a dynamic game of a radar and a jammer into a partially observable Markov decision process, and defining a state space, an observation space, an action space and a reward function; designing a complex field feature extraction network; establishing a decision-evaluation network based on an MADDPG framework; a curiosity exploration strategy is introduced; implementing an opponent agent sampling strategy; and alternately training the radar and jammer agents. The device is mainly used in the electronic warfare field.

The invention provides an arrival wave angle estimation method based on a zero scanning leaky-wave antenna. A rectangular waveguide is selected as a basic structure to design a periodic leaky-wave antenna only working in a-1 harmonic state; designing necessary antenna simulation parameters; a first leaky-wave antenna is designed; adjusting the gap interval p, and designing a second leaky-wave antenna; obtaining pattern functions of the first leaky-wave antenna and the second leaky-wave antenna; proper amplitude and phase parameters are selected for directional diagram synthesis, and a new directional diagram function is obtained; constructing an array guiding matrix suitable for the MUSIC algorithm; signal sources are arranged at different positions, simulation testing is carried out through MATLAB, and the incoming wave angle estimation capability of the zero-point scanning leaky-wave antenna is verified. According to the invention, a feasible technical path is provided for high-precision positioning and tracking application in future 6G mobile communication. The antenna is especially suitable for application in millimeter wave and terahertz frequency bands, such as vehicle-mounted communication, unmanned aerial vehicle platforms, military electronic countermeasures and the like.

The invention belongs to the technical field of radar test and simulation, and particularly discloses a multimode mixed injection type semi-physical radar target simulation evaluation system and method, which comprises a radar / electronic warfare beam synchronization unit, an injection type radar target simulation evaluation system and a simulation control unit. The system obtains radar real-time beam scanning information through a beam synchronization unit, carries out real-time fusion on the radar real-time beam scanning information and avionics control data from an avionics system test bench, drives an injection type system to generate a simulation radio frequency target containing a sum signal, an azimuth difference signal and a pitch difference signal, and provides the simulation radio frequency target to a radar to be tested in an injection mode. And the simulation control unit is responsible for man-machine interaction, controlling a test process and performing automatic comprehensive evaluation on a simulation result. According to the method, automatic evaluation of dynamic closed-loop simulation, multi-mode seamless switching and high-order tactical indexes can be realized, and the method is suitable for high-fidelity performance verification of a modern radar system.

The invention provides a collaborative array position planning method for remote support interference of an electronic warfare aircraft, and belongs to the technical field of shipboard aircraft combat operation. The method comprises the following steps: firstly, in a long-distance support interference scene, determining an interference coverage range of an electronic jammer from two aspects of pitching and orientation; and secondly, calculating the interference effect of the electronic jammer based on the interference unified equation. Thirdly, based on the interference coverage range, designing constraint conditions and a target function, and establishing an electronic jammer collaborative array planning problem model; and finally, based on the electronic jammer collaborative array planning problem model, a genetic algorithm is utilized to solve an electronic jammer optimal array planning scheme of long-distance support interference. The method is suitable for a collaborative array planning problem of electronic warfare aircraft remote support interference, interferes the enemy radar when the jammer formation executes a remote support interference task, reduces the detection threat of the enemy radar to the strike formation, and guarantees the smooth execution of our strike task.

A system and method are described for updating Machine Learning (ML) models in an electronic warfare (EW) environment. The ML models are updated automatically post mission using threat data of emitters in the EW environment and then deployed to hardware in an aircraft. The updated ML models are used during a subsequent mission and include an unsupervised ML model to deinterleave waveforms received from the emitters and a supervised ML model for emitter identification, waveform tracking, and anomaly detection based on the deinterleaved waveforms. The ML models are updated by augmenting templates that indicate the behavior of the emitters and training the ML models using many plausible superpositions of the augmented templates. The ML models are updated by selecting and applying non-linear augmentations of at least one of the templates and new templates randomly using a Monte Carlo approach.

A high energy laser (HEL) weapon system for counter-UAS (C-UAS) use comprises a fully self-contained laser system including a power supply, thermal management, high-capacity batteries, and integrated radar and electronic warfare subsystems.

An electronic protection (EP) missile has its warhead unit replaced by an electronic warfare (EW) pod which functions to jam enemy air defenses to protect the other missiles in a long rage strike package throughout a mission. The EP missile is otherwise configured similar to armed missiles with which it is launched as part of the strike package.

The invention provides an electronic warfare equipment relation extraction method based on BERT and a Bayesian classifier, and belongs to the technical field of knowledge graph relation extraction. The method comprises the following steps: S1, preprocessing text data, and adding a label based on a classification result; s2, constructing an embedding layer, and converting the Chinese data into vector representation by using the embedding layer; s3, constructing a bidirectional encoder, and extracting context features by using the bidirectional encoder; s4, a naive Bayes classifier is constructed, and classification is carried out; and S5, carrying out model training and testing to obtain a relation extraction result. According to the method, the accuracy and practicability of electronic confrontation text relation extraction can be improved.

A method, apparatus and system for countering unmanned aerial systems (UAS). More specifically, this disclosure, and the exemplary embodiments described herein, provide portable detachable / attachable drone hijackers / jammers and systems meant to act as a stand-in electronic warfare device that can be configured and attached to another unmanned device. According to an exemplary embodiment, the disclosed method, apparatus and system targets adversarial UAVs by leveraging their protocol vulnerabilities and attacking their communication links between a target and its ground control station (GCS), or other communication links to other devices (such as GNSS and other UAVs). Its detachable nature gives the Detachable Drone Hijacker a stand-in capability where it can exist amongst its targets and deliver air-to-air attacks.

A system and method are described for emitter identification, emission tracking, and anomaly detection in an electronic warfare (EW) environment. Association results are obtained of waveforms of the emitters in a current dwell. The association results include a current distribution of inferred groupings of the waveforms. Features are generated for each waveform by comparing the current distribution and recent emitter historical behavior contained in a Dynamic Emitter Library (DEL). A probability of association with a track is determined for each waveform based on the features generated through the comparison. An identity of an emitter based on the probability and anomalous behavior of the emitter are inferred for each waveform.

The application discloses a time difference positioning method based on random robust least square, mainly solves the threshold effect of the existing time difference positioning method when the measurement error increases, and leads to the problem of sharp deterioration of positioning accuracy, and the implementation scheme is as follows: a plurality of observation stations and noise measurement errors are set, the time difference positioning equation is obtained by using the position parameters and the measurement errors, an auxiliary variable is defined, the auxiliary variable is introduced into the time difference positioning equation to establish a constraint equation, the constraint equation is processed by using a random robust least square method to obtain a cost function, the cost function is solved by using a least square method to obtain a target position, a new constraint equation is established according to the internal relation of the auxiliary variable elements, the new constraint equation is solved by using a weighted least square method to obtain a positioning error, the target position is linearly corrected by using the positioning error to obtain a final positioning result, and the target positioning is completed. The application reduces the positioning error, improves the positioning accuracy and the robustness of positioning, and can be used in aerospace, navigation and electronic warfare.

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 invention provides an unmanned aerial vehicle cooperative sensing method and system based on multi-source grey correlation data fusion, and belongs to the technical field of multi-unmanned aerial vehicle cooperative reconnaissance and feature fusion. According to the method, a multi-station data fusion method is utilized to perform data association, fusion and optimization on radiation source signals acquired by multiple unmanned aerial vehicles, so that cooperative reconnaissance among the multiple unmanned aerial vehicles in the field of electronic countermeasures is realized, and high-precision radiation source signal parameters can be stably acquired in a multi-interference environment; compared with the prior art that only single unmanned aerial vehicle system reconnaissance is carried out and traditional multi-unmanned aerial vehicle reconnaissance results are directly and averagely fused, multi-station data fusion optimization is utilized, high-precision radiation source signal measurement and information association under a multi-station data fusion framework are achieved, the effect of electronic confrontation reconnaissance is greatly improved, and the method is suitable for large-scale popularization and application. And higher requirements on reconnaissance precision and efficiency in a modern electronic warfare environment are met.

An electronic warfare apparatus includes a Doppler generator configured to change an input frequency of a transmission signal of a radar and output a deception signal having a deception frequency, a distributor configured to distribute the deception signal to a first path and a second path, a noise processing unit located in the first path and configured to mix noise with the deception signal and then control a signal intensity of the noise, a deception signal processing unit located in the second path and configured to control a signal intensity of the deception signal, and a combiner configured to combine a noise signal output from the noise processing unit and the deception signal output from the deception signal processing unit and output a noise mixture deception signal.

The present invention discloses a motion platform-based statistical histogram pulse pair defuzzification method, which primarily addresses the high computational complexity and low real-time performance issues of existing statistical histogram pulse pair defuzzification methods. The implementation scheme comprises the following steps: providing a primary motion platform and multiple auxiliary motion platforms, measuring the arrival time differences of received target pulses, and pairing them within a time difference window to form a time difference pair dataset; calculating a time difference boundary threshold based on the movement distance of the auxiliary motion platforms within the observation time; classifying the time difference pairs in the time difference pair dataset that meet the time difference boundary threshold using a statistical histogram method; setting a quantity threshold based on the number of target pulses, and using the quantity threshold to screen the classified results, selecting true time difference pairs and eliminating false time difference pairs, thereby completing pulse pair defuzzification. The present invention effectively reduces the system computational complexity and improves the system's real-time performance, and can be applied to aerospace and electronic warfare.

The invention discloses a strong electromagnetic protection design method for an electronic warfare unmanned aerial vehicle, and relates to the technical field of electromagnetic protection, electromagnetic interference and electromagnetic compatibility. Establishing an electromagnetic simulation model of the unmanned aerial vehicle and the electronic warfare load, and simulating the electromagnetic environment of the key position; distributing electromagnetic protection indexes of the electronic equipment according to the electromagnetic environment simulation result; front door protection design and rear door protection design are carried out on the equipment level, and comprehensive radio frequency management is carried out on the system level; and carrying out equipment electromagnetic compatibility test verification and full-system electromagnetic compatibility test verification, and finally ensuring compatible work of the unmanned aerial vehicle and the electronic warfare load. The invention provides a top-down strong electromagnetic protection design method for solving the electromagnetic compatibility problem caused by strong electromagnetic interference task loads such as a communication electronic warfare system and a radar electronic warfare system carried by the unmanned aerial vehicle, and the electromagnetic compatibility of the system is improved.

The invention relates to the technical field of national defense, in particular to a multi-sensor collaborative national defense electronic security monitoring system which comprises a sensing network layer, a collaborative perception layer, a control decision layer, a communication facility layer and a countermeasure effect layer. According to the multi-sensor collaborative national defense electronic safety monitoring system, multi-source data of radar, photoelectric and infrared thermal imaging, acoustics and vibration sensing and the like are integrated, multi-dimensional features of electromagnetism, vision, acoustics and the like are covered, complex targets are recognized, false alarms are filtered, and the multi-sensor collaborative national defense electronic safety monitoring system is obtained through the regional fusion module and the central situation fusion module. The method comprises the following steps: constructing a global battlefield situation map from sensor data, reasoning the intention of an enemy in combination with a cognitive engine, automatically adjusting sensor parameters, integrating military optical fibers, satellite communication, ad hoc networks and the like according to environment and task requirements, ensuring data transmission under extreme conditions, and integrating physical interception, electronic warfare and network confrontation through a confrontation effect layer. And a closed-loop logic scheme of detection-decision-strike-evaluation is realized.

The invention discloses an ultra-wideband microwave photonic link with in-band spurious suppression capability, which comprises a laser, an electro-optical modulator, a sideband phase shifter and a photoelectric detector, and is characterized in that the laser is used for outputting an optical carrier signal; the electro-optical modulator is used for modulating a radio frequency input signal to an optical carrier signal to form a modulated optical signal; the sideband phase shifter is used for performing phase shifting processing on the stray sideband to obtain a phase-shifted optical signal; and the photoelectric detector is used for carrying out photoelectric conversion on the phase shift optical signal and restoring a radio frequency signal as a radio frequency output signal. In the invention, coherent cancellation is carried out by adopting an optical domain spurious signal modulation sideband phase shift mode to realize directional suppression of spurious signals, so that spurious signal suppression in an ultra-wide transmission frequency band can be realized, the inherent broadband transmission capability of a microwave photon link is not damaged, and the method can be applied to the fields of radar, electronic warfare, communication, navigation, monitoring and the like.

The invention discloses a precise deception jamming signal photonics generation method for a synthetic aperture radar (SAR), and relates to the field of optical communication, microwave technology and electronic countermeasure. According to the method, a laser device LD, a dual-polarization quadrature phase shift keying modulator DP-QPSK, a bridge, an arbitrary waveform generator AWG, an optical band pass filter OBPF, an erbium-doped fiber amplifier EDFA, a polarization controller PC, a polarizer Pol and a photoelectric detector PD are included. According to the invention, high-fidelity false target deception can be realized by using only one DP-QPSK modulator, a template signal generation method directly used for a microwave photon frequency conversion system is designed, complex signal processing is not needed, SAR deception jamming signals can be generated through one photon mixing, the signal processing complexity is reduced, and the signal processing efficiency is improved. The method is simple in structure, good in real-time performance and high in parameter reconfigurable capability, a false target image is highly similar to a real target, effective cheating can be achieved, the method conforms to the future development trend of an electronic countermeasure system, and the method has application value in the fields of future radar electronic warfare and the like.

The application discloses a transparent transmission metasurface system based on a game optimization algorithm, and relates to the technical fields of electromagnetic metasurfaces and radar electronic warfare. The application discloses a transparent transmission metasurface system based on a game optimization algorithm, and relates to the technical fields of electromagnetic metasurfaces and radar electronic warfare. The application discloses a transparent transmission metasurface system based on a game optimization algorithm, and relates to the technical fields of electromagnetic metasurfaces and radar electronic warfare. The application discloses a transparent transmission metasurface system based on a game optimization algorithm, and relates to the technical fields of electromagnetic metasurfaces and radar electronic warfare. The application discloses a transparent transmission metasurface system based on a game optimization algorithm, and relates to the technical fields of electromagnetic metasurfaces and radar electronic warfare. The application discloses a transparent transmission metasurface system based on a game optimization algorithm, and relates to the technical fields of electromagnetic metasurfaces and radar electronic warfare.

A high energy laser (HEL) weapon system for counter-UAS (C-UAS) use comprises a fully self-contained laser system including a power supply, thermal management, high-capacity batteries, and integrated radar and electronic warfare subsystems.

This invention discloses a fully enclosed, expandable, air-cooled chassis, relating to the field of electronic warfare equipment technology. It includes an upper cover, a lower cover, and a chassis body. The chassis frame forms an independent air duct cavity and four sets of equipment mounting cavities. Full sealing is achieved through sealing rings and sealing ropes, meeting rainproof and electromagnetic shielding requirements. The frame features standardized interfaces, supporting longitudinal expansion of multiple chassis. The heat dissipation fins are equipped with heat collection chambers and slidably deployable heat dissipation teeth, combined with shape memory alloy heat collection springs and push rods to form an adaptive heat dissipation structure. Under low-power conditions, the heat dissipation teeth are partially embedded; under high-power conditions, they automatically extend and expand, improving heat dissipation area and efficiency. The fan is detachably connected via a fan mounting plate, supporting rapid model replacement. This invention solves the shortcomings of conventional chassis, such as poor environmental adaptability, low expandability, and fixed heat dissipation efficiency, and is suitable for complex electronic systems with high environmental adaptability requirements, such as electronic warfare systems.

The present application belongs to the field of airborne electronic warfare system architecture design, and specifically relates to a distributed airborne electronic warfare system architecture. The system architecture includes an electronic warfare type nose, a baseline type electronic warfare system, a mid-frequency band electronic warfare aperture, and a radar type nose, wherein the baseline type electronic warfare system is arranged at the leading edge and trailing edge of the wing, the mid-frequency band electronic warfare aperture is set to omnidirectional coverage, the electronic warfare type nose, the baseline type electronic warfare system, the mid-frequency band electronic warfare aperture, and the radar type nose are all connected to a signal processing platform, and the signal processing platform is used to manage and schedule the electronic warfare functions of each subsystem. The present application can achieve penetrating electronic warfare capabilities in a strong electromagnetic environment through an electronic warfare type nose, and has electronic warfare capabilities covering omnidirectional 4π space. At the same time, it adopts a multifunctional integrated design, which reduces the volume, weight, and power consumption of the UAV radio frequency sensor, and solves the position contradiction problem of the multi-antenna aperture layout.

A hybrid electronic warfare and communications system (EW / COMM) eliminates the space, power, weight, and cost of a dedicated communication system by exchanging messages with other nodes in a network as phase modulations of radar jamming signals. Some embodiments impose message phase modulations onto CW jamming signals, while other embodiments interleave message phase modulations with pseudorandom phase modulations of the jamming signals. Message chip rates can be matched to pseudorandom phase modulation chip rates. Messages are thereby obfuscated as either phase noise or random phase modulation of the jamming signals. Messages can be encoded as BPSK or QPSK modulations. Messages can be preceded by pre-established headers known to other nodes, and distinguished thereby from random noise modulations. Some embodiments include a dedicated COMMS module and / or antenna, while other embodiments implement the communications function mostly or entirely in software. Messages can be encrypted before transmission and decrypted after reception.