1315 results about "Electromagnetic environment" patented technology

The invention relates to a wireless communication test method and system based on a portable frequency spectrograph and a medium, and belongs to the technical field of radio frequency spectrum analysis, and the wireless communication test method comprises the steps: collecting electromagnetic signal original data of a target area; constructing a dynamic electromagnetic environment baseline model; performing filtering and background subtraction processing on the original data of the electromagnetic signal; carrying out modulation mode identification, protocol analysis and terminal identification extraction on the preprocessed signal matrix, generating a multi-dimensional feature vector, carrying out convolution similarity matching on the multi-dimensional feature vector and a legal signal feature template, and distributing a threat level label; dynamically reconstructing scanning parameters of the portable spectrum analyzer according to the threat level label, generating an equipment parameter adjustment record and updating the electromagnetic fingerprint database; and generating a spectrum optimization control instruction based on the threat level label and the equipment parameter adjustment record, and issuing the spectrum optimization control instruction to the target base station or the terminal equipment. According to the application, the identification precision of the threat signal and the control closed-loop linkage capability in a complex electromagnetic environment are improved.

The invention provides an unmanned aerial vehicle high-precision autonomous navigation method and system based on GNSS and IMU deep fusion, and aims to solve the problems of insufficient navigation precision and poor robustness in a complex electromagnetic environment. Through a tight coupling architecture, GNSS original observed quantity and IMU pre-integration results are jointly modeled in an observation layer, and multi-source constraints are introduced in combination with factor graph optimization, so that the positioning precision and consistency in weak signal and shielding scenes are remarkably improved. For abnormal observation, a robust kernel function is adopted to dynamically adjust the weight, and the influence of electromagnetic interference and a multipath effect is effectively inhibited. Meanwhile, navigation calculation and model prediction control MPC are combined, and sub-meter hovering and high-precision trajectory tracking are achieved. According to the method, in high-voltage transmission line inspection, dependence on a high-cost sensor is reduced, the engineering application value is high, the method can be widely applied to the fields of electric power inspection, disaster emergency, infrastructure monitoring and the like, and reliable technical support is provided for high-precision autonomous navigation of the unmanned aerial vehicle in a complex environment.

The invention relates to the technical field of communication, in particular to a dynamic priority dual-mode communication fault-tolerant switching method and equipment, and aims to solve the problems of communication interruption and service quality reduction when a main link is degraded in a complex electromagnetic environment. According to the method, a dynamic priority evaluation model and a dual-mode protocol cooperation mechanism are constructed, throughput, bit error rate, delay jitter, task semantic priority and aging constraint data of a main link and a standby link are collected in real time, a priority weight and a communication mode decision matrix are generated through combined modeling, an atomization switching instruction is executed according to the priority weight and the communication mode decision matrix, and a communication mode is switched. And completing path reconstruction and resource redistribution. The system further introduces link health prediction, a resource reservation pool and an online learning feedback loop, and supports fault pre-judgment, key task preemption and model adaptive optimization. According to the method, the limitation of a static threshold is broken through, the task semantics and channel state joint scheduling is realized, and the communication reliability, the service continuity and the intelligent fault-tolerant capability of a distributed system in a high-risk scene are remarkably improved.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

The invention discloses a multi-base-station AOA cooperative low-altitude target rapid positioning system. The system comprises an AOA measurement base station network, an AOA data preprocessing module, an adaptive weighted intersection positioning module, an extended Kalman filtering state estimation module and a data fusion and system integration module. The system synchronously measures the arrival angle of a target signal through multiple base stations, removes noise in combination with smoothing filtering and an anomaly rejection algorithm, and then solves the initial position of a target by using a self-adaptive weighted intersection algorithm based on measurement quality and geometric distribution. And then, fusing the target motion model and the measurement model by adopting an extended Kalman filtering algorithm to realize dynamic estimation and prediction of the position, the speed and the course. The system can realize high-precision and real-time positioning and continuous tracking of targets such as low-altitude unmanned aerial vehicles, small aircrafts and the like in a complex electromagnetic environment and a sight distance limited scene, and has visual display and regional alarm functions.

The invention relates to a time-varying power high-precision calculation technology of an electric drive system under strong electromagnetic noise interference, and mainly solves the problem of inaccurate power calculation of the electric drive system under strong electromagnetic environment noise and frequency time-varying fluctuation scenes. According to the core technology, a dominant frequency fluctuation curve of a signal is obtained through dynamic tracking of a dominant frequency, and a dynamic band-pass filter changing along with the dominant frequency of the electric drive system is constructed; suppressing pulse noise by combining amplitude self-adaptive filtering of a nonlinear weighting function; a phase demodulation technology fusing zero crossing point correction and Hilbert transform is adopted to eliminate the phase interference problem caused by complex waveforms and weak noise signals; and finally, establishing a time-varying power physical model based on the sliding window. According to the technology, the power calculation accuracy of the electric driving system under the conditions of strong field environmental noise and continuous main frequency conversion is remarkably improved.

The present invention relates to the technical field of energy meter electrical parameter measurement. Disclosed is an intelligent anti-interference system for a power line carrier energy meter. The system comprises: collecting voltage and current signals of a power line, and constructing a sample database; performing time-frequency feature classification by means of a preset model, and establishing feature and scenario mapping by synchronizing scenario recognition results; building a scenario interference recognition network on the basis of the mapping result; collecting real-time data of N communication channels of a power line carrier energy meter, and performing channel coordination decision and anti-interference enhancement; performing communication data evaluation on the basis of a comprehensive scoring function; and performing anti-interference management on the basis of channel access decision, anti-interference enhancement, and a parallel access result. The present invention solves the technical problem of poor accuracy and reliability of metering data of existing power line carrier energy meters caused by interference signals and noise when the power line carrier energy meters are in complex electromagnetic environments, and achieves the technical effect of improving the anti-interference capability and the reliability of the power line carrier energy meters.

The invention discloses an urban low-altitude-oriented grid dynamic evaluation and intelligent route planning system, and belongs to the field of urban low-altitude airspace and routes. And the data processing module is used for inputting static data including the task number, the task time, the unmanned aerial vehicle number, the take-off and landing field number and the total airspace, the continuous airspace is divided into grid units by a project, and a quantitative evaluation model with seven factors including the underlying surface, the communication quality, the navigation quality, the meteorological environment, the electromagnetic environment, the noise and the countering as the core is constructed. The airworthiness score of each grid is calculated through normalization processing and weighted summation, a real-time and scientific decision basis is provided for path planning of the unmanned aerial vehicle, crossing from static planning to dynamic evaluation is achieved, and a set of airspace gridding dynamic evaluation and task planning system is provided and implemented. The system aims to cope with flight risks caused by multiple factors such as complex underlying surfaces, dynamic weather and communication navigation interference in urban low-altitude flight, and the safety and reliability of unmanned aerial vehicle logistics are improved.

The invention discloses a frequency spectrum situation construction method based on an electromagnetic large model, and the method comprises the steps: 1, obtaining electromagnetic signals in different scenes through simulation generation and actual collection, carrying out the preprocessing, and obtaining a frequency spectrum situation data set in multiple scenes; 2, a Vision Transform architecture is adopted as a large model base, a mask self-encoding mechanism is introduced, and a frequency spectrum situation large model is constructed; 3, performing mask self-supervision pre-training on the spectrum situation large model based on the spectrum situation data set under multiple scenes to obtain a pre-trained spectrum situation large model; 4, performing multi-channel scene fine tuning on the pre-trained spectrum situation large model by adopting data sets of different channel fading scenes; and 5, performing spectrum situation construction by adopting the fine-tuned electromagnetic spectrum large model. According to the method, the construction precision, efficiency and adaptability of the spectrum situation map in the complex electromagnetic environment are remarkably improved.

The invention discloses a multi-source fusion positioning method, positioning system and equipment for resisting non-line-of-sight interference. The method comprises the following steps: S1, acquiring RSS (Received Signal Strength), TDOA (Time Difference Of Arrival) and AOA (Attention Of Arrival) of N base stations; s2, selecting a base station with the strongest signal as an initial reference station according to the RSS mean value, and generating all base station combinations containing the reference station; s3, constructing a joint positioning equation for each base station combination, and carrying out initial position calculation on each combination by adopting a weighted least square method to obtain an intermediate position estimated value and a corresponding residual error; s4, identifying the NLOS base station by using sliding window-based multi-feature residual dynamic threshold judgment and effective combination-based NLOS weight penalty verification respectively; and S5, calculating the base station combination according to the residual error and the geometric precision factor to obtain high-precision position estimation. According to the method, unreliable NLOS base station signals can be intelligently identified in a complex electromagnetic environment, the weights of the unreliable NLOS base station signals are reduced, and finally more accurate target position estimation is fused.

The invention belongs to the technical field of superconducting wires, and relates to a niobium-tin composite superconducting wire and a preparation method thereof. The invention provides a Nb3Sn composite superconducting wire. The Nb3Sn composite superconducting wire sequentially comprises an Nb3Sn superconducting wire core, a barrier layer, a stable layer, a transition layer, a substrate layer and a functional layer from inside to outside, the transition layer is formed by mixing copper and a dielectric polymer, and the copper content is continuously decreased in a gradient manner from inside to outside; the substrate layer is the dielectric polymer; the functional layer is a plurality of protruding metal microstructures. According to the invention, the functional layer with the broadband electromagnetic stealth function is integrated on the basis of the Nb3Sn superconducting wire rod, so that the radar cross section is obviously reduced while the Nb3Sn superconducting wire rod bears high-density superconducting current and generates a strong magnetic field, and the technical problem that a high-field superconducting magnet system is easy to detect in an electromagnetic environment is solved.

The invention relates to the technical field of electric field measurement, in particular to a non-contact electric field sensor design method and system, and the method comprises the steps: carrying out the electromagnetic analysis and shielding structure topological optimization based on the environment characteristics of a transformer substation, and generating mechanical design parameters; shielding structure parameters are formed through material selection and electrode optimization, a three-dimensional electromagnetic field simulation model is established, and multi-scene interference simulation and sensitivity verification are carried out; and configuring a temperature compensation circuit and optimizing circuit parameters, performing dynamic response analysis and material matching degree evaluation through a high-frequency material test platform, and finally generating sensor specification parameters. According to the method, the anti-interference performance, the measurement precision and the stability of the sensor are remarkably improved, and the method is suitable for high-precision electric field measurement in a complex electromagnetic environment.

The invention discloses an encrypted communication system and method based on cognitive multi-carrier spread spectrum, and belongs to the field of covert communication. The encryption communication system comprises a transmitting device and a receiving device. The transmitting device comprises a data encryption module, a constellation encryption modulation module, a multi-carrier spread spectrum module, a frequency hopping module and a cognitive power distribution module. The receiving device comprises a band-pass filtering module, a de-hopping frequency module, a de-spreading module, a constellation decryption demodulation module, a data decryption module and a coherent combination module. The data encryption module is divided into an interleaving coding unit and a double-rule reversible cellular automaton encryption unit. The cognitive power distribution module continuously scans a wireless electromagnetic environment and carries out real-time spectrum analysis to give power spectrum density results sensed under all frequency hopping frequency sets. According to the invention, continuous detection and dynamic response to the spatial frequency spectrum state can be realized, and the communication concealment, the anti-interference performance and the resource utilization efficiency in a complex electromagnetic environment are remarkably improved by utilizing the frequency spectrum hole.

The invention discloses a dynamic electromagnetic shielding method for a complex electromagnetic environment and a shielding device thereof, and the method comprises the steps: obtaining real-time voltage data in the complex electromagnetic environment, carrying out the voltage feature analysis, outputting a feature vector of a real-time voltage signal, and analyzing the type of an interference source of a current electric field according to the feature vector, performing interference trend time sequence prediction processing on the feature vector through a pre-trained LSTM model according to the interference source type to obtain a time domain voltage value and a phase deviation value, and performing composite loss coefficient calculation on the time domain voltage value and the phase deviation value to obtain a composite loss coefficient; and performing reverse offset signal synthesis processing on the voltage interference signal according to the calculated composite loss coefficient, performing coil dynamic activation processing on a preset multi-coil array according to the synthesized reverse offset signal, generating a directional offset magnetic field corresponding to the real-time electromagnetic interference, and performing electromagnetic offset shielding on the current electromagnetic interference. According to the invention, transient interference can be responded in time, and the electromagnetic shielding effectiveness can be improved.

The invention relates to the technical field of signal reconstruction, in particular to a complex electromagnetic environment-oriented millimeter wave signal blind source separation and reconstruction system, which comprises a frequency spectrum trend division module, a path fading construction module, an initial cluster label generation module, a multi-solution path screening module and a fusion reconstruction execution module. According to the method, power spectral density sequence processing is carried out on millimeter wave frequency domain data, a multi-dimensional feature group is formed according to a path loss factor, an angle of arrival and the like, and an initial feature cluster is screened through an Euclidean distance, so that the accuracy of signal source classification is effectively improved; after the frequency domain response and the phase contour are continuously subjected to point comparison, path screening is completed by integrating a mean square error residual value, the path misjudgment probability is reduced, time domain resampling and phase frequency offset standardization are executed in fusion reconstruction, the consistency and fidelity of signal reconstruction are enhanced, and the reconstruction precision is improved. The whole process improves the separation accuracy and reconstruction precision of mixed signals in a complex electromagnetic environment.

The invention provides a digital twin unmanned aerial vehicle circuit state monitoring method and system, and the method comprises the steps: firstly collecting a partial discharge pulse sequence of an unmanned aerial vehicle switching power supply circuit, separating environment electromagnetic noise through polarization filtering operation, and extracting real discharge pulses to generate partial discharge fingerprint data; inputting the fingerprint data into a pre-established fault search tree model, judging the type of a capacitor or inductor component through a first-stage branch node, and matching a degradation mode such as capacitance attenuation or magnetic saturation through a second-stage branch node to determine the fault type; then, corresponding component parameters of the equivalent circuit model are dynamically updated in the digital twin body, and the circuit operation state change trend is simulated; and finally, according to the state change trend, predicting the residual effective working time of the fault component and outputting a monitoring result. According to the invention, the accuracy of service life evaluation of key components in a complex electromagnetic environment is improved.

The invention discloses a cognitive interference decision-making method based on deep reinforcement learning and an application system of the cognitive interference decision-making method, which are suitable for an interference unmanned aerial vehicle to complete an intelligent interference decision-making task when resisting a networking radar system in a complex and changeable electromagnetic environment. In order to improve the performance of an existing interference decision-making system in the aspects of sample efficiency and strategy stability, the interference decision-making algorithm DAR-PPO comprises two major innovation modules: one module is a KTD-Clip module which constructs a feedback signal based on experience KL divergence and dynamically adjusts a clipping threshold value in strategy updating so as to control the strategy updating step length, so that the strategy updating step length is always in a stable and effective trustworthiness region; the adaptive capacity of the algorithm to environment change is obviously improved; the second module is an RA-IS module, effective reuse of historical interaction samples is achieved by constructing a trajectory playback pool and introducing clipping importance sampling, meanwhile, a weight entropy regularization mechanism is designed, strategy fluctuation caused by abnormal weights is restrained, and therefore the training sample utilization rate is remarkably increased, and the algorithm robustness is enhanced.

The invention provides a video coding and compression transmission method for intelligent equipment, which belongs to the technical field of video coding and compression transmission, realizes advanced channel quality estimation by establishing a channel prediction model enhanced by a spatial transformation network, configures layered coding parameters according to a prediction result and optimizes motion search in combination with inertial measurement unit data. An optimal coding mode is selected by an application rate distortion optimization algorithm, enhancement layer sending is adjusted according to real-time feedback by adopting a dynamic transmission scheduling strategy, and differential forward error correction protection and a time-space domain error concealment mechanism are matched; the technical problem that video transmission is unstable due to violent fluctuation of channel quality when intelligent equipment moves and works in complex electromagnetic environments such as a transformer substation is solved.

The invention provides a Rowland time delay signal prediction method and system, electronic equipment, a program product and a storage medium. The method comprises the following steps: acquiring an initial Rowland time delay signal; extracting a periodic term of the initial Rowland time delay signal, and inputting the periodic term to a constructed multi-periodic term and trend term model; calculating a residual signal between the observed value of the initial Rowland time delay signal and the output of the multicycle term and trend term model; wavelet decomposition and threshold denoising are carried out on the residual signals; fusing the output of the multi-cycle term and trend term model and the denoised residual signal through an adaptive weight mechanism to obtain a predicted Rowland time delay signal; the deterministic periodic term and the long-term trend drift of the Rowland time delay signal are captured through a multi-periodic term and trend term model, and non-stationary disturbance is processed by using wavelet denoising, so that the Rowland time delay prediction precision is remarkably improved, and the method is particularly suitable for a high-precision timing scene in a complex electromagnetic environment.

The invention discloses a short-wave time difference positioning method based on particle swarm optimization, which is realized by aiming at a short-wave signal source positioning problem under the condition that ionized layer information is unknown through the following steps of: dynamically screening a receiving station combination with optimal geometric distribution by adopting a particle swarm optimization algorithm based on longitude and latitude and time difference observation data of a receiving station group; taking the main receiving station as a coordinate origin, and converting the geographic coordinates of the selected station into rectangular plane coordinates; constructing a time difference positioning equation set by using a Chan algorithm, and calculating a target position through pseudo-inverse solution and an iteration strategy; and filtering the ill-conditioned solution based on a geometric accuracy factor threshold, analyzing a positioning point cluster through sliding window density, and outputting median coordinates as a final positioning result. According to the method, the receiving station is innovatively selected and modeled as a combinatorial optimization problem, the positioning precision in a complex electromagnetic environment is remarkably improved through a collaborative architecture of particle swarm optimization and a Chan algorithm, and the problem of positioning drift caused by poor geometric distribution of stations in a traditional method is effectively solved.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

The invention discloses an anti-unmanned aerial vehicle monitoring and scheduling method with adaptive frequency band identification, relates to the technical field of anti-unmanned aerial vehicle monitoring and scheduling, and is used for solving the problem of poor frequency band identification and interference optimization. According to the method, a closed-loop mechanism with linkage of radar echo analysis, frequency band efficiency evaluation and monitoring scheduling is constructed, frequency band efficiency characteristics of an unmanned aerial vehicle target are extracted through multi-frequency-band monitoring data, a recommended tracking frequency band and a candidate countering frequency band are dynamically identified, and a scheduling reference scheme is generated in combination with frequency spectrum occupation and protected frequency band information. A quantitative basis is provided for frequency band selection and power configuration of the interference equipment; meanwhile, the frequency band weight and the recognition rule are continuously optimized based on monitoring operation feedback, fine judgment of the unmanned aerial vehicle signal and the external electromagnetic interference source is achieved, and the unmanned aerial vehicle wave band recognition accuracy, the scheduling reference reliability and the operation stability of the system in the complex electromagnetic environment are improved.

The invention relates to the technical field of data lines, and particularly discloses a data line system and a data line for intelligently switching data transmission and charging, and the system comprises a dual-core synchronization management module which is used for enabling dual cores to enter an initial detection state through encryption synchronization signaling when equipment is connected; the asynchronous signal processing module is used for generating state judgment parameters through multi-scale sliding window processing and time-frequency domain feature fusion; the consensus decision arbitration module outputs a backtracking trigger signal through dynamic projection transformation and self-adaptive threshold comparison; the state backtracking recovery module is used for generating a retry instruction with a random delay period based on the historical backtracking success rate and the signal quality evaluation; the safety mode control module is used for identifying dominant features by analyzing historical failure records and switching to a safety operation mode; through distributed dual-core cooperative processing and an intelligent fault recovery mechanism, the technical problems of confusion of protocol stacks and deadlock of a state machine in a complex electromagnetic environment are solved, and the anti-interference capability and reliability of the system are improved.

The invention relates to the technical field of electromagnetic compatibility, in particular to a new energy automobile electronic part EMC (Electro Magnetic Compatibility) multi-dimensional simulation verification method, which comprises the following steps of: based on a geometric structure and material attributes of a new energy automobile electronic part, identifying an abnormal field intensity region, extracting a signal path and an electromagnetic wave incident direction, and analyzing an overlapping relationship between the signal path and the electromagnetic wave incident direction; according to the method, the electromagnetic field distribution and the interference source of the parts are accurately modeled and analyzed, the shielding and filtering design is optimized, the electromagnetic compatibility is improved, the interference coupling point is identified, the shielding effectiveness and the filtering effect are evaluated, the optimization policy is identified, the electromagnetic field distribution after optimization is analyzed, the fluctuation data of the external electromagnetic field is captured, and the influence evaluation list of the external electromagnetic field is generated. The reliability of the design under actual working conditions is ensured, electromagnetic interference is prevented, stable work of parts in a variable electromagnetic environment is ensured, the electromagnetic compatibility of the whole automobile is improved, the influence of electromagnetic interference on the functions of the new energy automobile is reduced, the design effect is optimized, and the performance and safety are improved.

The invention relates to a current measurement method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring the magnetic field intensity of the two sides of a monitoring point at the current moment through a first magnetoresistive sensor and a second magnetoresistive sensor which are deployed on the two sides of the same monitoring point of a power transmission line to obtain first magnetic induction intensity and second magnetic induction intensity; wherein the first magnetoresistive sensor and the second magnetoresistive sensor are located in the same electromagnetic environment; according to the first magnetic induction intensity, the second magnetic induction intensity and the error coefficient of the first magnetoresistive sensor and the second magnetoresistive sensor, the initial current value of the monitoring point at the current moment is determined, and the influence of the hysteresis effect on the current value is eliminated; and Kalman filtering processing is carried out on the initial current value of the monitoring point at the current moment to obtain the target current value of the monitoring point at the current moment, so that the accuracy of the measured current value is further improved.

The invention provides a rapid broadband signal detection and identification method and device based on a time-frequency graph, and the method comprises the steps: converting a broadband signal into a time-frequency graph, and inputting the time-frequency graph into a YOLO-X network for signal time-frequency positioning after the time-frequency graph is preprocessed; constructing a complete signal instance containing a Welch power spectrum based on a positioning result; outputting signal category and confidence evaluation through two-stage feature analysis; and finally, realizing automatic processing or expert secondary discrimination according to a confidence threshold. According to the method, deep learning and signal processing technologies are fused, and the signal detection speed, the recognition accuracy and the decision reliability in a complex electromagnetic environment are remarkably improved.

The invention discloses a power inspection-oriented low-altitude electromagnetic abnormal trend early warning method and system, and the method comprises the steps: synchronously collecting electromagnetic spectrum data and flight state data of an unmanned plane when the unmanned plane executes a low-altitude power inspection task, and generating a space-time aligned electromagnetic-flight data sequence; performing feature extraction and matching on the electromagnetic-flight data sequence based on an electromagnetic interference feature library of a typical power interference source, and constructing a dynamic electromagnetic environment situation map by fusing spatial position information of the unmanned aerial vehicle; performing electromagnetic abnormal risk analysis on the dynamic electromagnetic environment situation map by adopting an analysis model trained by a historical power electromagnetic interference event to obtain a dynamic risk assessment coefficient; according to the dynamic risk assessment coefficient, predicting an electromagnetic anomaly trend index in a future preset time period; and comparing the pre-warning threshold value with the multi-level pre-warning threshold value conforming to the electric power safety regulation, and when the pre-warning threshold value exceeds the multi-level pre-warning threshold value, triggering a corresponding pre-warning level and generating a risk avoidance strategy adaptive to the low-altitude electric power inspection scene.

The invention belongs to the technical field of electronic search, and relates to a radio reconnaissance method and system based on multichannel parallel processing and intelligent clustering, and the method comprises the steps: carrying out the multi-phase filtering digital channelization processing of a broadband radio signal, so as to obtain adjacent channel sequences with overlapped frequency bands; performing square law detection and constant false alarm detection on each channel sequence to generate an initial pulse description word; establishing a candidate corresponding relationship in adjacent channels based on arrival time similarity and noise consistency, and determining a cross-channel merging relationship according to frequency range continuity and frequency-time relationship slope consistency to generate a complete pulse description word; performing hierarchical clustering sorting based on the arrival angle and the pulse width; and performing multi-stage differential analysis on a clustering result to extract a repetition frequency sequence and determine a repetition frequency type. According to the technical scheme, the stability and consistency of cross-channel pulse merging and sorting results can be kept under the broadband high-density condition, and the radio search processing precision under the complex electromagnetic environment is improved.

The invention relates to a radar target identification method and device under non-uniform interference based on an attention network, and the method comprises the steps: constructing a frequency attention mechanism through employing the characteristic that the power distribution of interference in a frequency domain is not uniform in a composite interference scene, taking the frequency domain power containing interference echoes as auxiliary information, and carrying out the recognition of a radar target under the non-uniform interference. An interference frequency band is suppressed through attention weighting on a frequency domain, and target priori is enhanced; by combining the joint loss function design of the local MSE loss and the cross entropy loss, the feature discrimination capability and the recognition accuracy of the model are enhanced under the non-uniform composite interference condition. Therefore, the problems of poor robustness, generalization ability and recognition precision of an existing HRRP target recognition model based on deep learning in a complex electromagnetic environment with strong antagonism and composite active interference are solved.

The invention relates to the field of electromagnetic environment simulation, is used for solving the problems of non-standard construction method, single construction means and inflexible adjustment means in construction of a complex electromagnetic environment, and particularly relates to an electromagnetic environment dynamic collaborative construction system based on three-domain fusion, which comprises a cognitive domain, a digital domain and a physical domain. According to the method, the cognitive domain, the digital domain and the physical domain are clearly divided, the specific task and data interaction process of each stage is determined, the communication cost and errors caused by non-uniform standards are reduced, and the quality and effect of electromagnetic environment construction are improved through simulation deduction of the digital domain and optimization of the cognitive domain; meanwhile, an optimization scheme generated by the cognitive domain can be mapped to physical domain equipment or equipment through a digital domain, a construction instruction is accurately analyzed, parameter configuration is executed, it is guaranteed that the scheme is effectively implemented in an actual physical environment, and it is guaranteed that electromagnetic environment construction can reach an expected target.