603results about "Communication jamming" patented technology

The invention discloses an unmanned aerial vehicle intrusion real-time alarm and countering guidance system based on RID information. The system comprises a multi-source information acquisition and fusion module, an intrusion detection and threat evaluation module, a real-time alarm and countering strategy generation module, a feedback evaluation and strategy iteration module, a signal loss prediction and compensation module, a comprehensive processing terminal module and the like. The system establishes a three-dimensional geofence model by analyzing remote identification information of the unmanned aerial vehicle and fusing radar, photoelectric, electromagnetic and other multi-source data, and performs dynamic judgment and multi-factor threat grading on a target intrusion state. Multi-mode alarm is automatically triggered according to the threat level, and a hierarchical countering scheme from broadcast alarm and electromagnetic interference to physical capture is generated; and when the RID signal is lost, the system realizes continuous tracking and state recovery of the target by using a motion prediction and probability association algorithm.

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 an unmanned aerial vehicle countering method and countering device for radio detection, and relates to the field of signal processing, and the method comprises the steps: scanning and capturing a transient radio frequency pulse signal through a radio frequency receiving array, carrying out the time-frequency domain conjoint analysis, constructing a signal intensity space distribution matrix, and extracting a parameter set; matching with a protocol feature library, identifying an unmanned aerial vehicle remote control link protocol type, and calculating an unmanned aerial vehicle position and a threat level in combination with a signal time difference of arrival and a frequency difference; generating adaptive interference signal parameters according to the protocol type and the threat level; the method comprises the following steps: generating a directional beam through a two-dimensional phased-array antenna, focusing the position of an unmanned aerial vehicle to transmit an interference signal, monitoring signal intensity change and protocol response delay in real time, calculating a communication suppression ratio, and iteratively optimizing an interference strategy until a suppression threshold is reached. The method has the advantages that efficient and accurate signal capture and interference are realized through multi-channel radio frequency detection, accurate positioning and adaptive interference technologies, and the countering efficiency and adaptability are remarkably improved.

The invention discloses a communication base station spectrum signal anti-interference method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring radio frequency spectrum signals in a coverage range of a base station, extracting interference signal features to generate a multi-dimensional feature vector group, constructing an interference propagation prediction matrix, calculating an interference diffusion probability, and generating a prediction data set. And according to the prediction data set, calculating anti-interference parameters under different interference combinations and constructing a strategy preset library. And when a target interference signal is detected, feature parameters are extracted to be matched with the prediction data set, and a corresponding anti-interference parameter combination is selected for processing. In the processing process, the monitored signal-to-noise ratio and the bit error rate are compared with a reference threshold value, feedback evaluation data are obtained, and preset library parameter configuration is updated. By implementing the technical scheme provided by the invention, the communication accuracy of the communication base station can be improved.

The invention discloses a wireless communication anti-interference strategy optimization method and system based on reinforcement learning, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining the communication environment state information of a target scene in real time; inputting the communication environment state information into a pre-trained anti-interference decision model, and obtaining an anti-interference action at the current moment; and executing an anti-interference action through an anti-interference action actuator, synchronously collecting anti-interference action response information, and carrying out collaborative updating on the anti-interference decision model according to the anti-interference action response information. The technical problems that an existing wireless communication anti-interference technology lacks self-adaptability and intelligent decision-making capacity to a dynamic complex interference environment, an anti-interference strategy is difficult to adjust in real time, and the anti-interference effect is limited are solved.

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 provides an anti-eavesdropping system and an anti-eavesdropping method for eavesdropping according to a substance vibration principle. The system comprises an anti-eavesdropping intelligent host which is arranged indoors and comprises a pickup module and a signal processing module; the pickup module is used for picking up a sound signal of an indoor target sound source; the signal processing module is connected with the pickup module and is used for processing the sound signal to generate an interference signal; and the at least one interference generator is arranged on a solid isolator for isolating the indoor space from the outdoor space, is connected with the anti-eavesdropping intelligent host, and is used for converting the interference signal into a mechanical vibration signal so as to interfere an eavesdropping device through the mechanical vibration signal. According to the environment medium vibration principle, anti-eavesdropping is effectively achieved through reverse interference of the mechanical vibration signals on the eavesdropping device, and the anti-eavesdropping device has the advantages of being independent of sites, rapid in deployment and low in cost.

The invention relates to the technical field of radio navigation and countering, and particularly discloses an unmanned aerial vehicle interference system and device based on phased array radar direction finding. The system comprises a phased array radar direction finding module, an environment electromagnetic propagation characteristic modeling module, an interference beam dynamic planning module and a digital beam forming interference module. Through constructing a three-dimensional electromagnetic propagation model and based on propagation loss and a multipath effect predicted by the model, a beamforming weight used for pre-compensating environmental influence is optimized and calculated, and finally an interference antenna array is driven to radiate an intelligent beam subjected to environmental pre-compensation, so that high-intensity interference is formed at an actual physical position of a target unmanned aerial vehicle, and the target unmanned aerial vehicle is subjected to environmental pre-compensation. Direction finding errors are overcome, and interference efficiency and electromagnetic compatibility are improved.

The invention discloses an unmanned aerial vehicle detection and directional interference system based on an artificial intelligence technology, which belongs to the technical field of unmanned aerial vehicle detection interference and comprises a data acquisition module, an unmanned aerial vehicle identification module, a geographic information correction module, a trajectory prediction module and a directional interference module. The data acquisition module is used for acquiring geographic information data of a target area based on a geographic information system, comprises a radar, an acoustic sensor and a radio frequency spectrum detection sensor, and is used for acquiring feature data of a moving object in the target area; and the unmanned aerial vehicle identification module obtains feature data of a moving object in the target area based on the data acquisition module. According to the unmanned aerial vehicle detection and directional interference system based on the artificial intelligence technology, the obstacle in the target area is identified, the personalized behavior of the unmanned aerial vehicle is analyzed, the trajectory prediction and interference strategy of the unmanned aerial vehicle is optimized in combination with topographic features, and the trajectory prediction precision and the directional interference effect are improved.

The invention relates to the technical field of unmanned aerial vehicle detection, in particular to a civil small unmanned aerial vehicle cat eye detection and countering system which comprises the steps that a cat eye detection module collects cat eye reflection characteristic signals, environment sensing data and unmanned aerial vehicle flight state associated information in an airspace; the threat level evaluation center identifies the type of the unmanned aerial vehicle and the intrusion risk level through an improved random forest model, and measures the real-time airspace position; the dynamic trajectory modeling module constructs a digital twin flight model of the civil small unmanned aerial vehicle, and simulates a flight trajectory and a potential intrusion path by using an intention pre-judgment algorithm; the grading countering unit generates a non-destructive countering strategy according to the intrusion risk grade, the flight path and the potential intrusion path; the man-machine interaction unit constructs a visual airspace monitoring scene, renders a detection result, an intrusion risk level and a countering effect in real time, and carries out man-machine interaction operation. Therefore, the problems of insufficient perception, poor decision collaboration and the like in the prior art are solved.

The invention discloses a portable multi-band unmanned aerial vehicle interference method and system based on a directional antenna array, and belongs to the field of unmanned aerial vehicle countering. The invention discloses a portable multi-band unmanned aerial vehicle interference method and system based on a directional antenna array. The method comprises the following steps: detecting and tracking a multi-sensor fused target; generating a multi-band interference signal; multi-band signal interference based on a directional antenna array; the system comprises a detection and tracking module, a signal generation and processing module, a directional interference array module, a main control and interaction module and an integrated platform and support module. The problems that in the prior art, a high-speed maneuvering unmanned aerial vehicle is difficult to track, and a modern unmanned aerial vehicle using multiple communication frequency bands at the same time cannot be effectively handled are solved. The method is high in interference efficiency and long in acting distance, wide effectiveness of unmanned aerial vehicles of different models and different communication configurations is guaranteed, multi-band coverage is achieved, the beam switching speed reaches the millisecond level through electronic beam forming, and the capacity of coping with complex targets is high.

The invention relates to the technical field of wireless communication, in particular to a secure communication perception integrated system optimization method based on rate segmentation multiple access and a reconfigurable holographic surface, which comprises the following steps: constructing a secure communication perception integrated system model; constructing a multi-objective joint optimization problem; a multi-objective joint optimization problem is decomposed into three sub-problems, and solving algorithms are designed respectively; and sequentially updating the solutions of the three sub-problems in an alternate iteration mode until a convergence condition is met, outputting an optimal parameter, and carrying out multi-dimensional verification on the system performance. According to the invention, through a rate segmentation multiple access public stream-private stream layered coding mechanism, the system can intelligently convert part of signal energy into man-made interference to potential eavesdroppers, and at the same time, a high-dimensional beam forming degree of freedom provided by a reconfigurable holographic surface is utilized; accurate orientation of legal user signals and accurate control of null depth of an eavesdropping direction are realized.

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.

The invention discloses a sweep frequency interference modeling and interference optimization method for a remote control data link of an unmanned aerial vehicle. The invention provides: 1) a transmitter-receiver adaptive modeling system based on unmanned aerial vehicle signal priori parameters; 2) an interference source generation system which comprises four modulation types of single-tone interference, random binary code modulation interference, PN code MSK interference and pulse interference and integrates two modes of stepping frequency sweeping and frequency hopping frequency sweeping; and 3) an interference strategy intelligent optimization system based on a particle swarm optimization algorithm. Performing similarity verification through DTW, and establishing a high-fidelity communication link model; connecting an interference source to a communication system by adopting a front door coupling mechanism, and constructing a bit error rate-oriented black box optimization model; and finally, carrying out mechanism analysis on an optimization result through a multi-dimensional interference effectiveness evaluation system. According to the method, an efficient interference parameter optimization scheme is provided for the unmanned aerial vehicle countering defense system, the optimization convergence speed is remarkably improved while the interference efficiency is guaranteed, and the method has important application value in the field of low-altitude security and protection.

The invention relates to the technical field of unmanned aerial vehicle anti-interference, in particular to a cloud collaborative unmanned aerial vehicle anti-interference system, which comprises a sensing and pre-processing module, an edge calculation and collaboration module and a cloud decision and management module, and is characterized in that the sensing and pre-processing module comprises a multi-mode sensing unit, an identification analysis unit and a control unit; wherein the multi-mode sensing unit acquires environmental electromagnetic interference intensity, spatial topological data and multi-source sensing data in real time, and realizes interference source positioning through a data fusion technology; the identification analysis unit adopts a lightweight AI model to carry out real-time processing on the multi-modal data; according to the invention, rapid and accurate interference sensing and autonomous response are realized, rapid identification, positioning and classification of interference signals are realized through multi-modal sensing and a lightweight AI model, and the speed and accuracy of anti-interference response of the unmanned aerial vehicle in a complex electromagnetic environment are significantly improved by combining an adaptive antenna, high-speed frequency hopping and an intelligent control algorithm.

The invention discloses a wireless communication dynamic anti-interference optimization method and platform based on edge computing, and relates to the technical field of wireless communication anti-interference, and the method comprises the steps: collecting wireless channel state information and external interference source features in real time at an edge node, and constructing a real-time interference feature vector according to a collected data set; generating an interference prediction matrix; constructing a dynamic interference topological graph among network nodes, taking the dynamic interference topological graph as environment input, and utilizing reinforcement learning to generate an adaptive anti-interference strategy; and executing self-adaptive anti-interference strategy compensation, issuing a compensation result to the edge node, and executing anti-interference control. The technical problems that in the prior art, wireless communication anti-interference real-time response lags behind, global adaptability is insufficient, and local immediate response and overall reliable anti-interference requirements are difficult to consider are solved, and edge real-time anti-interference and cloud global collaborative optimization are achieved. And the technical effects of real-time performance, reliability and adaptability of wireless communication anti-interference are improved.

The embodiment of the invention provides a novel high-integration ultra-wideband dual-channel high-energy microwave module for countering an unmanned aerial vehicle system, and relates to the field of electronic countermeasure, the module comprises a module cavity, the module cavity is internally provided with a high-voltage-resistant radio frequency substrate and a high-energy-storage radio frequency power supply control daughter board, and the high-voltage-resistant radio frequency substrate and the high-energy-storage radio frequency power supply control daughter board are arranged in the module cavity; a high-power radio frequency chip, an ultrahigh-power radio frequency chip and a high-voltage isolator are welded on the high-voltage-resistant radio frequency substrate; the high-power radio frequency chip and the ultrahigh-power radio frequency chip are connected with the high-energy-storage radio frequency power supply control daughter board; the high-power radio frequency chip and the ultra-high-power radio frequency chip are arranged in a cascade form; and the high-voltage isolator is located at the output cascade end of the last-stage ultra-high power radio frequency chip in the cascade chip structure. According to the invention, ultra-wideband high-power radio-frequency signal and high-airtightness transmission can be realized, single-channel output power of tens of thousands of watts can be provided, and the ultra-wideband high-power radio-frequency power divider is suitable for application scenes such as portable unmanned aerial vehicle countering or high-maneuverability unmanned aerial vehicle countering.

The invention provides an unmanned aerial vehicle high-voltage environment electromagnetic interference multi-level protection method and system, and belongs to the field of unmanned aerial vehicle anti-electromagnetic interference. Comprising the steps of collecting electromagnetic spectrum data, identifying an interference type and setting an initial anti-interference parameter; monitoring the electric field intensity in the flight process of the unmanned aerial vehicle, and dynamically adjusting an active anti-interference strategy according to the interference type; differential electromagnetic shielding and wave absorbing treatment is carried out on the unmanned aerial vehicle structure module; correcting the navigation positioning information by adopting a data fusion algorithm, and compensating the sensor data in real time based on a preset interference-error mapping model; key performance indexes of communication, positioning and sensor data are monitored in real time, and when the key performance indexes exceed a threshold value, an adjustment instruction is generated for feedback iteration, and closed-loop optimization is achieved. According to the invention, full-process collaborative protection from sensing, suppression, isolation to compensation is realized, and the communication reliability, positioning precision and data accuracy of the unmanned aerial vehicle in high-voltage strong electromagnetic environments such as a high-voltage transmission line and a transformer substation are improved.

The invention provides a self-adaptive interference suppression method and system for a multi-band signal. The method comprises the following steps: acquiring a multi-band original signal set comprising a plurality of band continuous signal units; then, an adaptive interference modeling model is called to carry out interference mode characterization processing, and an interference signal characterization result is generated; dynamically configuring an interference suppression parameter set in one-to-one correspondence with each frequency band signal interference mode based on an interference signal characterization result; performing adaptive interference suppression processing on the multi-band original signal set by using the interference suppression parameter set to obtain a preliminary suppression signal set; and finally, feeding back the initial suppression signal set to the adaptive interference modeling model for iterative optimization processing to generate a final interference suppression signal set. According to the invention, accurate analysis and adaptive suppression of multi-band signal interference are realized, the stability and reliability of signal transmission are improved, and the complexity and cost of the system are reduced.

The invention provides an unmanned aerial vehicle signal abnormity processing method, system and device and a medium, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: generating a relative position relation of any two unmanned aerial vehicles according to a plurality of flight parameters; matching the radio signals acquired by the unmanned aerial vehicles according to the relative position relation to generate a feature matching index; identifying the interference signal according to the feature matching index, recording the time point when each unmanned aerial vehicle detects the interference signal, and generating a detection time sequence; when the interference signal is interrupted at the target unmanned aerial vehicle, selecting a cooperative unmanned aerial vehicle according to the detection time sequence; calculating the target position of the signal source of the interference signal by combining the signal intensity and the time difference on the basis of the flight parameters of each cooperative unmanned aerial vehicle; and according to the change trend of the target position, predicting a movement track of the signal source, and according to the movement track, generating target flight parameters of the plurality of unmanned aerial vehicles. The technical effect of the invention is that the rapid change of the position of the interference source can be effectively handled.

A wireless communication device includes a processor to determine signal characteristics of digitized down-converted signals across first intermediate frequency band and second intermediate frequency band based on spatial analysis on the digitized down-converted signals. The processor perform cross-band correlation between the digitized down-converted signals across the first intermediate frequency band and the second intermediate frequency band. The processor detects jamming signal and jammer type in digitized down-converted signals based on cross-band correlation and determined signal characteristics of the digitized down-converted signals. The processor applies spatial nulling to multiple-input-multiple-output (MIMO) antenna array to dynamically suppress jamming signal when jammer type is spatial jammer. The processor activates jammer defense function to switch communication to unaffected intermediate frequency band when jammer type is non-spatial jammer and jamming signal is detected on primary intermediate frequency band and perform cross-band validation on digitized down-converted signals to confirm mitigation success of jamming signal.

The invention discloses a low-altitude unmanned aerial vehicle countering monitoring system based on state feature decoding, relates to the technical field of unmanned aerial vehicle prevention and control, and is used for solving the problem of poor low-altitude target detection and countering. According to the invention, through closed-loop management and control of heterogeneous radar networking detection, signal level fusion processing, threat assessment and resource scheduling and intelligent countering decision, accurate identification and directional countering of the low-altitude unmanned aerial vehicle are realized; according to the method, the detection precision and the micro-Doppler feature extraction capability of a low-speed small target are improved by combining a virtual aperture synthesis technology, then unbalanced resource allocation is implemented based on a threat level, the system efficiency is optimized, and finally seamless migration of an interfered node task is realized by constructing a signal interference situation map. And continuous tracking and effect evaluation on the target are maintained in the active radio frequency countering process, so that the overall efficiency and reliability of low-altitude security and protection in a complex environment are effectively improved.

The invention belongs to the technical field of security and secrecy, and particularly relates to a vehicle secrecy technology detection method and system based on a shielding tent. Constructing a signal isolation environment in the electromagnetic shielding tent; establishing a noise baseline model through spectral analysis; wireless terminal equipment detection is carried out through an all-standard terminal analyzer; a non-linear node detector, an infrared thermal imager, a near-field signal detector, a back scattering type X-ray machine and an endoscope are used for cooperatively scanning in different regions; and by combining algorithms such as big data and machine learning, positioning an overproof signal source, and if a suspicious device is found, disposing according to rules and obtaining evidence. According to the method, the problems of low standardization degree, high equipment false alarm rate, low implementation efficiency and low detection comprehensiveness when the vehicle is subjected to confidentiality technology detection in an open environment are solved. The method is suitable for eavesdropping, stealing and positioning device detection of secret-related vehicles.

The invention relates to the technical field of communication transmission, and particularly discloses an anti-electromagnetic interference high-speed transmission data wire harness system and a data wire harness, and the system comprises an electromagnetic environment monitoring module, an interference characteristic analysis module, an interference situation prediction module, a transmission parameter decision module and a transmission execution control module. The method comprises the following steps: acquiring an electromagnetic interference spectrum and transmission quality parameters in real time, and performing feature extraction by using wavelet packet transformation to generate an environment state vector; predicting a future interference situation based on a gradient boosting decision tree model; establishing a dynamic mapping relation between interference intensity and transmission parameters according to a prediction result, and generating a configuration scheme comprising a coding scheme, a power adjustment mode and a modulation mode; parameter switching is executed, transmission quality is verified, and closed-loop control is formed; according to the invention, the technical transformation from passive shielding to active prediction adaptation is realized, the hysteresis problem in coping with complex electromagnetic interference in the prior art is solved, and the reliability of data transmission is improved.

The invention relates to the field of low-altitude security and protection, and discloses an intelligent identification and interference countering system of a low-altitude aircraft, which comprises a radar detection module, a radio detection module, a data fusion module, a data processing module and an early warning countering module, through cooperative detection of radar and radio, the micro-motion, track and signal fingerprint features of a target are obtained; performing deep analysis and time sequence verification on the fused multi-dimensional features by using a pre-trained unmanned aerial vehicle identification model to realize high-confidence unmanned aerial vehicle identification, model identification and threat level evaluation; and then, according to the dynamically calculated comprehensive threat index, a countering process including dynamic review and effect evaluation is started, countering means can be adaptively selected and switched, and accurate, layered and effective disposal of the suspicious unmanned aerial vehicle is realized. According to the method, the problems of low identification accuracy, high false alarm rate and single and rigid countering measures in the prior art are solved, and the effectiveness of low-altitude security and protection is improved.

The invention discloses an unmanned aerial vehicle signal detection and identification method based on spectrum feature enhancement. The method comprises the following steps: firstly, carrying out time-frequency transformation on a received signal to obtain an original time-frequency graph; performing learning enhancement on the degenerated time-frequency graph by adopting a coding-decoding type deep neural network, and realizing noise suppression and structure recovery by combining pixel reconstruction, structural similarity and a texture perception loss function; and finally, performing target area detection and positioning on the enhanced time-frequency graph, directly outputting a structured result containing a time-frequency range, a category and confidence, and completing conversion from a frequency spectrum to a linkable engineering target. According to the unmanned aerial vehicle signal detection and recognition method based on spectrum feature enhancement, a spectrum feature enhancement mechanism is introduced before traditional spectrum analysis and feature recognition processing, and region-level detection and judgment are executed under the enhanced spectrum constraint condition; reliable discovery, positioning and identification of an unmanned aerial vehicle control link and an image transmission link in a complex electromagnetic environment are realized.

A receiver system has at least one antenna that receives a plurality of signals, including a desired signal, across a wide band of frequencies. At least one tunable filter is in signal communication with the at least one antenna, and filters the plurality of signals to produce a plurality of filtered signals. Gain control circuitry is in signal communication with the at least one tunable filter, and produces a gain adjusted version of the filtered signals. A processing unit processes received signals in a portion of the wide band to extract signal characteristics of at least one undesired signal in the portion of the wide band. The at least one tunable filter is tuned based at least in part on the signal characteristics of the at least one undesired signal to maintain the SNR of the desired signal above a threshold level at the output of the gain control circuitry.

The embodiment of the invention provides an unmanned aerial vehicle defense positioning method and system for a complex and wide area, and relates to the technical field of unmanned aerial vehicle defense positioning, and the method comprises the steps: firstly constructing a multi-source detection node dynamic cooperation network which comprises different detection type nodes, a real-time interaction link, an environment adaptation parameter set and a detection parameter dynamic adjustment rule; detection parameters are updated in real time according to regional environment data, then inter-level signal cross detection is executed based on the multi-source detection node dynamic collaborative network, related data are acquired, a positioning guide parameter set is generated according to the detection data, detection nodes are scheduled to carry out cross-level collaborative positioning confirmation, and an unmanned aerial vehicle cross-level collaborative positioning result is obtained. And finally, generating an unmanned aerial vehicle defense positioning instruction adaptive to the regional environment according to an unmanned aerial vehicle cross-level cooperative positioning result, and feeding back a positioning result to a network to update a detection parameter adjustment rule, thereby effectively coping with a complex and wide region unmanned aerial vehicle threat, and realizing accurate defense positioning.

The invention relates to the technical field of unmanned aerial vehicle countering, in particular to an unmanned aerial vehicle interference method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the detection information of a target airspace, and determining an interference mode corresponding to the target airspace; information granularity of the detection information is identified, a target interference strategy is determined when the interference mode is a feedback interference mode, and the target interference strategy is used for indicating signal interference parameters for interfering each unmanned aerial vehicle in the target airspace; constructing a target interference signal according to the signal interference parameter; and acting the target interference signal on the target airspace. The target interference strategy is determined based on the information granularity of the detection information, the interference precision is improved, and meanwhile the unmanned aerial vehicle interference effect is remarkably improved.

The invention discloses a self-adaptive anti-monitoring communication system, and relates to the technical field of communication security. The system comprises a multi-dimensional fusion sensing module, a dynamic adaptation engine, an encryption communication subsystem and a verification feedback module. The innovation points are that the monitoring situation is accurately researched and judged through multi-source information fusion, a communication parameter and an encryption strategy are dynamically matched based on a research and judgment result, a transmission mechanism combining improved adaptive frequency hopping and dynamic network coding is adopted, and meanwhile, a key dynamic updating and identity bidirectional verification system is constructed. The problems that in the prior art, self-adaptive adjustment is poor in pertinence, encryption and transmission efficiency is unbalanced, and anti-monitoring scene adaptation is single are solved, collaborative optimization of monitoring risk perception, dynamic defense and communication quality is achieved, and the safety and reliability of communication in the complex electromagnetic environment are improved.