1086results about "Communication jamming" patented technology

The invention discloses a precise interference avoidance method and device in a radio system, and relates to the field of signal processing, and the method comprises the steps: constructing a sensing matrix through sensing node data, and capturing a transient interference signal through aperiodic scanning; performing tensor decomposition on the signal data to extract time domain, frequency domain, space domain and modulation domain features, constructing a dual-mode spectrum analysis model, reconstructing an instantaneous spectrogram by using compressed sensing, and predicting an interference mode through LSTM; after the instantaneous spectrogram and the predicted interference graph are fused, threat assessment is carried out through a multi-stage interference classification model; according to the interference category and the threat level, beam forming is optimized, adaptive null is generated, a power density optimization model is constructed, and the transmitting power is dynamically adjusted; an anti-interference frequency hopping sequence is generated based on a chaotic mapping algorithm, and spectrum camouflage and tracking interference resistance are realized. The method has the advantages that accurate identification and dynamic avoidance of interference are realized through multi-dimensional perception, intelligent prediction and adaptive beam forming, and the interference avoidance capability of a wireless system is improved.

The invention belongs to the technical field of electromagnetic confrontation and intelligent decision making, and particularly relates to an electromagnetic situation intelligent confrontation decision making method and system based on deep learning. Threat level evaluation and resource adaptation degree analysis are carried out based on a multi-head self-attention mechanism, and a dynamic electromagnetic confrontation strategy knowledge graph is generated; a game confrontation engine driven by deep reinforcement learning is used for deducing an enemy countering path and a situation evolution result under different interference strategies of our party, interference parameters are optimized through a multi-agent collaborative learning model, weight parameters of a strategy network are updated in real time through online confrontation element learning, and historical confrontation efficiency data and current task constraints are combined to obtain a confrontation result. And dynamically generating a target interference decision sequence and an electromagnetic confrontation efficiency prediction report, and synchronously updating the electromagnetic confrontation strategy library. Therefore, the problems of serious disjunction of deduction results, low real-time antagonism and the like in the prior art are solved.

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 provides a signal shielding method based on deep reinforcement learning, and belongs to the technical field of artificial intelligence and communication crossing. The method comprises the steps that S1, a large number of historical wireless communication signals are acquired to construct a data set to train a signal interference strategy generation model; s2, deploying the signal interference strategy generation model to a signal shielding device; s3, verifying and analyzing the signal shielding instruction to obtain a shielding parameter, collecting a real-time wireless communication signal, and inputting the real-time wireless communication signal and the shielding parameter into a deployed signal interference strategy generation model to obtain a real-time signal interference strategy; and S4, the signal shielding device modulates the real-time interference signal based on the real-time signal interference strategy, and the power amplifier performs power amplification on the real-time interference signal and then transmits the real-time interference signal to the outside through the radio frequency antenna so as to perform signal shielding. The method has the advantages that the accuracy, the real-time performance and the expansibility of signal shielding are greatly improved, and the power consumption of signal shielding is reduced.

The invention relates to an unmanned aerial vehicle detection countering method, which comprises the following steps of: deploying a multi-dimensional sensing network to carry out full-band instantaneous scanning, synchronously acquiring noise characteristics of radio signals, material characteristics of a terahertz wave band and Doppler effect characteristics, mapping to a virtual twinborn body, reconstructing physical parameters, a communication protocol and a behavior mode of a target unmanned aerial vehicle, performing depth comparison by combining a disguise sample library generated by the antagonism generation network, and generating a holographic target file containing a three-dimensional motion vector, an energy feature and a potential threat intention; a target quantum encryption communication link is interfered through a quantum entanglement signal, a controllable plasma cloud cluster is generated, navigation and image transmission signals of the controllable plasma cloud cluster are selectively attenuated, the controllability of the target is judged, and an uncontrollable target is repelled through coded sound waves; and sending a control instruction containing a biological heuristic obstacle avoidance algorithm in stages, and guiding the control instruction to an intelligent recovery cabin. According to the invention, accurate detection, intelligent identification, safe countering and reliable takeover of the unmanned aerial vehicle are realized, and the airspace safety guarantee capability is improved.

The invention discloses an unmanned aerial vehicle soft landing control method based on track prediction and multi-source cooperative decoy, and the method comprises the steps: introducing a communication protocol recognition mechanism in a blocking process of an instruction link of an unmanned aerial vehicle, and achieving the conversion from extensive broadband suppression to protocol precise interference; the problems that in the prior art, power consumption is high, interference on legal communication is large, and the frequency hopping unmanned aerial vehicle resisting effect is insufficient can be effectively solved. In the scheme, signal integrity is guaranteed through monitoring and preprocessing, an unmanned aerial vehicle link protocol is identified through feature extraction and protocol library matching, and then a targeted interference template is generated, so that the interference effect can accurately fall on key positions such as a leader sequence, a CRC field, a subcarrier or a control frame and the like; therefore, synchronization, verification or data transmission can be destroyed under the condition of low power, and accidental damage of broadband noise to services such as co-frequency Wi-Fi and Bluetooth is avoided.

The invention relates to the technical field of unmanned aerial vehicle communication anti-interference, in particular to an unmanned aerial vehicle anti-interference system based on spectrum sensing. According to the invention, a spectrum sensing data acquisition module acquires multi-band frequency spectrum signal data and generates a spectrum interference characteristic spectrum; the interference source positioning module calculates an azimuth angle and a distance of an interference source and generates a spatial distribution data set; the three-dimensional interference field construction module constructs a three-dimensional interference field model containing an interference intensity gradient and a propagation direction in combination with the real-time height and geographic coordinates of the unmanned aerial vehicle; the anti-interference strategy generation module analyzes the vulnerability of a communication link, and dynamically adjusts the frequency band switching priority and the transmitting power allocation weight; the beam forming control module calculates antenna array phase offset and a beam pointing angle, and generates an adaptive beam forming parameter set. The system can improve the anti-interference capability and communication stability of the unmanned aerial vehicle in a complex electromagnetic environment.

The invention discloses an unmanned aerial vehicle detection countering method, system and equipment and a medium, and the method comprises the steps: obtaining a task instruction and sensing signals of a plurality of sensing devices in a monitoring region in real time, carrying out the preprocessing of the task instruction and the sensing signals, and obtaining the standardized modal data; performing feature extraction and high-level semantic extraction on the task instruction and the standardized modal data corresponding to each sensing signal in parallel to obtain a task context parameter and a high-dimensional feature vector of each sensing signal; fusing the high-dimensional feature vectors based on the task context parameters by using a space-time alignment multi-modal fusion algorithm to obtain multi-modal fusion features; using a neural network model to predict and generate a flight trajectory of the unmanned aerial vehicle in a future time period according to the historical trajectory data and the multi-modal fusion features; and performing threat level judgment and behavior anomaly detection based on the task context parameters and the flight trajectory, generating alarm information, and executing a security countering strategy generated based on the alarm information.

The invention discloses an unmanned aerial vehicle self-adaptive anti-interference control system and method, and relates to the technical field of unmanned aerial vehicle communication anti-interference control, and the method comprises the steps: carrying out the fusion of an unmanned aerial vehicle communication signal and an environment interference signal which are collected in real time, generating a time-varying density distribution matrix, carrying out the time-frequency domain feature extraction, and carrying out the time-frequency domain feature extraction; generating an environment interference intensity grade and a spectrum characteristic spectrum; inputting the environmental interference intensity grade and the spectrum characteristic spectrum into a chaos pre-judgment network, calculating a Lyapunov index based on a Lorentz chaos equation set, and generating a pre-judgment result and a strategy triggering instruction when the Lyapunov index exceeds a preset critical threshold value; and inputting a pre-judgment result and a strategy triggering instruction into the constructed meta-learning model, generating an anti-interference suppression strategy through multi-task cooperative reasoning, and performing quantization coding on the anti-interference suppression strategy to convert the anti-interference suppression strategy into a dynamic anti-interference instruction. According to the method, advanced perception and microsecond-level response to time-varying interference are realized through dynamic analysis of the chaos anticipation network.

The invention relates to the technical field of unmanned aerial vehicle countering, in particular to a vehicle-mounted unmanned aerial vehicle detection and countering integrated system and a working method thereof. The method comprises the following steps: continuously scanning a preset airspace and acquiring radio frequency fingerprint characteristics of an unmanned aerial vehicle in real time through a radio detection unit carried by a vehicle-mounted platform; generating a target recognition result based on the radio frequency fingerprint features; when the target identification result determines that illegal unmanned aerial vehicle intrusion exists, generating a corresponding adaptive countering instruction based on the threat level; driving a directional interference unit to transmit a blocking signal to the target unmanned aerial vehicle according to the self-adaptive countering instruction; and synchronously monitoring the state response of the target unmanned aerial vehicle in the countering process, and feeding back the state response to the control unit in real time to dynamically adjust the countering strategy until the threat is relieved. According to the invention, full-process intelligent disposal of the illegal unmanned aerial vehicle is realized, and target detection, accurate identification and dynamic countering can be completed in real time in a vehicle moving state.

The invention discloses a radio system interference processing method and device, and relates to the technical field of radio anti-interference, and the method comprises the following steps: real-time environment monitoring and data acquisition; interference source detection and accurate identification; dynamic prediction and trend analysis of an interference source; generating a multi-dimensional interference avoidance strategy; real-time feedback and intelligent decision optimization are carried out; performing cooperative work and system integration; and finally evaluating and adjusting the performance. The method has the advantages that rapid positioning and accurate avoidance of the radio interference source are achieved through real-time environment monitoring and accurate identification and dynamic prediction of the interference source, compared with a traditional fixed threshold value or energy detection method, dynamic changes such as frequency, bandwidth and power of the interference source can be responded in time, misjudgment and missed judgment are reduced, and the detection accuracy is improved. Blind avoidance or excessive avoidance is avoided, and the accuracy of interference avoidance is improved.

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.

A portable multifunctional AI enabling electronic countermeasure system relates to the technical field of electronic countermeasure, and comprises a host housing, the bottom of the host housing is provided with a tripod, and the surface of the host housing is provided with a plurality of broadband antennas and a reference omnidirectional antenna; a plurality of transceiving front-end assemblies, a receiving front-end assembly and a signal processing unit are arranged in the host shell, the transceiving front-end assemblies are electrically connected with the broadband antennas in a one-to-one correspondence manner, and the reference omnidirectional antenna is electrically connected with the receiving front-end assembly; the plurality of transceiving front-end assemblies and the receiving front-end assembly are electrically connected with the signal processing unit; the signal processing unit is used for processing the radio frequency signals output by the plurality of transceiving front-end assemblies and the receiving front-end assembly by adopting an AI algorithm model to generate corresponding interference signals, and the interference signals are sent to the broadband antenna through the plurality of transceiving front-end assemblies; the method is used for solving the problems of weak interference capability and slow deployment speed in the prior art.

The invention discloses a secure communication method for eavesdropping a D2D relay NOMA network. The communication process has two time slots; in the first time slot, the information source equipment sends an NOMA signal, and the multi-antenna relay equipment selects one antenna to send an interference signal to resist eavesdropping attack; in the second time slot, the relay equipment adopts the digital network coding technology to mix the interference signal of the first time slot and the decoded information source message, then adopts the NOMA technology to construct a novel NOMA signal, and re-selects one antenna to send the NOMA signal, and meanwhile, the information source sends another interference signal to weaken the eavesdropper; the NOMA user equipment and the eavesdropper calculate a required signal-to-noise ratio and a required signal-to-interference-and-noise ratio, and calculate a system outage probability and an eavesdropping probability; according to the invention, the two NOMA users can realize physical layer security communication in the D2D network, and the security of the physical layer is far better than that of a security communication scheme based on non-cooperative interference and a traditional security communication scheme based on cooperative interference.

The invention discloses an adaptive electronic countermeasure interference source dynamic scheduling method based on spectrum sensing, and the method comprises the following steps: S1, collecting broadband spectrum data in an electromagnetic environment in real time through a broadband receiver, and transmitting the broadband spectrum data to a plurality of parallel shallow convolutional neural networks for feature extraction; s2, extracting the frequency characteristic, the power intensity, the signal-to-noise ratio and the current interference source state of the target signal in real time, and constructing a multi-dimensional state space; s3, constructing a multi-head depth Q network model based on the multi-dimensional state space, and outputting a decision instruction through parallel training; s4, combining the decision instruction into an interference decision instruction and sending the interference decision instruction to an interference source in real time; s5, the interference source executes the interference task and feeds back the interference effect; and S6, dynamically adjusting network parameters according to interference effect feedback. The method improves the interference decision precision and response efficiency, and is suitable for electronic countermeasure tasks in a complex electromagnetic environment.

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 multi-frequency omnidirectional unmanned aerial vehicle active defense system and method, and the method comprises the steps: obtaining defense region parameters, and constructing a navigation signal generation task library based on the coverage requirements of GPSL1 and Beidou B1 / B2 / B3 frequency bands; resonance interference points are determined through carrier locking resonance analysis, Doppler frequency shift traps are designed, frequency shift fragility features are extracted in combination with C / A code recombination processing, and a targeted interference enhancement domain is constructed; the method comprises the following steps: respectively carrying out constellation topology reconstruction on a GPS (Global Positioning System) and a Beidou system, generating false orbit parameters through ephemeris data tampering, and forming a mixed defense signal domain by utilizing carrier phase interleaving processing; analyzing signal power to determine strong and weak interference areas, and setting graded attenuation parameters to construct a graded signal attenuation field; the attenuation field and the interference enhancement domain are fused to generate dynamic simulation parameters, false orbit parameters are adjusted in real time to generate a coordinate input mode, a high-dynamic navigation signal is reconstructed, a satellite working mode is selected, an L1 / B1 / B2 / B3 multi-band radio frequency output instruction is finally generated, and all-dimensional intelligent deception jamming of the unmanned aerial vehicle navigation system is achieved.

The invention discloses a low-slow small unmanned aerial vehicle countering method and system based on multi-physics field signal interference, and belongs to the technical field of unmanned aerial vehicle countering. Comprising the following steps: modulation of sound wave resonance attack, laser injection attack and electromagnetic interference attack is carried out on sensing devices of multiple target unmanned aerial vehicles, and sensitive parameters of the sensing devices of different target unmanned aerial vehicles for different attack types are determined; establishing different types of unmanned aerial vehicle databases according to the obtained sensitive parameters; obtaining sensitive parameters corresponding to the target unmanned aerial vehicle model by adopting a table look-up method; high-power counter equipment is assembled; and implementing multi-physical field countering on the target unmanned aerial vehicle by adopting a periodic emission method. According to the method, the limitation of countering the low-slow small unmanned aerial vehicle by using a single method (sound wave resonance, electromagnetic interference and laser injection) is overcome, and the multi-physical field signal interference countering of the low-slow small unmanned aerial vehicle of a specified model in a specified airspace is realized.

The invention discloses an unmanned aerial vehicle instruction link blocking interference method and device based on communication protocol identification, which can effectively solve the problems of high power consumption, large interference on legal communication and insufficient anti-frequency hopping unmanned aerial vehicle effect in the prior art by introducing a communication protocol identification mechanism in the unmanned aerial vehicle instruction link blocking process. Firstly, signal integrity is guaranteed through monitoring and preprocessing, then an unmanned aerial vehicle link protocol is identified through feature extraction and protocol library matching, and then a targeted interference template is generated, so that the interference effect can accurately fall on key positions such as a leader sequence, a CRC field, a subcarrier or a control frame and the like; and synchronization, verification or data transmission can be destroyed under a low-power condition, so that accidental damage of broadband noise to same-frequency Wi-Fi and Bluetooth services is avoided. Meanwhile, through a frequency hopping prediction model and a scheduling mechanism, the interference signal can follow the frequency hopping switching of the unmanned aerial vehicle in real time.

The invention belongs to the field of unmanned surface vessels, and discloses an unmanned cluster defense control platform and method based on a mooring aerial vehicle, and the platform comprises an aerial vehicle and unmanned vessel flexible cooperative control module, and an intelligent decision and tactical optimization module. The aerial carrier and unmanned ship flexible cooperative control module is used for constructing a closed command and control system independent of a wireless network on the basis of a mooring type coupling control technology, and the unmanned ship-unmanned aerial vehicle rigid connection requirement in a marine high dynamic environment is met; and the intelligent decision and tactical optimization module is used for constructing a virtual-real mapping marine combat experiment field based on a digital twin confrontation deduction technology, restoring a complex marine environment and a confrontation scene through digital modeling, and forming a closed-loop capability improvement mode.

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 relates to a differential privacy position protection method based on a dynamic attenuation noise field, and the method comprises the steps: obtaining a plurality of candidate regions based on a user track, recognizing different sensitive regions from the plurality of candidate regions based on the behavior characteristics of a user, and calculating the dynamic sensitivity of each sensitive region; wherein the behavior characteristics of the user comprise a stay identifier and access time of the user in the candidate area; constructing a three-dimensional dynamic noise model for generating a dynamically attenuated space-time noise field; the method comprises the following steps: acquiring a position coordinate of a target position in a sensitive area and a corresponding timestamp, generating a corresponding noise amplitude by adopting a three-dimensional dynamic noise model, generating a two-dimensional position offset based on the noise amplitude by adopting a Laplace mechanism, and disturbing the position coordinate of the target position based on the two-dimensional position offset. According to the scheme, adaptive adjustment of the noise amplitude can be realized, and collaborative optimization of strong protection of a high-sensitivity area and high precision of a low-sensitivity area is realized.

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 refers to a counter countermeasures device, for use in an anti-aircraft combat. In one embodiment the CCM device together with an anti-aircraft weapon system forms an air defense system. The counter countermeasures device is configured for generating and emitting electromagnetic radiation of appropriate wavelengths and is capable of operating in spoof and jam mode and switching between both modes. The mode of operation is dependent on the selection of the output power of the EM source unit and the distance to the target. The selection of the output power may be done with a mechanical cover or with an electronic solution, decreasing driving current of the EM sources. With the CCM device the anti-aircraft missile launch warning and detection system installed on aircrafts are deceived and the countermeasures are released. With the use of the CCM device the efficiency of the anti-aircraft combat is highly improved, i.e. the probability of the target hit is highly improved.

The invention relates to the technical field of microwave magnetic field measurement, and discloses a microwave magnetic field measurement method and system, and the method comprises the steps: installing a plurality of magnetic field shielding units for transmitting a magnetic field shielding region at the roof of each floor; mapping the three-dimensional space magnetic field data into two-dimensional plane magnetic field data according to the floor height; executing a magnetic field change difference distinguishing strategy, and collecting and calculating magnetic field data variation of plane position points in the examination room in real time; setting an external disturbance critical distance to form an external disturbance critical edge surrounding the examination room; executing an external interference buffer area shielding strategy, dividing an external interference critical edge according to a magnetic field shielding area, defining an external interference buffer area, and calculating an external interference risk value based on the magnetic field data variable quantity and the personnel movement track; and executing a secondary shielding collaborative coverage strategy, adjusting the shielding strength of the unit I according to the external interference risk value of the external interference buffer area, and adjusting the emission directions of the unit I and the unit II to shield the external interference buffer area, thereby improving the stability of the internal electromagnetic environment of the examination room.

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 belongs to the technical field of communication interference cancellation, and discloses an electromagnetic interference real-time monitoring and cancellation method based on a multi-antenna technology, which can realize comprehensive perception of an electromagnetic environment from a spatial dimension by utilizing the multi-antenna technology and through cooperative work of a main antenna and an auxiliary antenna. And an accurate basis is provided for timely coping with electromagnetic interference. Besides, an interference identification model is further constructed and is suitable for monitoring various different types of electromagnetic interferences, interference cancellation parameters and strategies are dynamically adjusted according to the interference types, high adaptability and flexibility are achieved, a cancellation algorithm is matched for the interference types, signals with the same amplitude and opposite phases as interference signals are generated, and the interference cancellation accuracy is improved. Therefore, the interference is quickly and effectively counteracted, and the normal operation of a satellite navigation communication system is ensured. In addition, according to the method disclosed by the invention, the anti-interference capability of the satellite navigation communication system in a complex electromagnetic environment can be remarkably enhanced, and the anti-interference tolerance is greatly improved.

The invention relates to the field of safety detection, and discloses a portable secret-related environment anti-eavesdropping and anti-photo stealing equipment detection device, which comprises a lower shell, an upper shell is mounted on one side of the lower shell, a thermal imaging scanning module is mounted in the middle of the upper shell, wireless detection modules are symmetrically mounted on one side of the upper shell, and the wireless detection modules are mounted on the other side of the upper shell. An endoscopic detection module, a nonlinear node detection module and a vibration spectrum analysis module are sequentially installed on the other side of the upper shell, a lens detection module is installed on the outer wall of the upper shell, handles are installed on the two sides of the lower shell, and a power module is installed at the bottom of the lower shell. The detection data of each sensor is collected in real time through the display control module, the weight of each mode is dynamically adjusted based on the environment change, and when it is detected that the false alarm rate of the wireless detection module is increased due to strong electromagnetic noise, the weight ratio is automatically reduced; and the weight of the nonlinear node detection module or the thermal imaging scanning module with higher anti-interference capability is synchronously improved.

The invention discloses a multi-mode unmanned aerial vehicle cooperative interference control method and device and a medium, and relates to the technical field of unmanned aerial vehicle interference, and the method comprises the steps: dynamically selecting an interference waveform parameter through employing an interference efficiency value of an unmanned aerial vehicle, obtaining a multi-mode interference instruction set, the method comprises the following steps: dynamically adjusting a waveform emission time sequence of an unmanned aerial vehicle by adopting a clock calibration protocol based on a consistency algorithm to form a composite interference signal, electing a coordination node according to a real-time interference efficiency value of the unmanned aerial vehicle, fusing radio frequency signal data and a multi-mode interference instruction set into the elected coordination node, and obtaining an interference scheme. And optimizing the transmitting power and frequency band selection of each unmanned aerial vehicle by adopting a game algorithm, generating an optimal interference parameter of each unmanned aerial vehicle, and controlling the array antennas of all unmanned aerial vehicles to radiate radio frequency interference signals to the interference target according to the composite interference signal, the optimal interference parameter and the interference scheme of each unmanned aerial vehicle. According to the unmanned aerial vehicle cooperative interference method, the cooperative interference capability, the intelligent level and the stability of multiple unmanned aerial vehicles are improved.

Implementations of disclosed systems and methods are capable of changing the frequency or other waveform characteristics dynamically based on receiving feedback about the effect of an electromagnetic pulse radiation on a target electronic device. Various implementations can be configured to emit electromagnetic pulses at a single radio frequency or a plurality of radio frequencies. For example, the frequency of the carrier electromagnetic radiation in a single pulse can change during the pulse interval. As another example, a single electromagnetic pulse can comprise a frequency comb with two or more frequencies.