1466results about "Communication jamming" patented technology

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

The invention relates to the technical field of wireless signal detection, and discloses a wireless anti-interference signal detection method, device and equipment and a storage medium, and the method comprises the steps: collecting a standardized interference feature vector through a multi-scene wireless signal receiving device; performing interference feature enhancement processing on the standardized interference feature vector to obtain an interference feature sample set; constructing a dual-array cooperative detection system comprising a passive detection array and an active detection array, and performing real-time monitoring to obtain dual-path interference signal monitoring data; performing spatial domain and time-frequency domain dual feature extraction and fusion processing on the dual-path interference signal monitoring data to obtain a comprehensive interference feature; the receiver filtering parameter matrix and the detection threshold vector of the double-array cooperative detection system are dynamically adjusted according to the comprehensive interference characteristics, the method can adapt to changes of different interference environments in a self-adaptive mode, comprehensive coverage of communication spectrums is achieved, and the wireless anti-interference monitoring range and the spectrum sensing capacity are greatly expanded.

The invention discloses an unmanned aerial vehicle monitoring and countering integrated system, and relates to the technical field of unmanned aerial vehicle monitoring, and the system comprises a sensing module which is used for carrying out the monitoring of an environment through a plurality of sensors, and obtaining original data; the fusion module is used for processing the original data by adopting a data fusion algorithm to obtain target information; the identification module is used for outputting the type and behavior mode of the unmanned aerial vehicle; the analysis module is used for evaluating the type and behavior mode of the unmanned aerial vehicle by adopting a dynamic threat evaluation method and generating early warning information; the strategy module is used for formulating a dynamic countering strategy; the execution module is used for implementing corresponding countering measures and monitoring the countering effect in real time; and the recording module is used for recording all results in the whole process. Through the technical means of multi-sensor cooperative monitoring, data fusion processing, classification identification, dynamic threat assessment, game decision making, intelligent countering and the like, omnibearing perception, accurate identification, intelligent assessment and efficient disposal of the unmanned aerial vehicle are realized.

The invention provides a control method for optimizing operation of high-power short-pulse microwave equipment, and aims to improve the accuracy of microwave interference signals, the energy utilization efficiency and the system adaptability. The method comprises the following steps: firstly, acquiring position information, motion trail data, electromagnetic scattering characteristics and environmental electromagnetic parameters of a target object; and then, according to the target position prediction data, the electromagnetic scattering characteristics and the environmental electromagnetic parameters, generating a microwave pulse waveform control instruction. And controlling the phased-array antenna array to generate a directional microwave beam based on the control instruction and the target position prediction data. And collecting real-time response data of the target, dynamically updating the target motion trend prediction model according to the real-time response data, and recalculating microwave pulse signal parameters. And finally, according to the updated signal parameters and the target position prediction data, adjusting the transmitting power, the working time sequence and the beam direction of the phased-array antenna array so as to maintain the optimal interference effect, reduce unnecessary energy consumption and improve the stability and adaptability of the system.

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 discloses a portable unmanned aerial vehicle sound wave countering system and method, and relates to the field of radio countermeasure and sound wave interference, and the system comprises a multi-source sensing module which is used for obtaining a multi-modal feature data set of a target unmanned aerial vehicle; the signal processing module is used for carrying out space-time correlation analysis on the multi-modal characteristic data set and generating a threat evaluation parameter set containing an unmanned aerial vehicle type identification result, communication protocol analysis characteristics and navigation mode discrimination indexes; the countering strategy generation module is used for generating a sound wave modulation parameter set, a radio frequency interference waveform sequence and a positioning deception signal template; the cooperative interference module is used for generating a multiband joint countering instruction set according to the improved phase cooperative control strategy; and the execution monitoring module is used for executing the multiband joint countering instruction set in the preset airspace range. According to the portable unmanned aerial vehicle sound wave countering system and method provided by the invention, the multi-level countering capability for different threat levels is improved.

The invention provides an unmanned aerial vehicle full-band countering method and system based on acousto-optic-electric composite detection. According to the invention, through synchronous cooperative detection of sound wave sensing, optical imaging and electromagnetic spectrum analysis, a composite detection signal is generated; based on the relevance between the acoustic characteristic frequency band and the electromagnetic control frequency band, extracting the working mode characteristics of the unmanned aerial vehicle and generating dynamic interference parameters; generating a synchronous interference instruction according to the time domain modulation characteristic of the dynamic interference parameter; in combination with abnormal noise distribution characteristics captured by the acoustic module and flight path offset identified by the optical module, power distribution and frequency band coverage of the interference instruction are corrected in real time, and optimized interference parameters are generated; and finally, a dynamic interference map is generated through overlapping frequency spectrum fusion of the dynamic interference parameters and the optimized interference parameters, accurate cooperative suppression is realized, full-band real-time accurate suppression of navigation, communication and power control signals of the target unmanned aerial vehicle is realized, and the countering efficiency in a complex scene is remarkably improved.

The invention provides an unmanned aerial vehicle group wide area suppression method and system based on multi-band frequency hopping interference. The method comprises the following steps: analyzing a frequency hopping rule and an encryption feature of a communication link of a target unmanned aerial vehicle group, and constructing a protocol feature library containing a multi-band frequency hopping sequence; deploying a directional focusing antenna array, and generating a directional interference energy signal covering a multi-band frequency hopping channel of the hotspot area of the unmanned aerial vehicle group; based on the encryption features and the frequency hopping sequence in the protocol feature library, performing parameter setting and subcarrier modulation adaptation on a preset interference signal, generating an adjustable interference signal, and converting the adjustable interference signal into an interference injection signal; extracting a time distribution rule of the frequency hopping sequence, dynamically and cooperatively adjusting an injection frequency band of interference energy and a signal, and generating a frequency band coordination strategy; and performing multi-band dynamic distribution on the interference energy and the signal to generate a wide-area suppression signal. According to the technical scheme provided by the invention, the blocking efficiency of unmanned aerial vehicle group cooperative control in a complex electromagnetic environment is improved.

The invention discloses an unmanned aerial vehicle radio communication frequency band countering method for automatic frequency identification and frequency writing, and relates to the technical field of unmanned aerial vehicle interference, and the method comprises a frequency band identification module which is used for scanning a 300MHz-6GHz frequency band in real time and identifying an enemy unmanned aerial vehicle communication signal; the signal analysis module is connected with the frequency band identification module, comprises a digital signal processor and an FPGA (Field Programmable Gate Array), and is used for analyzing signal modulation types and spectrum characteristics; the automatic frequency writing module is used for adjusting an interference frequency band through a direct digital frequency synthesis technology according to an analysis result; the multi-frequency-band interference transmitter supports synchronous interference in frequency bands of 1.2 GHz, 2.4 GHz, 5.2 GHz and 5.8 GHz; the intelligent control terminal integrates an adaptive interference algorithm, and the response time is less than or equal to 1 second. According to the unmanned aerial vehicle radio communication frequency band countering method capable of automatically identifying and writing the frequency, the radio communication frequency band used by the enemy unmanned aerial vehicle is automatically identified, and the corresponding frequency band is written in real time for accurate interference, so that the interference effect of an interference system facing the enemy unmanned aerial vehicle 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 technology disclosed teaches distributed networks and methods for cloud processing for global navigation satellite system (GNSS) interference data from a plurality of GNSS receivers to alert aircraft personnel to GNSS spoofing of aircraft guidance systems. The technology disclosed includes receiving at a cloud-based server, GNSS interference data from the plurality of GNSS receivers, analyzing the GNSS interference data upon receipt, identifying an interference event from the analyzed GNSS interference data, and in response to an identified interference event, the cloud-based server providing an alert to EFB tablet devices onboard the aircraft thereby causing notification of aircraft personnel of a potential spoofing event.

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 provides an air-ground cooperative unmanned aerial vehicle countering signal adaptive generation method and system, and relates to the technical field of unmanned aerial vehicle countering, and the method comprises the steps: obtaining a target unmanned aerial vehicle communication signal, and extracting a feature analysis protocol; a secondary coding structure is adopted, and parameters are optimized by using a genetic algorithm with a composite fitness function; selecting and adjusting an interference waveform template based on the protocol type; executing air-ground collaborative resource optimization allocation, and dynamically allocating power and computing resources by adopting a reinforcement learning algorithm; and controlling the air-ground countering equipment to generate an interference signal. According to the method, the interference effect can be improved, the energy consumption is reduced, the detection resistance is enhanced, and intelligent dynamic allocation of countering resources is realized.

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 relates to the technical field of information engineering, in particular to an electronic communication anti-interference system for information engineering, which comprises the following modules: a signal acquisition module, an interference monitoring module, an interference identification module, an anti-interference strategy generation module, an anti-interference execution module, a feedback optimization module and a data storage and management module. Through cooperative work of the signal acquisition module and the interference monitoring module, the interference condition in a communication signal can be monitored in real time, and the interference type and intensity are accurately identified through the interference identification module, so that an accurate basis is provided for subsequent anti-interference processing; the anti-interference strategy generation module can dynamically generate a proper anti-interference strategy according to the specific situation of interference, the limitation of a traditional fixed strategy is avoided, and the adaptability of the system to a complex interference environment is improved.

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 control, and particularly discloses a wrist-worn unmanned aerial vehicle countering control method and system, through cooperative work of a radar sensor, an infrared sensor, an optical sensor and a GPS sensor, flight state data of an unmanned aerial vehicle can be obtained, and state prediction and target tracking are performed on the unmanned aerial vehicle by using a particle filtering algorithm; a deviation coefficient between an actual flight trajectory and a preset trajectory is calculated through a dynamic time warping algorithm, and the system can judge whether the unmanned aerial vehicle deviates from the trajectory and adjust an interference strategy in time; the frequency, the intensity and the transmitting direction of the interference signal are dynamically optimized according to the flight state of the unmanned aerial vehicle so as to form an efficient countering strategy; and by comprehensively evaluating the countering response time and the success rate, a countering precision coefficient is calculated, so that data support is provided for optimization of a subsequent countering strategy.

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 an unmanned aerial vehicle communication link accurate interference device and method, and the device comprises a ground control station which is used for transmitting a first signal to an unmanned aerial vehicle and receiving a second signal transmitted by the unmanned aerial vehicle; and the unmanned aerial vehicle interference station is used for receiving and processing the first signal sent by the ground control station and the second signal sent by the unmanned aerial vehicle, and sending a third signal to the unmanned aerial vehicle. According to the invention, the characteristics of the flight control command signal emitted by the ground control station are determined by analyzing the downlink communication link, the spatial orientation characteristics of the unmanned aerial vehicle are determined by analyzing the uplink communication link, and finally the third signal, namely the interference signal, which can effectively interfere with the flight control command signal is emitted to the unmanned aerial vehicle. And accurate interference on the communication link of the unmanned aerial vehicle is realized.

The invention discloses a communication interference signal open set identification method, system and device and a medium. The method comprises the following steps: carrying out short-time Fourier transform on a communication interference signal to obtain a time-frequency graph; performing multi-scale feature representation on the time-frequency diagram by using a Res2Net-based multi-scale feature extraction network; constructing a projection layer to carry out hyperspherical embedding on the multi-scale features, carrying out modeling by utilizing vMF distribution, and designing a compactness and dispersity loss function; multi-scale features after modeling are input into an OpenMax layer for open set recognition, output of a projection layer is used as an activation vector to improve OpenMax, Euclidean distance is replaced with cosine distance, input sample unknown is calculated based on an extreme value theory, category probability distribution is adjusted, and some abnormal samples can be classified into unknown categories; the Res2Net more flexibly captures multi-scale information than the convolutional network; the separation of inter-class features and the compactness of intra-class features are effectively enhanced through the hyperspherical vMF distribution; the OpenMax layer endows the network with unknown category identification capability; the method has better performance and wider universality; the system, the equipment and the medium are used for realizing the communication interference signal open set identification method.

The invention discloses an unmanned aerial vehicle individual countering method and system based on radio frequency identification and dynamic interference, and belongs to the technical field of unmanned aerial vehicles, and the method comprises the steps: collecting wide-band IQ data, extracting hidden features such as instantaneous frequency offset fluctuation and envelope entropy abnormity, and achieving high-dimensional embedded expression through a variational auto-encoder. Structured recognition is carried out on signals in combination with a graph neural network, the discrimination capability of frequency hopping, spread spectrum or Wi-Fi / LTE simulation signals is remarkably improved, a dynamic interference strategy is finally generated according to a recognition result, accurate recognition and intelligent suppression of illegal unmanned aerial vehicle communication are achieved, and the method is suitable for popularization and application. The technical defect that an existing system is insufficient in recognition robustness and countering effectiveness in a complex environment is effectively overcome.

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.

The utility model discloses a radio device and unmanned aerial vehicle interference equipment. The radio device comprises a housing, a signal isolation plate, a control unit and a power amplifier unit. The signal isolation plate divides the interior of the shell into a first cavity and a second cavity which are in mutual signal shielding, the control unit is arranged in the first cavity, the power amplifier unit is electrically connected with the control unit, and the power amplifier unit is arranged in the second cavity. According to the utility model, the situation that the radio device cannot work normally due to mutual interference of the control unit and the power amplifier unit can be avoided.

A communication method, a first device, and a second device are provided. The method includes: receiving, by a first device, a wireless signal; and obtaining, by the first device, data reported by a second device by removing an interference signal from the wireless signal according to first information, where the first information is associated with the interference signal.

The present invention discloses a device-to-device covert communication system assisted by a drone and an intelligent reflecting surface, establishes a drone and intelligent reflecting surface UIRS joint-assisted D2D covert communication model, including communication links between various entities, calculates the average minimum error detection probability and the maximum communication rate; the sender sends a covert signal to the UIRS, and the UIRS forwards it to the receiver. Among them, the UIRS changes the angles of the corresponding incident covert signal and the reflected covert signal through its constituent elements; the spectrum-sharing cellular user sends a cellular signal to the base station, and at the same time the base station sends an interference signal, introducing an uncertainty factor at the receiver of the eavesdropper Willie to achieve the covertness of the UIRS joint-assisted D2D communication link; the eavesdropper Willie monitors whether the UIRS joint-assisted D2D communication link transmits a covert signal; the covertness is measured by the average minimum error detection probability; under the multiple constraints of satisfying the average minimum error detection probability, the cellular communication link outage probability, the transmission power, and the transmission power of the interference signal, etc., the maximum communication rate of the UIRS joint-assisted D2D communication link is obtained, and the communication rate of the system is effectively improved under the joint assistance of the drone and the intelligent reflecting surface UIRS.