418 results about "Channel gain" patented technology

The invention discloses an RIS-assisted unmanned aerial vehicle network-based communication and sensing integrated system and method. The system comprises a UAV, an MBS module, a user communication association decoupling module and an RIS module. The RIS intelligent reflecting surface and the unmanned aerial vehicle network are applied to the communication and sensing integrated system. In consideration of different service requirements in the system, the process is divided into a communication part and a sensing part. And a deep reinforcement learning algorithm is designed according to the requirements of the system to control the UAV flight path, base station beam forming, user association allocation and RIS phase shift in the system, so that the communication and sensing performance in the communication and sensing integrated system is optimal. According to the invention, while all functions of an original communication and inductance integrated system are reserved, RIS and unmanned aerial vehicle networks are introduced to assist the system, and an alternate iterative optimization method and a deep reinforcement learning algorithm are used to realize scheduling and decision-making of each resource. Compared with the prior art, additional channel gain is provided, and the distribution efficiency of communication sensing resources is improved.

The invention relates to the technical field of model lightweight processing, and discloses a digital twin model lightweight processing method, and the method comprises the steps: obtaining a digital twin model, constructing a multi-dimensional twin model parameter importance evaluation objective function, and evaluating the digital twin model parameters obtained through training solving; carrying out lightweight processing on the digital twinborn model parameters based on an importance evaluation result to obtain a lightweight digital twinborn model; and carrying out fine tuning on the lightweight digital twinborn model to obtain the lightweight digital twinborn model after fine tuning. Gradient evaluation and channel gain evaluation are carried out according to the gradient of the digital twin model parameters in the training process and the final training result, the digital twin model parameters with high contribution degree to the output result are selected, redundant parameters are filtered, lightweight processing of the digital twin model is achieved, and the training efficiency is improved. And performing fine tuning processing to retain the performance of the original model to obtain the digital twinborn model which reduces the consumption of computing resources and the storage cost.

The present disclosure provides a wireless receiver having a Delay Doppler channel detector. The Delay Doppler channel detector includes a Delay Dopper domain channel estimator and a detector and demodulator. The Delay Doppler domain channel estimator is configured for estimating a channel gain, a delay, and a Doppler frequency shift of a path of a channel of data received via the channel. The detector and demodulator is configured for extracting a symbol sequence of the received data based on the estimated channel gain, the estimated delay, and the estimated Doppler frequency shift of the path of the channel.

The invention belongs to the technical field of optical wireless communication and deep reinforcement learning, and discloses a water-air cross-medium laser communication beam alignment method based on deep reinforcement learning, which comprises the following steps of: analyzing four parts of emission, propagation loss, cross-interface and receiving, and establishing a mathematical model of a water-air cross-medium laser channel; establishing a deep reinforcement learning model based on the water-air cross-medium laser channel model in S1; based on a deep reinforcement learning model, training an intelligent agent to achieve a beam alignment scheme with the strongest channel gain; and based on the beam alignment scheme with the strongest channel gain, completing the test of the intelligent agent. According to the water-air cross-medium laser communication beam alignment method based on deep reinforcement learning, channel change caused by factors such as sea waves is predicted through reinforcement learning, beam alignment is realized to maintain channel gain, and the problem of stability of a wireless optical channel in a special cross-medium communication environment is solved.

The invention discloses a method for estimating the safety communication rate of a near-earth satellite by using an SDFS cooperating with a GLRT. The method comprises the following steps: constructing a communication system model between the near-earth satellite and a ground terminal; analyzing the signal and channel characteristics, and obtaining the distance between the nodes, the channel gain and the received signal distribution; under the condition that the transmitting power of each monitoring party is unknown, estimating the transmitting power by adopting generalized likelihood ratio test, and independently executing the generalized likelihood ratio test based on the observation data of each monitoring party; the superior manager performs joint judgment based on a soft decision fusion scheme in combination with the generalized likelihood ratio test result of each monitoring party and a joint threshold so as to estimate the detection error probability of the monitoring party; a joint optimization strategy of the transmitting power and the number of continuous transmission time slots is constructed, and the total throughput of the system is maximized under the condition that the cooperative concealment constraint is met; according to the invention, an innovative solution is provided for reliable communication of the near-earth satellite in a complex monitoring environment.

The invention discloses an intelligent adaptive metasurface and an electromagnetic regulation and control method. The metasurface unit is of a three-layer composite structure and comprises a programmable phase shifter, a slot antenna and a coupling circuit, and real-time sensing of amplitude and phase information of incident electromagnetic waves and 0-360-degree continuous regulation and control of reflection phases are achieved. The array is composed of 6 * 6 independent control units and supports + / -60-degree beam scanning and high-precision direction of arrival estimation (error lt; 1 degree). Channel state information is obtained through a coupling link, a coding matrix is dynamically optimized in combination with a closed-loop feedback algorithm, and the communication quality is improved in a complex environment. Experiments show that the metasurface respectively brings 16dB, 19dB and 8dB channel gains in ideal, non-line-of-sight and real scenes, the problems that a traditional metasurface is poor in environmental adaptability and insufficient in phase precision are solved, and an innovative hardware platform is provided for 6G communication, an intelligent reflecting surface and a radar sensing system.

The invention discloses a low-orbit constellation multi-beam mode time-varying beam hopping scheduling method, which comprises the following steps that: firstly, a user feeds back user state information including a user rate demand, a user terminal beam quantity, each beam channel gain, a user position and the like to a satellite through a control channel; and the satellite determines a beam mode, the number of accessed users, scheduling of beams in each time slot and a power distribution strategy based on the user state information. The satellite generates beams according to the selected mode and sends data, beam space-time resource allocation can be carried out according to non-uniform user requirements, changing user requirements are adapted, and the satellite network capacity is improved.

The invention discloses an RIS-assisted MISO system physical layer security optimization method. A downlink MISO communication system comprising a base station, an IRS, a single user and a single eavesdropper is constructed; defining each channel gain coefficient and channel model of the MISO system; defining a reflection coefficient matrix of the IRS, and solving received signals of a user and an eavesdropper; defining signal-to-noise ratios of the user and the eavesdropper, and respectively solving channel capacities of the user and the eavesdropper; defining the safety rate of the system, and constructing an optimization problem; and finally, a base station beam forming vector and an IRS phase shift matrix are jointly optimized to maximize the system safety rate. According to the invention, the physical layer security of the wireless communication system is effectively improved, and the blank of the traditional IRS physical layer security technology in the aspect of processing full-duplex eavesdroppers is filled.

The invention discloses a wireless communication resource allocation method based on dynamic spectrum sensing. The method comprises the following steps: acquiring equipment node data and network environment parameters, and performing preprocessing to generate feature data; based on the preprocessed feature data and the time window, generating a spatio-temporal feature map by adopting dynamic spatio-temporal feature coding so as to capture spatio-temporal association between the devices; a hyperedge set is constructed through a hyperedge dynamic generation mechanism by using equipment position information, and network topology changes are reflected; based on the hyperedge set, the transmitting power and the channel gain, a high-order interference tensor is constructed and decomposed, and the interference relation is accurately quantified; according to the interference tensor, the number of resource blocks and the service quality requirement, generating an optimal resource allocation strategy by adopting spectral clustering and an optimization algorithm; according to the method, through the space-time attention mechanism and the high-order interference tensor modeling, the dynamic adaptability and optimization performance of resource allocation can be improved, and an efficient solution is provided for a modern wireless communication network.

The application discloses an online error calibration method for a hemispherical resonator gyro based on frequency superposition, which solves the problem that the traditional error calibration method for a hemispherical resonator gyro cannot realize online calibration of gain error, bias angle error and phase error in the same working mode. The application utilizes high-frequency cosine and sine reference signals to demodulate two-channel detection signals and extract high-frequency components in the detection signals. Subsequently, an associated model is established by using the high-frequency cosine and sine given control signals and the demodulated signals to realize online identification of the gyro error, and the identification result is applied to online calibration of the channel gain error, bias angle error and phase error, thereby enhancing the anti-interference ability of the hemispherical resonator gyro under variable temperature conditions. The application is mainly used for simultaneous online calibration of the channel gain error, bias angle error and phase error.

The invention relates to a wireless keyboard pairing switching method and device based on a polar code, and the method comprises the steps: carrying out the channel estimation of each device connected with a wireless keyboard, and obtaining the channel gain of each device; based on the channel gain of each device, performing power distribution on each device in a preset power spectrum pair through non-orthogonal multiple access; coding the sending signal of each device through a polar code, and carrying out joint decoding on the received signals of the plurality of devices; in response to an equipment switching request of a user, separating equipment before and after switching through a constellation rotating method; the beam of each device is optimized based on the real-time channel estimation information. According to the method, dynamic channel distribution, polarization code and rotating constellation technologies are combined, interference and time delay of the wireless keyboard in switching are reduced, and reliability is improved.

The invention discloses a node excitation method based on a cooperative NOMA-MEC secure unloading system. The node excitation method comprises the following steps: collecting idle resource states and channel gain information, distributing calculation tasks, and measuring energy consumption of user nodes and cooperative nodes; a Stackelberg game model is adopted to describe a resource interaction relationship between the user nodes and the cooperative nodes, and according to game actions and energy consumption of two game parties, an optimal unloading strategy is made for the user nodes, and an optimal pricing strategy is made for the cooperative nodes, so that Stackelberg balance is achieved; according to the optimal unloading strategy and the optimal pricing strategy, the calculation task is unloaded to an MEC server in a cooperative NOMA mode, calculation of the unloading task is completed, and a result is returned. According to the method, the optimal resource allocation of the user nodes, the selection of the cooperative nodes and the optimal resource allocation are realized at the same time, the excitation and selection problems of a plurality of selfish cooperative nodes in a cooperative NOMA-MEC security unloading system are solved, and the method accords with a real application scene.

The invention relates to a super-surface array multi-user interference suppression method based on deep learning, and the method comprises the steps: obtaining the initial channel observation information of an environment where a super-surface array is located, and obtaining a complex channel gain matrix between a transmitting end and a plurality of receiving ends; based on initial channel observation information and a historical time sequence channel sample, inputting the initial channel observation information and the historical time sequence channel sample into an interference mapping network constructed based on a Transform structure, and predicting to obtain an inter-user interference distribution diagram at the next moment; according to the inter-user interference distribution diagram and the reflection coefficients of the metasurface units, a joint optimization objective function construction strategy network is constructed, a current channel state vector serves as input, the reflection phase of each metasurface unit is output, and a reflection coefficient moment used for minimizing an objective function is generated; feeding back indexes according to the system performance after the deployment of the reflection coefficient matrix; and dynamically configuring the metasurface unit based on the reflection coefficient matrix. According to the invention, the multi-user interference suppression effect of the metasurface array can be improved.

The invention relates to the field of communication, in particular to a method for delivering cache content of a mobile edge computing network for energy consumption optimization. For a cache-based MEC cellular network, the method reasonably utilizes user movement information, and calculates corresponding path fading, channel gain and shadow fading by utilizing future position information of a user. Determining the minimum transmission power by using the calculated channel gain and path fading, then setting a time slot, carrying out content delivery decision on data packets requested by different users, and allocating wireless communication resources; and with minimization of the total emission energy consumption of the base station as a target, modeling a cache content delivery problem into a mixed integer programming problem to carry out optimization solution so as to obtain an energy consumption minimization decision for the base station to deliver all data packets.

Disclosed are methods and apparatuses for user equipment (UE) selecting and scheduling in an intelligent wireless system. An embodiment of the subject application provides a base station (BS). The BS includes a processor and a wireless transceiver coupled to the processor. The processor is configured to: obtain a number N and a first channel gain threshold, wherein the number N and the first channel gain threshold are determined based at least in part on uplink channel state information between the BS and multiple UEs; transmit, with the wireless transceiver, a scheduling indicator report configuration to each of the multiple UEs; receive, with the wireless transceiver, multiple scheduling indicators; and select the number N of UEs for participating in local model training according to the multiple scheduling indicators.

The invention relates to the technical field of mobile edge computing, and discloses a mobile edge computing system, an optimization model modeling method thereof and an optimization method thereof, and the method comprises the following specific steps: constructing the mobile edge computing system composed of N edge servers and M mobile devices, and enabling each mobile device to interact with the environment in turn in a time division multiplexing mode; the mobile equipment is randomly distributed in a closed area and randomly moves in the area; and integrating the channel gain between the edge server and the mobile device, the signal-to-noise ratio of the edge server and the mobile device, the data transmission rate of the edge server and the mobile device, the total delay and total energy consumption of the edge calculation and the task cost of the edge calculation to construct an optimization problem model. The problem that the prior art is not suitable for the environment with multiple edge servers and multiple mobile devices is solved, and the method has the advantages of being accurate in calculation and capable of effectively reducing task cost.

The invention provides a beam alignment training method and device, and the method comprises the steps that a transmitting end transmits M pieces of first beam measurement data, and the M pieces of first beam measurement data correspond to M measurement beams; the sending end receives a merging coefficient set, the merging coefficient set is determined by the receiving end according to the M first beam measurement data, the merging coefficient set comprises M beam weighting coefficients, the mth beam weighting coefficient corresponds to the mth first beam measurement data, the mth beam weighting coefficient represents the weight of the mth measurement beam in the M measurement beams, m is greater than or equal to 1 and less than or equal to M, and m is greater than or equal to 1 and less than or equal to M; m and M are positive integers. And the sending end determines a combined beam according to the combination coefficient set and the M measurement beams. Thus, the combined beam can be better matched with the actual air interface channel direction, the channel gain can be better utilized, then beam fine alignment can be achieved, and the coverage performance is improved.

The invention provides an audio channel load distribution method and system. The method comprises the following steps: acquiring audio signals and audio channel load data corresponding to a plurality of audio channels; dividing the plurality of audio channels to obtain a main channel group, an auxiliary channel group and a standby channel group; for any one audio channel, the following steps are executed: obtaining an audio channel gain based on an audio channel load data audio signal, and limiting the channel gain corresponding to the audio channel to a preset gain threshold based on the audio channel gain; and acquiring main channel real-time load data, and when the main channel real-time load data exceeds the first preset load threshold value, distributing the main channel real-time load data until the main channel real-time load data is lower than the second preset load threshold value, thereby realizing balanced distribution of the audio channel load. According to the audio channel load distribution method and system provided by the invention, an audio channel overload phenomenon is avoided, and self-adaptive adjustment of audio channel gains and dynamic allocation of audio channel resources are realized.

The invention relates to the technical field of wavelength division multiplexing, in particular to an intelligent adjusting and testing method and device for integrated wavelength division multiplexing equipment. The method comprises the following steps: firstly, determining an optimal input and output optical power target value through theoretical calculation, and then realizing closed-loop adjustment by combining with a monitoring system constructed by an MEMS optical switch and a spectrum analyzer; specifically, single-wave power is calculated in a maximum output optical power-channel number conversion mode, an input target value is reversely deduced based on optical amplifier gain, an input threshold value of a power amplifier is set by considering a transmission distance, and finally system performance is dynamically optimized by adopting bidirectional intelligent adjustment and measurement. Theoretical calculation, real-time monitoring and automatic adjustment are combined, accurate control over the input optical power of each wave channel is achieved, it is guaranteed that the gain of each wave channel output by the optical amplifier module is flat, the consistency of the power between the wave channels is continuously maintained through a real-time monitoring and automatic adjustment mechanism, and the signal receiving quality is improved.

The invention discloses an optimal concealment rate optimization method based on a time slot cognitive star-air-ground fusion network, and the method comprises the steps: firstly, enabling a satellite to select an unmanned aerial vehicle relay with the maximum channel gain as a forwarding unmanned aerial vehicle relay through the instantaneous channel state information of a link between an unmanned aerial vehicle relay and a satellite; in a second time slot, by means of a main link between the forwarding unmanned aerial vehicle relay and the main user, the forwarding unmanned aerial vehicle relay overlays the hidden message sent by the satellite to the NOMA secondary user with the message of the main user and then forwards the message downwards; a closed expression of a detection error probability, an interruption probability and an effective hiding rate of an eavesdropper is deduced, a power optimization problem is constructed and solved, and the effective hiding rate of two-hop hiding transmission is maximized by optimizing a power distribution factor. According to the method, the concealment performance of the cognitive star-sky-ground fusion network can be remarkably improved.

The invention discloses a super-resolution communication perception integration method and system based on sparse MIMO, and belongs to the field of wireless communication and signal processing. Signals emitted by all users are received through a sparse array, and signal processing is carried out to estimate the two-dimensional angle of arrival of the users; pairing the two-dimensional angles by using a permutation matrix; a beam forming matrix is constructed by matching the estimated angle, and channel gain is estimated by using a small amount of pilot frequency, so that super-resolution two-dimensional sensing and efficient channel estimation of users in the system are realized. According to the method, the characteristic of large array aperture of the sparse array is combined, the problem of low positioning precision of dense distribution of multiple users is solved under the condition of not increasing hardware loss, a large amount of pilot frequency resources are saved, and the channel estimation precision is further improved.

The invention discloses a multichannel audio file generation method and device, computer equipment and a storage medium, and the method comprises the steps: carrying out the human voice separation of a stereo audio file, and obtaining a human voice signal and an accompaniment sound signal; determining the arrangement positions of a plurality of loudspeakers in the target sound system, and determining the sound channel gain of each loudspeaker according to the arrangement positions of the plurality of loudspeakers; and generating audio signals corresponding to the loudspeakers based on the human voice signals, the accompaniment sound signals and the sound channel gains of the loudspeakers, and combining the audio signals into a multi-sound-channel audio file adaptive to the target sound system. The purpose of converting the stereo audio file into different multi-channel formats to adapt to different multi-channel sound systems is achieved, and a user can determine the channel gain of each loudspeaker according to the number and arrangement positions of the loudspeakers of the target sound system. Therefore, the stereo audio file is converted into the multi-channel audio file adaptive to the target sound system, and the use experience of a user on the multi-channel sound system can be improved.

The invention discloses a multichannel broadband receiver, and belongs to the technical field of microwave radio frequency and electronic control, the multichannel broadband receiver comprises a multichannel down-conversion assembly, a local oscillator power component, a power interface control panel and a VPX connector, the down-conversion assembly adopts a cavity-divided integrated structure, multiple identical radio frequency links are arranged in the same cavity in parallel, and the VPX connector is connected with the local oscillator power component. Down conversion from a 2-18GHz radio frequency signal to a 1.3-2.3 GHz intermediate frequency signal is realized through two-stage frequency mixing; the power supply interface control board takes an FPGA as a core, integrates the functions of multi-path power supply conversion, driving isolation, state monitoring and the like, and realizes channel gain power failure storage and calling, BIT self-inspection, nanosecond rapid turn-off and multi-parameter real-time monitoring through software and hardware cooperation. Through collaborative innovation of the structure, circuit and control, high integration, high channel consistency, high isolation and high intelligence of the multi-channel receiver are realized, and the multi-channel receiver is suitable for the fields of high-performance radars, electronic countermeasures and the like.

The invention discloses a communication network optimization method for air RIS attitude change, which belongs to the field of wireless communication, and comprises an air RIS assisted communication network scene and an air RIS control method based on an Euler angle, so as to jointly optimize a UAV track and an air RIS attitude, and adopt a deep reinforcement learning algorithm to maximize a system communication rate sum. The coupling relation between the air RIS attitude and the UAV trajectory and the relation between RIS channel gain and orientation are considered, so that an application scene better conforms to the display condition, and a better effect is achieved when the method is applied to an actual scene; the proposed SAC algorithm not only pays attention to maximization of accumulated rewards, but also takes strategy entropy as one of key optimization targets; the weighted sum of the accumulated reward and the strategy entropy is maximized, and the strategy randomness is introduced to encourage the intelligent agent to have higher exploration ability during action selection.

The invention discloses a backhaul link limited power distribution method based on a Stackelberg game. The backhaul link limited power distribution method comprises the following steps: step 1, a base station collects channel gain information of users in a network and a minimum QoS demand value; step 2, the base station adopts a Stackelberg game mechanism to make a decision for power distribution of multiple users, so that effective control on a backhaul link of the base station is achieved; and step 3, the base station updates the maximum threshold value of the backhaul link, and if the total data transmission rate of the network user is greater than the threshold value, the step 1 and the step 2 are returned to carry out the Stackelberg game again on the provided power distribution method. According to the method, the Stackelberg game mechanism is adopted to effectively allocate the multi-user power with the limited backhaul link, meanwhile, the problem of resource allocation fairness between the users is considered, and the method physically conforms to the scene of practical application and can be effectively applied to engineering practice.

The invention provides a multi-dimensional optimization-based unmanned aerial vehicle data security acquisition method and system, and the method comprises the steps: constructing an unmanned aerial vehicle-assisted Internet of Things data acquisition system which comprises an unmanned aerial vehicle, a plurality of sensors, a plurality of auxiliary devices and a potential eavesdropper, discretizing a task acquisition period into a plurality of time slots; introducing a sensor scheduling variable to perform dormancy wakeup management on the ground sensor, and introducing an interferer selection variable to select an auxiliary device as a friendly interferer based on a channel condition; establishing a path loss model of a ground-air channel and a ground-ground channel to obtain a channel gain, defining a transmission rate and an eavesdropping rate, considering the uncertainty of the position of an eavesdropper to construct a worst-case secrecy rate model of the unmanned aerial vehicle, and setting constraint conditions; a data acquisition problem is formalized into a secrecy rate maximization problem and decomposed into three sub-problems, the sub-problems are solved, and an optimized unmanned aerial vehicle trajectory, sensor scheduling and jammer selection strategy is output.

The invention provides a user clustering algorithm based on cluster head selection and channel characteristics, which is suitable for a non-orthogonal multiple access (Non-Orthogonal Multiple Access, NOMA) system of a large-scale multiple input multiple output (MIMO) without a cellular, and is characterized in that the user clustering algorithm based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics based on the cluster head selection and the channel characteristics. The method comprises the following three main steps of: firstly, preferentially selecting a user with an optimal access point channel condition from users as a cluster head user; secondly, a clustering evaluation index is constructed based on the channel gain difference and the channel correlation, and the clustering evaluation index is used for dynamically quantifying the matching degree between users; and finally, according to the evaluation indexes, gradually distributing the remaining users to the cluster where the corresponding cluster head user is located, and forming a final clustering scheme. According to the method, good balance between clustering performance and complexity is achieved, compared with a traditional statistical theory clustering algorithm, the calculation complexity is reduced by 47.5%, meanwhile, clustering fairness, anti-interference capacity and spectrum efficiency are remarkably improved, and the method is suitable for dynamic clustering and resource optimization distribution of a high-density user access scene.

A method of navigating user equipment in motion relies upon local signals of opportunity for mapping landmarks. The signals of opportunity include synchronization signals and reference signals used to identify sources of the received signals, the respective carrier phases, the respective code phases, and the Doppler frequency for each received signal. A reference signal locked loop, a phase locked loop, and a delay locked loop utilize inherent channel gain from an acquisition step to provide navigation observable data.

The invention provides a robust hybrid beam forming method for cooperative communication of multiple low-orbit satellites, which relates to the technical field of satellite communication and comprises the following steps of: S1, constructing a joint optimization problem for joint beam forming and user scheduling; s2, the minimum channel gain of all users is maximized, when the number of satellite antennas is larger than a preset threshold value, the step S3 is executed, and otherwise, the step S5 is executed; s3, constructing a minimum signal to interference plus noise ratio maximization problem, and solving to obtain an optimal all-digital precoding matrix; s4, based on the optimal all-digital precoding matrix, constructing a digital-analog hybrid precoding matrix design problem to obtain a digital-analog hybrid precoding matrix; and S5, constructing and solving an analog pre-coding matrix design problem based on maximization of the signal leakage and noise ratio to obtain an optimal analog pre-coding matrix, and then solving an optimal digital pre-coding matrix. According to the invention, the overall performance and the service quality of the multi-low-orbit satellite communication network can be obviously enhanced.

A hidden communication method for confronting a full-duplex eavesdropper based on probability transmission in symbiotic radio comprises the following steps: constructing a system model which comprises a main transmitter Alice, a main receiver Bob, an auxiliary transmitter BD and a full-duplex eavesdropper Willie; the main transmitter Alice selectively transmits information according to a link channel state with the main receiver Bob; when the channel gain # imgabs0 # of a legal link is greater than a preset threshold value delta, the information is transmitted; otherwise, the information is not transmitted; the auxiliary transmitter BD secretly sends confidential information to the main receiver Bob through a reflection link by using the transmission behavior of the main transmitter Alice, and the full-duplex eavesdropper Willie works in a full-duplex mode and simultaneously sends artificial noise to interfere legal communication and eavesdrop. The technical problem to be solved by the invention is to provide the hidden communication method for confronting the full-duplex eavesdropper based on probability transmission in the symbiotic radio, the strong eavesdropper is confronted by using the uncertainty of link information, and the detection performance and the concealment performance of the eavesdropper are comprehensively analyzed.