269 results about "Channel models" patented technology

The invention relates to the technical field of intelligent communication, and discloses an end-to-end optimization method, a signal constellation geometry and probability joint shaping optimization method in an end-to-end intelligent communication system, and a communication device based on a neural network. According to the method, a transmitter is constructed by using a neural network, and a received signal passes through a two-stage equalization processing system to form an end-to-end optimization framework without assistance of a channel model. The transmitter adopts a modular design, can realize joint optimization of constellation probability shaping (PS) and geometric shaping (GS), and performs joint updating on all trainable parameters of the system based on a total loss function containing an equilibrium error and a decoding error through a back propagation algorithm. According to the invention, computing resources are effectively saved; the two-stage equalization system can accurately compensate channel damage, the realized PS and GS joint optimization can significantly improve the performance of the communication system and reduce the bit error rate, and the method has good performance advantages and practical value in an actual optical fiber communication system.

The invention relates to the technical field of three-dimensional model design of molds, and provides a mold three-dimensional high-precision modeling method and system based on multi-modal data fusion, and the method comprises the steps: collecting an RGB image, a high dynamic range image and a structured light depth image of an entity mold, and carrying out the reconstruction to obtain a globally consistent dense point cloud; denoising and semantic segmentation are carried out on the point cloud, and a cavity function area, a core function area and a runner function area are recognized; performing differential parametric modeling based on an identification result: performing geometric primitive fitting on regular geometric features, performing NURBS curved surface reconstruction on a free-form surface, and performing swept volume or rotator fitting on a flow channel to obtain a parameterized geometry, a parameterized curved surface and a parameterized channel model; and applying boundary continuity constraint to fuse the parameterized geometry, the parameterized curved surface and the parameterized channel model, and constructing a hybrid parameterized three-dimensional model. According to the method, rapid reconstruction of a high-precision, high-semantic and full-parameterized three-dimensional model of an entity mold can be realized.

The invention provides a multi-user near-field secure communication method based on stacked intelligent metasurfaces, and relates to the technical field of wireless communication. The method comprises the following steps: obtaining an equivalent beamforming matrix and a first-layer channel transmission matrix of an SIM according to parameters of the SIM in a base station; according to the transmission distance between the SIM and the user and the transmission distance between the SIM and the eavesdropper and the parameters of the SIM, modeling a near-field channel to obtain a near-field channel model; obtaining a data transmission rate in combination with a beamforming vector of the base station, and further determining the security and the rate; and by taking maximization of the safety and the rate as a target, constructing an optimization model and decomposing the optimization model into two sub-problems to carry out alternate iterative optimization so as to obtain an optimized equivalent beam forming matrix and an optimized beam forming vector. An SIM is introduced, the freedom degree of beam regulation and control is increased, optimization is carried out on the basis of a near-field channel model by taking maximization of safety and rate as targets, legal users and eavesdroppers are effectively distinguished, signal energy is accurately guided to the legal users, and the communication safety is improved.

The invention discloses an Internet of Vehicles channel modeling method considering antenna attitude vibration, and the method comprises the steps: building an accurate vibration model of an antenna three-dimensional attitude through precisely modeling vehicle body tiny vibration caused by bumping, steering and other factors in vehicle driving into micro-motion of an antenna attitude at three time-varying Euler angles of pitching, rolling and yawing; the time-varying attitude is introduced into a coordinate system rotation matrix, the random vibration characteristic parameterization of the antenna in a three-dimensional space is realized, and then the random vibration characteristic parameterization is coupled to the evolution of key parameters of a channel model, so that the channel rapid fluctuation and beam mismatch effect caused by the antenna attitude jitter can be more accurately reproduced; the method can effectively solve the problems that in the prior art, due to the fact that microcosmic vibration of an antenna is ignored, the fidelity of a model is low, and characterization of a key beam mismatch effect in millimeter wave communication is seriously insufficient, and can provide theoretical basis and data support for performance evaluation and beam management algorithm design of a high-dynamic and high-reliability car networking system.

The invention belongs to the technical field of wireless communication, and particularly relates to a communication method and device based on MQAM-OFDM modulation, a medium and equipment, and the method comprises the steps: generating a random data source, carrying out MQAM modulation, generating a serial modulation signal, carrying out serial-parallel conversion and subcarrier mapping, and obtaining frequency domain subcarrier data; performing inverse fast Fourier transform on the frequency domain subcarrier data to generate a time domain OFDM symbol, and adding a cyclic prefix to obtain a sending signal; transmitting the sending signal based on a multipath channel model; receiving a sending signal and removing a cyclic prefix part in the sending signal to obtain an effective OFDM signal; performing fast Fourier transform on the effective OFDM signal to recover frequency domain data, and obtaining a frequency domain receiving symbol sequence; performing channel estimation and equalization on the frequency domain receiving symbol sequence to obtain a frequency domain symbol estimation value; and performing MQAM demodulation on the frequency domain symbol estimation value, and recovering the parallel data stream into the serial bit stream to complete data recovery.

The invention discloses a relay unmanned aerial vehicle track optimization method, which comprises the following steps of: firstly, constructing a lossy relay unmanned aerial vehicle communication system model under finite length coding, and covering communication time slot division, unmanned aerial vehicle flight constraint and a channel model; deducing outage probability expressions of two communication strategies under finite length coding, wherein the outage probability expressions are an independent decoding strategy and a joint decoding strategy respectively; then, a trajectory optimization problem is converted into a Markov decision process (MDP), and a state space, an action space, a reward function and a state transition mechanism are clarified; solving by adopting a joint optimization algorithm based on depth deterministic strategy gradient (DDPG) to realize joint optimization of the unmanned aerial vehicle track and the communication strategy; and finally, outputting an optimal unmanned aerial vehicle track and strategy configuration to provide reference for actual system deployment. The method can effectively reduce the outage probability of the system and improve the communication reliability under the condition of limited length coding, and is suitable for various scenes in 6G and future air-ground cooperative communication networks.

The invention belongs to the technical field of communication, and relates to an unmanned aerial vehicle user association and 3D flight path optimization method for anti-interference communication. The method comprises the steps of firstly obtaining information of the unmanned aerial vehicle, each ground node and an interference node to establish a system model, then establishing a 3D trajectory operation model, a user association strategy model and a sight distance probability channel model of the unmanned aerial vehicle, defining a communication rate, and finally establishing an optimization problem of maximizing the total throughput of the system. An optimization problem is modeled as a Markov decision process, finally a user association and unmanned aerial vehicle 3D trajectory planning network is constructed, and an unmanned aerial vehicle learning optimal strategy and an unmanned aerial vehicle 3D trajectory and user association strategy are obtained through a deep learning framework. According to the method, while the lightweight characteristic is maintained, user scheduling and unmanned aerial vehicle 3D trajectory control are dynamically realized, and the communication performance of an unmanned aerial vehicle auxiliary communication system in a malicious interference environment is remarkably improved.

The invention discloses an emergency multi-unmanned aerial vehicle distributed service quality assurance method and system based on private flow sensing integrated design. The method comprises the following steps: establishing an equivalent Nakagami-channel model for a physical channel of a base station-unmanned aerial vehicle link in an emergency scene, establishing a signal model based on rate division multiple access, and calculating effective capacity; establishing a sensing signal model, and constructing an extended effective capacity of the fusion communication and sensing performance indexes; constructing a joint optimization problem; designing a dynamic weighted federated learning (DW-FL) algorithm, and solving a joint optimization problem; according to the method, the private flow of rate segmentation multiple access is designed into the sensing dual-function signal, and the federated learning DW-FL distributed algorithm for dynamic weighting based on the performance contribution degree is combined, so that the sensing resources of the multi-unmanned aerial vehicle network can be subjected to high-time-efficiency collaborative optimization and distribution in an emergency scene with limited resources, and the resource utilization rate of the multi-unmanned aerial vehicle network is improved. And the total effective capacity of the system is maximized while the dual service quality of communication delay and perception probability is ensured.

The invention discloses an RIS-assisted millimeter wave satellite communication system channel estimation method based on PARAFAC. The method comprises the following steps: constructing an RIS-assisted millimeter wave satellite communication system cascade channel model; the method comprises the following steps: modeling received signals of an RIS-assisted satellite communication system into a third-order parallel factor (PARAFAC) model through data reconstruction based on a multi-dimensional structure of an RIS-assisted millimeter wave satellite communication system channel; and performing parallel factorization on received signals of the RIS-assisted satellite communication system by using an alternating optimization method to obtain an estimated value of a model factor matrix, and finally reconstructing an RIS-assisted satellite communication channel by using the estimated value of the factor matrix to obtain a channel estimated value. The RIS-assisted millimeter wave satellite communication system channel estimation method can accurately achieve RIS-assisted millimeter wave satellite communication system channel estimation, and the performance of the RIS-assisted millimeter wave satellite communication system channel estimation method is superior to that of a traditional least square method (LS)-based channel estimation method.

The invention belongs to the technical field of unmanned aerial vehicle millimeter wave communication channel modeling, and discloses an urban low-altitude unmanned aerial vehicle millimeter wave communication channel modeling method under sand and dust weather conditions. According to the method, a three-dimensional geometric random channel model is provided, and scatterers are divided into three types: near-field scatterers at the transmitting end and the receiving end adopt bicylindrical models, suspended dust adopts a complete ellipsoid model, and ground fixed scatterers adopt a lower half ellipsoid model with a larger semi-major axis. On the basis of the model, channel impulse response containing sight distance, primary scattering components and secondary scattering components is derived, and a space-time correlation function and Doppler power spectral density are calculated. And finally, establishing a joint path loss model: on the basis of the two-path fading model, introducing an additional attenuation factor related to the visibility of the sand and dust and the particle charge mass ratio, and determining specific parameters of the factor according to the grade of the sand and dust. According to the method, the channel characteristics can be accurately predicted, and theoretical support is provided for anti-interference design and link optimization of the millimeter wave communication system of the unmanned aerial vehicle.

The embodiment of the invention provides a steerable antenna-based covert communication system transmission rate enhancement method and related equipment, and belongs to the technical field of wireless communication. The method comprises the following steps: introducing an antenna pointing vector and a deflection angle pair to represent the three-dimensional direction of a single steerable antenna, establishing a channel model related to the antenna deflection angle pair, and deducing a hidden rate expression of a legal user; deducing a hidden constraint condition expression of the illegal user side by using the channel model; according to the concealment rate expression and the concealment constraint condition expression, constructing a joint optimization problem taking maximization of the concealment rate of the legal user as a target and taking concealment constraint, transmitting power constraint and antenna steering angle constraint as conditions; and solving the joint optimization problem to obtain an optimized transmitting beam forming vector and a deflection angle pair of the steerable antenna. The antenna orientation is dynamically adjusted, the spatial degree of freedom is fully excavated, and the transmission rate of the system can be remarkably improved on the premise of strictly ensuring the communication concealment.

The invention relates to the field of power line channel modeling, in particular to a power line channel modeling method, system, equipment and medium, power line channel data is actually measured and collected and preprocessed, channel characteristics are extracted, parameters such as characteristic impedance and propagation constant of a power line are calculated by using a transmission line theory, and the power line channel is modeled. Constructing an enhanced conditional generative adversarial network comprising a generator and a discriminator, inputting parameters obtained by theoretical calculation of a transmission line as conditional information in a training process, optimizing structures and loss functions of the generator and the discriminator, enabling the generator to generate a high-quality analog channel sample, fusing a deep learning model with a transmission line theoretical model, and obtaining a high-quality analog channel sample; according to the method, a mixed channel model is formed, model parameters are alternately trained and optimized, accurate prediction of transmission characteristics of the power line channel is realized, complex characteristics of the power line channel can be effectively modeled, and a reliable basis is provided for design optimization of a power line communication system.

Provided in the present application are a method for determining a wireless channel and a communication apparatus. The method comprises: a first device determines and sends configuration information, wherein the configuration information comprises information used for indicating M models, the M models corresponding to M weightings, the M models and the M weightings being used for reconstructing a wireless channel, and M being an integer greater than or equal to 1. In the method, a model combination consisting of at least one model in the configuration information and the weighting corresponding to the model are used for reconstructing the channel, thereby avoiding the problem in existing solutions that a multipath transient part cannot be obtained, and the channel is reconstructed by means of the channel model most approximating an actual channel model, thus improving the accuracy of wireless channel reconstruction.

The present application provides a channel information acquisition method and a related apparatus. The channel information acquisition method provided by the present application comprises: acquiring physical environment information comprising a point cloud density of sampling points; and acquiring an angle power spectrum on the basis of the physical environment information and a channel model, wherein the channel model is a high-precision NeRF model obtained by training on the basis of real physical environment information and a physical propagation law. An angular power spectrum of a multipath channel is acquired on the basis of a high-precision channel model, thereby improving the accuracy of wireless channel modeling.

The invention discloses a millimeter wave beam tracking method, a computer readable storage medium and node equipment, and belongs to the technical field of wireless communication, and the method comprises the steps: constructing a beam pointing error interval at an initial moment; at the next moment, predicting the interval through a state transition equation; acquiring a channel observation value under the current beam pointing based on a channel model; carrying out shrinkage processing on the predicted error interval; and estimating a beam pointing angle according to the contracted interval, and transmitting the interval as priori information to the next moment so as to repeat the steps. A computer program for executing the method is stored in the computer readable storage medium. The node equipment comprises at least one processor, a memory and a bus, wherein the memory stores a program for executing the method. According to the method, the tracking performance in a nonlinear and non-Gaussian scene can be kept under the condition that the calculation load is not increased, and the method is suitable for the conditions of uncertain and incomplete channel state information introduced by multipath, analog-to-digital conversion quantization, hardware nonlinear errors and the like.

This invention discloses a large-scale hybrid constellation distributed downlink spectrum sharing method based on game theory, comprising the following steps: establishing a link channel model in the hybrid constellation; using a perceived satisfaction function as an evaluation index of user performance; formulating a channel allocation game to capture the interaction and conflict between links, formalizing the channel allocation problem as a latent game; to solve the Nash equilibrium solution of the game model, dividing the system cycle into several equal topology cycles, with the topology of the ground-satellite link remaining unchanged within each topology cycle; dividing the topology cycle into a link establishment superframe and a data transmission superframe; and then using a distributed channel allocation algorithm based on stochastic learning for allocation. This application transforms a dynamic social problem into a static channel allocation problem; establishes a mathematical model based on game theory to represent user interaction; balances convergence speed and overall network satisfaction, and improves spectrum efficiency.

The invention discloses an electromagnetic target knowledge graph construction method based on multi-modal collaboration and a related device, and the method comprises the steps: configuring a transmitting node and a receiving node through a dynamic electromagnetic channel model, and generating structured, semi-structured and unstructured multi-modal electromagnetic data; constructing a knowledge triple according to the structured, semi-structured and unstructured multi-mode electromagnetic data; the knowledge triple is input into a trained BiLSTM-GNN-FBST-KNN cascade type hybrid model, and a signal-entity-intention triple is obtained, and the signal-entity-intention triple is input into the trained BiLSTM-GNN-FBST-KNN cascade type hybrid model; the electromagnetic target knowledge graph is constructed on the basis of the signal-entity-intention triple, the method and the related device can construct the electromagnetic target knowledge graph, and the intention generalization ability is high.

The application discloses a wireless channel model updating method and device, equipment and a storage medium, and relates to the field of communication. The method comprises the following steps: obtaining first channel information through a first wireless channel model, the first wireless channel model being a generator (410) in a first generative adversarial network; and in the case that the first wireless channel model satisfies an updating condition based on the first channel information through a first discriminator (420), which is a discriminator in the first generative adversarial network, the first wireless channel model is updated. The method can perceive the deterioration of a neural network model in real time and update the neural network model in time.

The invention belongs to the technical field of high-speed rail communication, and discloses a method for optimizing an intelligent reflecting surface in high-speed rail communication based on discrete phase shift, which comprises the following steps of: constructing a high-speed rail millimeter wave communication system comprising a base station, the intelligent reflecting surface and a plurality of mobile relays; establishing a channel model of each channel in the high-speed rail millimeter wave communication system; deducing a received signal expression of each mobile relay by combining the channel model and the discrete phase shift of the intelligent reflecting surface, and calculating the reachable rate of each mobile relay; establishing a target function by taking minimization of the transmitting power of the base station as a target, and meanwhile, setting constraint conditions to construct an optimization problem; and jointly optimizing the transmission covariance matrix of the base station and the discrete phase shift of the intelligent reflecting surface, and solving an optimization problem through an alternate optimization algorithm to reduce the transmission power of the base station. By adopting the method provided by the invention, the power consumed by the base station is reduced on the premise of ensuring the communication quality of the mobile relay.

The application discloses a satellite large-scale MIMO beam structure downlink precoding method and uplink detection method. In the beam base channel model established by the application, the scaling direction cosine is uniformly sampled and quantized, and the uplink / downlink beam matrix is constructed, the space domain channel vector is expressed as the product of the equivalent uplink / downlink channel gain, the uplink / downlink beam matrix and the diffusion vector. Based on the downlink / uplink beam base channel model, the statistical channel information is used to design the downlink precoder / uplink detector under the beam structure, and the high-dimensional space domain precoder / detector design is converted into the low-dimensional beam domain precoder / detector design. Using the designed precoder and detector, low-complexity downlink precoding transmission processing and uplink receiving processing are respectively carried out. The application fully utilizes the sparse characteristics of the satellite channel, guarantees the uplink and downlink ergodic and rate performance of the satellite large-scale MIMO system, and effectively reduces the design and implementation complexity of the precoder and the detector.

This invention discloses a method for emergency communication recovery of distribution networks using air-ground coordination, considering cyber-physical coupling, belonging to the field of distribution network resilience technology. This invention aims to solve the technical problem of load recovery difficulties caused by combined faults in distribution and communication networks under extreme disasters. The method constructs a communication network data flow model, a UAV and mobile communication vehicle channel model, an emergency resource working model, and a traffic network model, and combines cyber-physical coupling and distribution network operation constraints to establish an optimization model with the goal of minimizing distribution network load loss. This invention, by jointly optimizing the deployment and trajectory of air-ground emergency communication resources, prioritizes the restoration of communication at key nodes that significantly support the power grid, while meeting communication quality constraints, achieving efficient distribution network load recovery. It is mainly used for emergency repair and power restoration of distribution networks after disasters.

This invention discloses a sensor-integrated multi-UAV beam trajectory design method for anti-UAV operations. First, a system model is constructed, defining the channel model, signal model, and power consumption model. Then, a mathematical model of the long-term Cramer-Rao bound (CRB) minimization problem is established, and the optimization problem is reconstructed, addressing uncertainties in the optimization objective. Next, the problem is broken down into three sub-problems: joint optimization of transmit and receive beams, joint optimization of user association and UAV scheduling, and UAV trajectory optimization. These sub-problems are solved using Lagrange relaxation, semi-definite relaxation, and penalized successive convex approximation methods, respectively. Finally, an alternating iterative strategy is used to coordinate the solutions to these sub-problems. This invention solves problems in existing technologies such as incomplete coverage, poor sensing performance, signal interference, and positional uncertainty caused by UAV maneuvers, improving cooperative sensing performance and meeting the dual requirements of flexible sensing and reliable positioning.

The invention provides a testing system, method and device, a storage medium and a program product, relates to the technical field of industrial testing, and solves the technical problem of unreliability of testing in related technologies. The test system comprises a wireless channel simulation instrument, a network damage instrument, a network forwarding unit, a service scene module and an application server. Deploying a wireless channel model capable of reflecting wireless channel characteristics of a to-be-tested service scene and network configuration of the to-be-tested service scene in the line channel simulation instrument; the network damage instrument is used for performing simulation regulation and control on network indexes; the business scene module comprises an entity environment and a simulation environment; the simulation environment is constructed through equipment modeling, control logic simulation and industrial automation system twinning; the entity environment is constructed through entity equipment, logic control and network configuration; and software corresponding to the to-be-tested business scene is deployed in the application server, and the application server is used for interacting with the business scene module and testing and evaluating the operation index of the to-be-tested business scene.

The invention provides a communication method and a communication device. The method comprises: a first device determines and sends configuration information, where the configuration information comprises information for indicating M models, the M models correspond to M weights, the M models and the M weights are used for reconstructing a wireless channel, and M is an integer greater than or equal to 1. In the method, the model combination formed by at least one model included in the configuration information and the weight corresponding to the model are used for reconstructing the channel, the problem that a multipath instantaneous part cannot be obtained in an existing scheme is avoided, the channel is reconstructed through the channel model closest to the actual channel model, and the accuracy of wireless channel reconstruction is improved.

The invention particularly relates to a multi-agent electromagnetic spectrum control attack and defense method based on deep reinforcement learning, which comprises the following steps: constructing a channel model following a discrete time two-state Markov chain, and carrying out electromagnetic spectrum control multi-agent deep reinforcement learning training based on a centralized training-decentralized execution architecture; in the attack part, a quantitative trigger is designed according to the channel signal receiving strength, an induction reward is utilized to implant a back door, the situation that higher modification cost and complexity are possibly caused by modifying a global reward is avoided, a feasible action scheme is selected for a poisoning action, and multiple agents select the same channel to collide when the back door is triggered; in a defense part, multi-agent deep reinforcement learning backdoor detection is performed based on an abnormal reward value, whether an abnormal reward mode exists or not is detected by analyzing reward distribution of a strategy in different states, and whether the reward value deviates from a normal range remarkably or not under a specific triggering condition is detected, so that a trigger is reconstructed, and an input filtering method is adopted to eliminate a backdoor.

The invention discloses a holographic MIMO near-field channel estimation method based on a spatial correlation matrix, and the method comprises the steps: carrying out the modeling of a 3D H-MIMO channel based on a non-uniform spherical wave model, and building an H-MIMO near-field channel model; calculating a spatial correlation coefficient between antenna units at a base station end, introducing a generalized single-ball scatterer model, and deducing to obtain a near-field spatial correlation matrix; eigenvalue decomposition is carried out, and a low-dimensional signal subspace is constructed; designing a pilot frequency matrix, wherein the pilot frequency time slot number in the pilot frequency matrix is set as the rank of the low-dimensional signal subspace; and estimating the low-dimensional signal subspace coefficient to obtain a channel estimator of the low-dimensional signal subspace. According to the channel estimation method, spatial correlation prior information is effectively utilized, and the pilot frequency overhead and the calculation complexity are remarkably reduced.

This invention discloses a visible light communication channel modeling method for underground coal mine environments, solving the problem that existing technologies fail to accurately quantify the impact of coal mine dust and obstacles on the attenuation of received optical power. The method includes: determining the link parameters of the visible light communication system, simulation parameters of the environment, and simulation parameters of the transmitter and receiver; calculating the attenuation coefficient of received optical power due to coal mine dust and obstacles; calculating the channel impulse response and characteristic parameters; determining the noise simulation parameters of the photodetector; and calculating the bit error rate of the communication system. This invention quantifies the impact of coal mine dust and obstacles on the channel, integrating the attenuation coefficient of received optical power due to coal mine dust and obstacles into the channel model, resulting in a visible light communication channel model that better reflects the underground coal mine environment. This invention enriches the modeling methods for visible light communication channels, and the modeling results provide guidance for the design and deployment of visible light communication systems in underground coal mine environments.

This disclosure relates to a communication method, a transmitter, a receiver, a communication device, and a communication system. The communication method includes: configuring the transmission power of multiple transmit beams; all transmit beams are transmit beams of tapped delay line (TDL) channels; transmitting the corresponding transmit beams at the configured transmission power; wherein the transmission power of each transmit beam is determined by applying simulated beamforming to a clustered delay line (CDL) channel model. Addressing the problem that TDL channels do not contain spatial information and therefore cannot be used to simulate beamforming, this method utilizes the characteristic that CDL channels contain spatial information, applying simulated beamforming to the CDL channel to achieve the configuration of transmission power for each beam of the TDL channel.

This disclosure relates to a communication optimization method, apparatus, electronic device, storage medium, and program product. The method includes: receiving first information transmitted by a network device through a relay node via a plurality of receiving ports on a fluid antenna on a first terminal; the first information includes superimposed signals transmitted by the network device to various terminals within a terminal group using power allocation technology; the terminal group includes the first terminal; the superimposed signals include a first signal from the first terminal; parsing the first information received at each receiving port and determining a first receiving port, wherein the first receiving port receives the first signal with the best signal quality; and calculating an optimized power allocation factor based on a channel model from the network device to the first receiving port, with the optimization objective being to minimize the interruption probability and / or maximize the transmission rate; wherein the power allocation factor is used to indicate the proportion of the transmission power of the network device transmitting the corresponding signal to the total transmission power.

The invention discloses a robust self-interference suppression beamforming method based on a multi-missile collaborative scene, which comprises the following steps of: considering a non-ideal condition, constructing a coupling channel model containing a circular symmetry Gaussian distribution error, and constructing an expression of power of a transmitting signal and a self-interference signal. Based on a self-interference signal power expression, an optimization problem for self-interference suppression transmitted beam forming with robust estimation errors is constructed; wherein the optimization target is set to maximize the transmitting beam gain; the set constraint condition is that it is ensured that the power of self-interference signals coupled to all receiving array elements in the receiving sub-arrays is smaller than a set upper limit threshold value; and transmitting link full-feed power upper limit constraint. According to an optimization problem, an original non-convex opportunity constraint problem is converted into a convex problem to be solved through an approximation method of positive semi-definite relaxation and a Bernshi inequality, so that a transmitted beam weight vector solution is obtained, the robust self-interference suppression capability under a non-ideal coupling channel is realized, and normal receiving of a desired signal is ensured.