Analysis Of Node Position Errors In Distributed Collaborative Beamforming For UAV Networks

In the field of communication,multiple UAVs are used as carriers of distributed antennas to form UAV virtual antenna arrays to accomplish communication tasks through collaborative beamforming.The position of each UAV in the UAV virtual antenna array is an important factor affecting the communication performance of the UAV virtual antenna array.Due to the interference of the physical environment,UAVs often cannot be deployed to the designated locations.To address this problem,this thesis simulates the node position errors in distributed collaborative beamforming of UAV networks,predicts the impact on the communication performance of UAV virtual antenna arrays,and finally fixes the communication performance of:First,this thesis simulates the position errors of the UAV virtual antenna array communication using randomly generated values of the normal distribution function.The position errors are brought into the equation of the UAV virtual antenna array to analyze its effect on the communication performance of the UAV virtual antenna array.The simulation results show that the directionality value of the UAV virtual antenna array gradually decreases and the maximum sidelobe level gradually increases with the gradual increase of the position errors.Second,this thesis constructs a deep learning model to predict the impact of position errors on the communication performance of UAV virtual antenna arrays.For the communication data of UAV virtual antenna arrays of different sizes,the position errors of their UAVs,the directionality value and the maximum sidelobe level of UAV virtual antenna arrays are passed into the constructed deep learning model for training and prediction.Taking the data of 32 UAV virtual antenna arrays as an example,the average absolute value error and mean square error of the directionality values are1.115*10^-2 and 1.0179*10^-1,respectively.Finally,to address the problem of the presence of positional errors,this thesis fixes the communication performance of the UAV virtual antenna array:the excitation current of the UAV virtual antenna array is re-optimized using the firefly algorithm with the same other parameters.The simulation results show that the re-optimized excitation current increases the directionality value of the UAV virtual antenna array,and at the same time,the maximum sidelobe level decreases,indicating that the communication performance is fixed to some extent.