Research On Beamforming Technology Of Joint Autonomous Positioning In 5G Millimeter Wave System

5G introduces millimeter band into wireless communication,solves the problem of spectrum shortage,and adopts Massive MIMO beamforming technology,thus realizing the narrow-beam directional transmission with relatively concentrated energy.It not only makes up for the link transmission loss of millimeter wave,but also speeds up the transmission rate and improves the capacity of the system.However,with the increase of the number of antennas on both sides of the communication,the beam width becomes narrower and the number of beams becomes more and more.In the process of beam matching on both sides of the communication,the traditional beamforming algorithm has the problems of larger search area,more number of training beams,longer beam pair on time and higher overhead.This paper studies the application of position information to beamforming.Compared with the traditional beamforming scheme,the beamforming based on the position information can save the cost of beam training and accelerate the speed of beam alignment.Because of the poor diffraction and scattering ability of millimeter wave,the system mainly depends on the direct path propagation,and the signal propagation depends on the relative position of both sides of communication,which is the prerequisite of the beamforming scheme using the position information.As for the determination of the relative positions of the communication parties,firstly,the feasibility and advantages of target positioning in the5 G communication system have been demonstrated by relevant literature,and the application of location information to beam-forming can play a huge role.Secondly,positioning technology has gradually matured,and relative position positioning has also put forward a research scheme,which provides a more convenient solution for the determination of the relative position of the communication parties.When making target,now commonly used positioning algorithm is the absolute position of the target,autonomous localization algorithm can locate the relative position between the targets,the algorithm can be used to directly determine the communication on both sides of the relative position,relative Angle information is obtained,which provides direct find beam informs the basis of the optimal beam.Firstly,this paper proposes a beamforming algorithm based on joint autonomous location.Firstly,the localization results of the autonomous localization algorithm and the Angle estimation errors caused by the algorithm are analyzed numerically and emulated,and the error distribution of the autonomous localization and the influencing factors of the Angle estimation errors are obtained,which prove the feasibility of the fusion algorithm.In order to reduce the negative effect of the small error of position information on the proposed algorithm,a new beamforming algorithm based on adjacent search is proposed.Through simulation analysis,it is proved that the proposed algorithm has good performance under the condition of high positioning accuracy,and reduces the delay and overhead of beam training to a great extent on the premise of ensuring the signal quality of the receiver.Secondly,in order to make the joint position information beamforming more universal,the larger location error is considered.In order to reduce the impact of large positioning errors on the algorithm mentioned above,a codebook combining positioning errors and corresponding beam search scheme is proposed in this paper,which is called beamforming of fusion positioning errors.A small range codebook is generated in the possible distribution range and beam training is carried out in it.Simulation results show that the algorithm can reduce the complexity of the beam training and ensure the quality of the receiving signal even when the Angle error is large.