Research On Fast Beam Search Algorithm Based On The Integration Of Radar Communication

In the B5 G communication system,people have put forward higher requirements for the Internet of vehicles technology,so the expanded research on the performance of V2X(Vehicle to Everything)has become a hot topic.In the existing V2 X scenario,the high speed movement of the user’s vehicle will lead to the problem of beam misalignment,which greatly increases the probability of user interruption and decreases the communication quality.And the existing beam search algorithm has the problem of high search complexity and long search cycle.Considering the high radar positioning accuracy and short periodicity of radar signal,a fast beam search algorithm based on radar perception-assisted is proposed in this paper to solve the mixed beamforming matrix of receiver and receiver quickly and solve the problem of beam misalignment.The main contents and innovations of this paper are as follows:Compared with the existing channel modeling methods,the channel environment required by the system was analyzed,and the millimeter-wave channel modeling was carried out.The implementation process of the Tapped Delay Line channel model was combined with Xiao model,and its implementation and simulation verification were carried out,providing the millimeter-wave massive MIMO channel environment for the subsequent algorithms.The fast beam search algorithm proposed in this paper combines the periodicity of pulse radar signal with the periodicity of beam search innovatively.First,the base station uses radar signal to roughly locate the user based on the granularity of the scan beam width,and feeds back the obtained coarse search optimal beam pair index to the communication module.The communication module gradually refines the search by increasing the number of antenna elements after obtaining the coarse search optimal beam pair index feedback from the radar module.And the number of antenna unit based on the system to carry on the multiple iterations,end up with the current system of antenna number can get the optimal vector index quantitative simulation beam forming,finally,the algorithm with the use of forced and the properties of the generalized Rayleigh quotient to solve originated the optimal matrix,digital beam forming ultimately determine the optimal mixed charge started forming matrix of the beam.In order to ensure the effectiveness of the algorithm,this article has carried on the simulation,the simulation results show that radar positioning accuracy is higher and the periodicity of radar signal can satisfy V2 X users update frequency of the beam,the proposed scheme can reduce the complexity of the beam search to log level,and compared with digital beam forming algorithm,there is only performance loss caused by quantization error,it also has low hardware cost and effectively solves the problem of beam misalignment caused by the user’s high-speed movement.