Research On Beamforming Technology Based On Swarm Intelligence Algorithm In Internet Of Vehicles

Cars have become an indispensable part of people’s lives,and the sharp increase in car ownership has made traffic congestion,traffic safety,air pollution and other problems more and more serious.People gradually add elements such as path planning,driving safety,and network mutual entertainment to cars.Under such demand conditions,the development of Intelligent Transportation System(ITS)is imminent.As the most important component of the intelligent transportation system,the Internet of Vehicles technology mainly includes communication scenarios such as vehicles to infrastructure(V2I),vehicles to vehicles(V2V).In the V2I communication scenario,vehicles realize real-time traffic information exchange and network access through roadside infrastructure,which can respond to traffic congestion and traffic accidents in advance,making people travel more efficiently and safely.Therefore,research on how to improve the performance of communication systems in V2I scenarios has become an urgent problem to be solved.The beamforming technology can dynamically adjust the amplitude and phase of the array antenna according to the task requirements of different scenarios,form a directional beam in space,and enhance the target signal and resist interference.Using beamforming technology in V2I communication scenarios can greatly improve the transmission rate and reliability of wireless communication systems.The adaptive algorithm occupies a crucial position in the beamforming technology.In the environment of high-speed vehicle movement,the adaptive algorithm can quickly form a beam due to its fast convergence speed and good steady-state error.This paper studies the adaptive beamforming algorithm based on the swarm intelligence algorithm.While retaining the advantages of the classic adaptive algorithm,the swarm optimization algorithm’s ability to optimize is used to improve the convergence performance of the adaptive algorithm.main tasks as follows:First,study the V2I communication scenarios and adaptive beamforming technology in intelligent transportation,summarize the current research status of the technology,focus on the basic principles and gains of adaptive beamforming technology,and analyze several adaptive beamforming algorithms.A common guideline.Secondly,the classic adaptive algorithms such as LMS and RLS are analyzed and compared.The variable step size LMS algorithm is analyzed and studied.The convergence performance and steady-state error of each algorithm are verified by simulation.At the same time,the artificial fish swarm in the swarm intelligence algorithm The algorithm and the hybrid leapfrog algorithm have done a lot of research and analysis,and the two group intelligent algorithms are implemented separately on the MATLAB simulation platform.Finally,the swarm intelligence algorithm is introduced into the adaptive beamforming algorithm,and a new V2I communication scheme is proposed.In order to solve the problems of convergence speed and steady-state error of the adaptive LMS algorithm,in the adaptive iteration,the swarm intelligence algorithm is used to strengthen the local optimization of each iteration,and the LMS is used to ensure global convergence,thereby achieving efficient training.The improved algorithm was simulated and verified by MATLAB,and compared with the classical LMS,RLS and variable step size LMS algorithms.The results show that the proposed adaptive beamforming algorithm based on swarm intelligence algorithm has a significant performance improvement.