Research On Application Of MUSIC Algorithm Based On FPGA In Vehicle Positioning

The Electronic Toll Collection(ETC)has achieved a national network,and applied in the highway toll system of many provinces and cities.Thus,ETC plays an important role in the transportation charging system.With the development of technology,this method will be widely used in daily life in a variety of vehicle charging scene.Compared with the increasing number of car ownership,the working efficiency of the artificial toll station is relatively backward.The use of automated electronic toll collection system is to improve the efficiency of the charging process to reduce traffic congestion and effective means of the phenomenon.The vehicle positioning system is one of the important components of the ETC system.The application of vehicle positioning system in ETC can optimize the structure of ETC system and improve the performance of ETC system.This paper first introduces the development and current situation of array signal processing technology,and studies the basic principle and mathematical model of super-resolution estimation.In this paper,four algorithms are proposed:the multi-signal location(MUSIC)algorithm,the rotor-invariant(ESPRIT)algorithm and the improved algorithm of the MUSIC algorithm.The Root-MUSIC algorithm,the spatial smoothing MUSIC algorithm.The algorithm is simulated and a new algorithm is proposed,and the algorithm is designed in detail.