基于卡尔曼滤波的汽车航迹推算定位系统研究  

Design of Vehicle Positioning System Based on GPS Dead Reckoning Technology

作　　者：揭琳锋 汤梓恒 周伟伟[1] Jie Linfeng;Tang Ziheng;Zhou Weiwei(School of Traffic Engineering,Yangzhou Polytechnic Institute,Yangzhou 225217,Jiangsu,China)

机构地区：[1]扬州工业职业技术学院交通工程学院,江苏省扬州市225217

出　　处：《农业装备与车辆工程》2023年第2期86-89,共4页Agricultural Equipment & Vehicle Engineering

摘　　要：为了解决卫星定位系统在信号盲区的汽车定位及航迹服务,利用融合多级卡尔曼滤波算法,开展GPS/DR转换算法的研究。建立了基于卡尔曼滤波的汽车定位系统航迹推算算法,搭建了全球卫星定位系统(GPS)和航迹推算(DR)系统相互配合的组合导航系统。通过MATLAB软件进行算法仿真分析,证明了该算法及系统可以实现车辆在丢失GPS信号后短时间内仍然能够进行自主定位,并能对行驶轨迹进行分析处理。In order to solve the problem of Global Positioning System vehicle positioning and track service in the signal blind area,the research of GPS DR Conversion Algorithm is carried out by using the fusion multi-level Kalman filter algorithm.The algorithm of dead reckoning for vehicle positioning system based on Kalman filter is established and the integrated navigation system of Global Positioning System and dead reckoning(DR)system is constructed.Through MATLAB simulation analysis,it’s verified that the algorithm and the system can realize the vehicle’s autonomous localization in the short time after losing the GPS signal,and can carry on the analysis processing to the traveling path.

关 键 词：航迹推算(DR) 卫星定位系统(GPS) 卡尔曼滤波 融合算法 

分 类 号：U463.6[机械工程—车辆工程] TP391.41[交通运输工程—载运工具运用工程]