摘要
针对目前智能汽车领域常见导航系统存在的定位精度不够的问题,论文提出一种组合导航系统。该系统基于组合导航原理,采用分散滤波、混合校正以及改进滤波算法等技术,对GPS的导航数据和惯性导航的定位数据进行融合计算,改善了导航系统的定位精度。通过仿真分析表明,该系统输出的定位数据具有比GPS等传统导航系统输出的定位数据更高的精确度。
The foundation of intelligent vehicle＇s safe driving is precise positioning and navigation. However,there is a lack of positioning accuracy in a single navigation system at present. Therefore,in this paper,the integrated navigation system based on GPS and inertial navigation is proposed by further studying the principle of integrated navigation. The navigation system uses distributed filtering,hybrid correction and improved filtering algorithm to calculate the navigation data and inertial navigation data of GPS,and improve the positioning accuracy of the system. The simulation analysis shows that the integrated navigation system can provide more navigation and positioning service than traditional navigation systems such as GPS.
作者
史骏
SHI Jun(Department of Mechanical and Electrical Engineering,Xi＇an Institute of Railway Teehnology,Xi＇an 710026)
出处
《计算机与数字工程》
2018年第8期1487-1490,1547,共5页
Computer & Digital Engineering
基金
国家自然科学基金青年项目"基于驾驶意图的电动汽车电液复合制动协调控制系统研究"(编号:51507013)资助
关键词
组合导航
GPS
惯性导航
卡尔曼滤波
混合校正
integrated navigation
GPS
inertial navigation
ealman filtering
hybrid correction
