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车载GPS/DR组合导航系统的研究
引用本文:郑平方,常青,张其善,柳重堪.车载GPS/DR组合导航系统的研究[J].北京航空航天大学学报,1999,25(5):513-516.
作者姓名:郑平方  常青  张其善  柳重堪
作者单位:北京航空航天大学 电子工程系
摘    要:介绍了车载GPS(Global Positioning System)/DR(Dead Reckoning)组合导航系统的设计,在对GPS/DR组合导航系统中主要误差来源分析的基础上,建立了表示这些误差的数学模型.根据组合系统的数据融合原理,提出一种基于对观测量进行误差补偿的迭代扩展组合卡尔曼滤波算法.对车载GPS/DR组合导航系统提供的实际数据的处理结果表明,该算法在提高GPS定位精度的情况下,能很好地修正DR系统的积累误差,大大提高了组合系统的完整性、可靠性.

关 键 词:航位推算法  组合导航  卡尔曼滤波  全球定位系统
收稿时间:1998-04-29
修稿时间:: 1998-04-29

Study of GPS/DR Integrated Navigation System for Vehicle
Zheng Pingfang,Chang Qing,Zhang Qishan,Liu Zhongkan.Study of GPS/DR Integrated Navigation System for Vehicle[J].Journal of Beijing University of Aeronautics and Astronautics,1999,25(5):513-516.
Authors:Zheng Pingfang  Chang Qing  Zhang Qishan  Liu Zhongkan
Institution:Beijing University of Aeronautics and Astronautics,Dept. of Electronic Engineering
Abstract:The design of the GPS/DR integrated navigation system is presented and the main error sources which affect the GPS/DR system position accuracy are also analyzed. A mathematical model is founded to represent these main errors and an extended,iterated and federated Kalman filter algorithm is propounded which is based on compensating for some observation errors according to the principle of data fusion of the GPS/DR integrated system for vehicle. The Experimental results demonstrate that this filter algorithm can improve the positioning accuracy of the GPS system , correct the accumulating error of the DR system at the same time, and enhance the GPS/DR integrated system reliability and integrity greatly.
Keywords:dead reckoning  integrated navigation  Kalman filter  global position system
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