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自适应卡尔曼滤波器在陆地车辆导航中的应用
引用本文:房建成,申功勋,万德钧.自适应卡尔曼滤波器在陆地车辆导航中的应用[J].北京航空航天大学学报,1999,25(2):235-239.
作者姓名:房建成  申功勋  万德钧
作者单位:1. 北京航空航天大学 宇航学院;
2. 东南大学 仪器科学与工程系
基金项目:航空基础科学基金,江苏省应用基础研究计划项目 
摘    要:建立了车载GPS(Global Positioning System)/DR(Dead-Reckoning)组合导航系统自适应扩展卡尔曼滤波模型及其算法,从而大大提高了车辆导航系统的定位精度.首次提出依据PDOP(位置误差系数)等GPS定位系统的输出参数,自动调整观测噪声协方差阵WTHX]R和系统噪声协方差阵QWT]的大小,从而自适应地调整组合导航系统模型性能的方法,使得模型具有较强的适应性.计算机仿真及实验结果表明应用该模型具有良好的效果.

关 键 词:航位推算法  车辆地面导航系统  组合导航  卡尔曼滤波  GPS  自适应滤波
收稿时间:1997-07-21

Adaptive Extended Kalman Filter Model for Integrated Land Vehicle Navigation system
Fang Jiancheng,Shen Gongxun,Wan Dejun.Adaptive Extended Kalman Filter Model for Integrated Land Vehicle Navigation system[J].Journal of Beijing University of Aeronautics and Astronautics,1999,25(2):235-239.
Authors:Fang Jiancheng  Shen Gongxun  Wan Dejun
Institution:1. Beijing University of Aeronautics and Astronautics,School of Astronautics;
2. Southeast University,Dept. of Instrument Science and Engineering
Abstract:An adaptive extended Kalman filter model and its algorithm for GPS/DR integrated navigation system in land vehicles are proposed.By using the adaptive extended Kalman filter model and algorithm,the positioning accuracy of the vehicular integrated navigation system is greatly improved. An effective method, in which the performance of the model designed for GPS/DR integrated navigation systems can be antomatically regulated by changing the Q and R in terms of the value of PDOP, is firstly presented.The systems can be adapted for different situations of land vehicle navigation, and possesses smart characteristics. The efficiency of the adaptive extended Kalman filter is verified by computer simulation and experimental results.
Keywords:GPS
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