Application of Adaptive Kalman Filtering Algorithm in IMU/GPS Integrated Navigation System

被引：0
|
作者：
GAO Weiguang YANG Yuanxi CUI Xianqiang ZHANG Shuangcheng Institute of Surveying and Mapping
机构：
来源：
Geo-spatial Information Science | 2007年 / 01期
基金：
中国国家自然科学基金;
关键词：
integrated navigation; adaptive filtering; fading filtering; the earth fixed coordinates;
D O I：
暂无
中图分类号：
P228.4 [全球定位系统（GPS）];
学科分类号：
081105 ; 0818 ; 081802 ;
摘要：
The IMU(inertial measurement unit) error equations in the earth fixed coordinates are introduced firstly. A fading Kalman filtering is simply introduced and its shortcomings are analyzed, then an adaptive filtering is applied in IMU/GPS integrated navigation system, in which the adaptive factor is replaced by the fading factor. A practical example is given. The results prove that the adaptive filter combined with the fading factor is valid and reliable when applied in IMU/GPS integrated navigation system.
引用
收藏
页码：22 / 26
页数：5
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