Adaptive Two-Stage Kalman Filter in the Presence of Random Bias

被引：0
|
作者：
Hu Yi-ming [1 ]
Qin Yong-yuan [1 ]
机构：
[1] Northwestern Polytech Univ, Coll Automat, Xian, Peoples R China
来源：
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6 | 2010年
关键词：
Two-stage Kalman estimation; random bias; adaptive Kalman filter;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The two-stage Kalman fdter requires the accurate information of unknown random bias. Unfortunately, this algebraic constraint is seldom satisfied for practical systems. The adaptive solution of estimating a set of dynamic state in the presence of a random bias employing a two-stage Kalman estimator is addressed. The solution performed well when the information of unknown random bias was inaccurate. The validity of the solution is verified with a simulative example.
引用
收藏
页码：135 / 138
页数：4
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