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
相关论文
共 9 条
[1]  
Alouani A. T., 1991, P 30 C DEC CONTR BRI
[2]  
Chen Liang, 2004, 2004 8 INT C CONTR A
[3]  
FRIEDLAND BERNARD, 1969, T AUTOMATIC CONTROL, VAC-4, P359
[4]  
Hsieh Chien-Shu, IEEE T AUTOMATIC CON, V45, P819
[5]  
Hsieh CS, 1995, PROCEEDINGS OF THE 34TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, P1532, DOI 10.1109/CDC.1995.480355
[6]  
Kusov H. T., 1984, OPTIMIZATIONAL FILTE, P166
[7]  
Qin Y. Y., 1998, KALMAN FILTER INTEGR
[8]  
XI Yang Yuan, 2006, ADAPTIVE NAVIGATION
[9]  
Yue Liu, 1995, J HARBIN I TECHNOLOG, V16, P105