DIVERGENCE OF THE STATIONARY KALMAN FILTER FOR CORRECT AND FOR INCORRECT NOISE VARIANCES

被引:15
|
作者
WILLEMS, JL
CALLIER, FM
机构
[1] STATE UNIV GHENT,FAC ENGN,B-9000 GENT,BELGIUM
[2] FAC UNIV NAMUR,DEPT MATH,B-5000 NAMUR,BELGIUM
关键词
D O I
10.1093/imamci/9.1.47
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The convergence properties of the estimation error covariance for the Kalman filter are analysed. Criteria are derived for convergence or divergence of the estimation error if the time-invariant Kalman filter is used, possibly designed for incorrect noise data. The analysis uses recently developed convergence results for the solution of the matrix Riccati differential equation.
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页码:47 / 54
页数:8
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