ON RELATIVE PERFORMANCE OF KALMAN AND WIENER FILTERS

被引:13
作者
SINGER, RA
FROST, PA
机构
[1] Hughes Aircraft Company, Fullerton, Calif.
[2] Department of Electrical Engineering, Stanford University, Stanford, Calif.
关键词
D O I
10.1109/TAC.1969.1099197
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Upper and lower bounds on the error covariance matrices of the Kalman and Wiener filters for linear finite state time-invariant system are derived. These bounds yield a measure of the relaitive estimation accuracy of these filters and provide a practical tool for determining when the implementational complexity of a Kalman filter can be justified. The calculation of these bounds requires little more than the determination of the corresponding Wiener filter. Copyright © 1969 by The Institute of Electrical and Electronics Engineers, Inc.
引用
收藏
页码:390 / &
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