DocumentCode
805816
Title
A necessary condition for effective performance of the multiple model adaptive estimator
Author
Caputi, M.J.
Author_Institution
Dept. of Eng., Hofstra Univ., Hempstead, NY
Volume
31
Issue
3
fYear
1995
fDate
7/1/1995 12:00:00 AM
Firstpage
1132
Lastpage
1139
Abstract
Effective adaptive estimation for a general linear system driven by an input modeled by a randomly switching Gaussian process is considered. The performance of the multiple model adaptive estimator (MMAE) is, in some cases, unexpectedly hampered by a necessary condition not satisfied by the linear system. This key dependency for effective MMAE performance is based on a particular property of the DC gain of the linear system
Keywords
Gaussian processes; adaptive Kalman filters; adaptive estimation; adaptive signal processing; DC gain; effective performance; general linear system; linear system; multiple model adaptive estimator; randomly switching Gaussian process; Adaptive algorithm; Adaptive estimation; Adaptive filters; Gaussian noise; Gaussian processes; Linear systems; Parallel processing; Performance gain; Random processes; State estimation;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.395229
Filename
395229
Link To Document