DocumentCode :
932862
Title :
Asymptotic stability of the MMSE linear filter for systems with uncertain observations (Corresp.)
Author :
Tugnait, Jitendra K.
Volume :
27
Issue :
2
fYear :
1981
fDate :
3/1/1981 12:00:00 AM
Firstpage :
247
Lastpage :
250
Abstract :
Sufficient conditions for uniform asymptotic stability in the large of the optimal minimum mean-square error (MMSE) linear filter are developed for discrete linear systems whose observations may contain noise alone and where only the probability of occurrence of such cases is known to the estimator. Conditions for existence, uniqueness, and stability of the steady-state optimal filter are also considered for the case when the system is time-invariant.
Keywords :
Asymptotic stability; Least-squares estimation; Linear systems; State estimation; Asymptotic stability; Cities and towns; Linear systems; Nonlinear filters; Robustness; State estimation; Steady-state; Sufficient conditions; Testing; Wiener filter;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1981.1056315
Filename :
1056315
Link To Document :
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