DocumentCode :
853898
Title :
A simple solution to the singular linear minimum-variance estimation problem
Author :
Shaked, U. ; Soroka, E.
Author_Institution :
Tel-Aviv University, Tel-Aviv, Israel
Volume :
32
Issue :
1
fYear :
1987
fDate :
1/1/1987 12:00:00 AM
Firstpage :
81
Lastpage :
84
Abstract :
A simple expression is obtained for the transfer function matrix of the minimum-variance estimator for the states of a linear stationary continuous-time right invertible system whose output is measured perfectly. Using the s -domain approach, it is shown that the optimal estimator first finds the driving noise input that achieves, when applied on the minimum-phase image model of the system, an output spectrum which is identical to the measurement spectrum. This input is then applied on a state-space representation of the minimum-phase image to produce the optimal estimate.
Keywords :
State estimation, linear systems; Transfer function matrices; Control theory; Data mining; Face recognition; Kalman filters; Noise measurement; State estimation; Time domain analysis; Transfer functions; White noise; Yield estimation;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1987.1104436
Filename :
1104436
Link To Document :
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