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
-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.
-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