DocumentCode
818018
Title
Discrete Kalman filtering using a generalized companion form
Author
Luo, Z. ; Bullock, T.E.
Author_Institution
University of Florida, Gainesville, Florida, USA
Volume
20
Issue
2
fYear
1975
fDate
4/1/1975 12:00:00 AM
Firstpage
227
Lastpage
230
Abstract
For an
th-order constant system with
outputs, this short paper shows that the Kalman filter gain can be described by
difference equations instead of the usual
difference equations. This is the minimum number of difference equations required for the solution of the Kalman filter gain. For the special case of stationary processes, this short paper further shows that only
combinations of the system noise covariance enter into determination of the Kalman filter gain. The results have application in filtering and in the quadratic regulator problems.
th-order constant system with
outputs, this short paper shows that the Kalman filter gain can be described by
difference equations instead of the usual
difference equations. This is the minimum number of difference equations required for the solution of the Kalman filter gain. For the special case of stationary processes, this short paper further shows that only
combinations of the system noise covariance enter into determination of the Kalman filter gain. The results have application in filtering and in the quadratic regulator problems.Keywords
Companion matrices; Kalman filtering; Linear systems, stochastic discrete-time; State estimation; Covariance matrix; Difference equations; Feedback; Filtering; Kalman filters; Observability; Random variables; Regulators; Riccati equations; Stochastic systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1975.1100893
Filename
1100893
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