DocumentCode
802416
Title
On the covariance of the steady-state filter predictor and smoother
Author
Rome, H.
Author_Institution
Dynamics Research Corporation, Wilmington, MA, USA
Volume
15
Issue
1
fYear
1970
fDate
2/1/1970 12:00:00 AM
Firstpage
122
Lastpage
123
Abstract
The pertinent algorithms are developed for determining the steady-state covariance matrices associated with continuous measurement Kalman filtering, prediction, and smoothing of time-invariant systems. The formulas represent closed-form solutions to the problem as opposed to recursively derived asymptotic solutions. They can be used as a single unified set of algorithms.
Keywords
Kalman filtering; Linear systems, time-invariant continuous-time; Colored noise; Covariance matrix; Filtering algorithms; Kalman filters; Noise measurement; Riccati equations; Smoothing methods; State estimation; Steady-state; White noise;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1970.1099377
Filename
1099377
Link To Document