DocumentCode
805524
Title
Linear optimal estimation with state dependent disturbances and time-correlated measurement noise
Author
McLane, P.
Author_Institution
Queen´s University, Kingston, Ontario, Canada
Volume
16
Issue
2
fYear
1971
fDate
4/1/1971 12:00:00 AM
Firstpage
198
Lastpage
200
Abstract
The linear filtering, prediction, and smoothing problems are treated for linear message processes with state-dependent noise and time-correlated measurement noise. In particular, a general smoothing formula for these classes of message processes is developed. The derivation evolves directly from the Wiener-Hopf equation and does not use the innovations process.
Keywords
Estimation; Linear systems, stochastic continuous-time; Smoothing methods; Wiener-Hopf theory; Covariance matrix; Differential equations; Electrons; Kalman filters; Noise measurement; Smoothing methods; State estimation; Stochastic resonance; Technological innovation; Vectors;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1971.1099670
Filename
1099670
Link To Document