DocumentCode
813774
Title
Optimal observations for minimum variance filtering
Author
Pliska, Stanley R.
Author_Institution
Northwestern University, Evanston, IL, USA
Volume
19
Issue
1
fYear
1974
fDate
2/1/1974 12:00:00 AM
Firstpage
79
Lastpage
80
Abstract
Consider optimal filtering for a linear, discrete-time, dynamical system with scaler state xk and observation variance nk1 at time tk . Then the error variance
corresponding to the minimum-variance estimate of xk given the observations through tj ,
, is a convex function of (n1 . . .,nj ) on the nonnegative orthant of Ri.
corresponding to the minimum-variance estimate of x
, is a convex function of (nKeywords
Linear systems, time-varying discrete-time; State estimation; Costs; Difference equations; Filtering; Kalman filters; Linear systems; Nonlinear filters; Resource management;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1974.1100472
Filename
1100472
Link To Document