DocumentCode
846075
Title
Recursive algorithms for linear LMSE estimators under uncertain observations
Author
Wang, Xingde
Author_Institution
409-8 Assiniboine Rd., Dawnsview, Ontario, Canada
Volume
29
Issue
9
fYear
1984
fDate
9/1/1984 12:00:00 AM
Firstpage
853
Lastpage
854
Abstract
Hadidi and Schwartz [1] proposed a recursive linear estimator algorithm for linear discrete-time systems under uncertain observations when it exists. In this note two sets of formulas for the optimal filter and one-step predictor under uncertain observations, when they exist, are derived. These formulas differ, to some extent, from those proposed in [1].
Keywords
Least-mean-square methods; Recursive estimation; State estimation, linear systems; Covariance matrix; Equations; Linear systems; Nonlinear filters; Probability; Random variables; Recursive estimation; Statistics; Vectors;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1984.1103655
Filename
1103655
Link To Document