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 :
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