DocumentCode
820002
Title
A lower bound on the estimation error for Markov processes
Author
Bobrovsky, Ben Zion ; Zakai, Moshe
Author_Institution
Tel-Aviv University, Tel-Aviv, Israel
Volume
20
Issue
6
fYear
1975
fDate
12/1/1975 12:00:00 AM
Firstpage
785
Lastpage
788
Abstract
A lower bound on the minimal mean-square error in estimating nonlinear Markov processes is presented. The bound holds for causal and uncausal filtering. The derivation is based on the Van Trees´ version of the Cramér-Rao inequality.
Keywords
Estimation; Markov processes; Nonlinear systems, stochastic; Stochastic systems, nonlinear; Artificial intelligence; Cramer-Rao bounds; Estimation error; Filtering; Gaussian processes; Markov processes; Matrices; Nonlinear equations; Nonlinear filters; White noise;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1975.1101088
Filename
1101088
Link To Document