DocumentCode
2904897
Title
A non-Markov finite dimensional filter
Author
Elliott, Robert J. ; Sworder, David D. ; Taylor, Thomas J.
Author_Institution
Dept. of Stat. & Appl. Probability, Alberta Univ., Edmonton, Alta., Canada
fYear
1991
fDate
4-6 Nov 1991
Firstpage
180
Abstract
The state space of a general, not necessarily Markov, finite state space process is identified with the set of unit vectors in an Euclidean space. A filtering problem is considered where the observation process records only jumps between certain subsets of the states. A recursive equation for the filtered estimate of the state is obtained. If the transition rates are measurable with respect to the observations this filter is finite dimensional. The corresponding Zakai equation is also derived
Keywords
filtering and prediction theory; Euclidean space; Zakai equation; filtered estimate; finite state space process; nonMarkov finite dimensional filter; observation process; recursive equation; transition rates; unit vectors; Equations; Filters; Mathematics; Probability; Recursive estimation; State estimation; State-space methods; Statistics; Time measurement; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-2470-1
Type
conf
DOI
10.1109/ACSSC.1991.186437
Filename
186437
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