DocumentCode
3269658
Title
Decentralized Bayesian sequential detection under uniformly distributed observations
Author
Lee, Ji-Woong
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume
4
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
4772
Abstract
We consider a couple of decentralized Bayesian sequential detection problems: the information structure of one is static, and that of the other is dynamic. Explicit member-by-member optimal solutions are derived under the assumption that the observations are uniformly distributed conditioned on each hypothesis. The resulting sequential detection rules are the same as those of analogous optimal centralized detectors.
Keywords
Bayes methods; fault diagnosis; optimisation; sequential estimation; signal detection; decentralized Bayesian sequential detection; dynamic information structure; member by member optimal solutions; optimal centralized detectors; sequential detection rules; static information structure; uniformly distributed observations; Bandwidth; Bayesian methods; Cost function; Decision making; Detectors; Dynamic programming; Equations; Information analysis; Large-scale systems; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1185134
Filename
1185134
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