DocumentCode
894912
Title
Distributed Bayesian signal detection
Author
Hoballah, Imad Y. ; Varshney, Pramod K.
Author_Institution
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Volume
35
Issue
5
fYear
1989
fDate
9/1/1989 12:00:00 AM
Firstpage
995
Lastpage
1000
Abstract
The signal detection problem is considered for the case in which distributed sensors are used and a global decision is desired. Local decisions from the sensors are fed to a data fusion center, which yields a global decision based on a fusion rule. A Bayesian formulation of the problem is considered, and a person-by-person optimization of the overall system is carried out. The special case of identical detectors with independent observations is considered as well. An illustrative example is presented
Keywords
Bayes methods; information theory; signal detection; Bayesian formulation; data fusion center; distributed detection problem; distributed sensors; global decision; hypothesis testing; person-by-person optimization; signal detection problem; Bayesian methods; Circuits and systems; Cost function; Detectors; Helium; Sensor fusion; Sequential analysis; Signal detection; System testing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.42208
Filename
42208
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