DocumentCode :
3630843
Title :
Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test
Author :
Venugopal V. Veeravalli;Tamer Basar;H. Vincent Poor
Author_Institution :
Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
fYear :
1992
fDate :
6/1/1992 12:00:00 AM
Firstpage :
1177
Lastpage :
1181
Abstract :
A decentralized sequential detection problem is considered in which each one of a set of sensors receives a sequence of observations about the hypothesis. Each sensor sends a sequence of summary messages to the fusion center where a sequential test is carried out to determine the true hypothesis. A Bayesian framework for this problem is introduced, and for the case when the information structure in the system is quasiclassical, it is shown that the problem is tractable. A detailed analysis of this case is presented here.
Keywords :
"Performance evaluation","Sequential analysis","Sensor fusion","Face detection","Dynamic programming","Bayesian methods","Sensor systems","Random variables","Relays","Testing"
Publisher :
ieee
Conference_Titel :
American Control Conference, 1992
Print_ISBN :
0-7803-0210-9
Type :
conf
Filename :
4792281
Link To Document :
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