DocumentCode
3283288
Title
Data Fusion in the Sequential Detection of Change
Author
Burrel, Anthony ; Papantoni-Kazakos, P.
Author_Institution
Comput. Sci. Dept., Oklahoma State Univ., Stillwater, OK
fYear
2006
fDate
22-24 March 2006
Firstpage
675
Lastpage
680
Abstract
We consider independent and identical sensors connected via a fusion center. The objective is detection of a possible change from an initial data generating process to one of a finite set of alternative processes. We state and analyze the problem and state conditions for asymptotic optimality. We clarify some previously published misconceptions in the process.
Keywords
sensor fusion; asymptotic optimality; data fusion; data generating process; fusion center; identical sensor; sequential change detection; Decision support systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems, 2006 40th Annual Conference on
Conference_Location
Princeton, NJ
Print_ISBN
1-4244-0349-9
Electronic_ISBN
1-4244-0350-2
Type
conf
DOI
10.1109/CISS.2006.286553
Filename
4067894
Link To Document