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
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;
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
DOI :
10.1109/CISS.2006.286553
