A two-level distributed multiple hypothesis decision system

Author

Drakopoulos, E. ; Chao, J.J. ; Lee, C.C.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Nortwestern Univ., Evanston, IL, USA

Volume

37

Issue

3

fYear

1992

fDate

3/1/1992 12:00:00 AM

Firstpage

380

Lastpage

384

Abstract

A two-level distributed decision system consisting of a number of local decision makers (LDMs) connected to a global decision maker (GDM) is considered. The LDMs share a common M-hypothesis testing problem, have their own observations independent of each other, and employ likelihood ratios for their decision making. Each LDM transmits its inference to the GDM where the final decision is derived. The local inferences consist of the ranking of the candidate hypotheses and a degree of confidence based on likelihood ratios. Using a maximum distance criterion, the optimum confidence-based subpartitioning of local decision space is studied. It is shown that the presented system can greatly outperform one in which LDM provides a single-hypothesis hard decision and can perform nearly as well as the optimum centralized system

Keywords

decision theory; statistical analysis; M-hypothesis testing problem; degree of confidence; global decision maker; likelihood ratios; local decision makers; local decision space; maximum distance criterion; optimum confidence-based subpartitioning; single-hypothesis hard decision; statistical analysis; statistical inference; two-level distributed multiple hypothesis decision system; Bandwidth; Chaotic communication; Decision making; Detectors; Distributed decision making; Military communication; Sensor fusion; Sensor systems; Surveillance; Testing;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.119643

Filename

119643