DocumentCode
805781
Title
Optimal m-ary data fusion with distributed sensors
Author
Baek, W.
Author_Institution
Dept. of Industrial Eng., Mississippi State Univ., MS
Volume
31
Issue
3
fYear
1995
fDate
7/1/1995 12:00:00 AM
Firstpage
1150
Lastpage
1152
Abstract
An optimal data fusion rule is derived for an m-ary detection problem. Each detector determines a local decision using a local decision rule and transmits the local decision to the fusion center. Considering the reliability of local detectors, local decisions are combined to produce the final decision. In this study, based upon the maximum posterior probability concept, optimal decision rules for m-ary detection problems are proposed for the local detector and the data fusion center
Keywords
decision theory; optimisation; probability; reliability; sensor fusion; signal detection; data fusion center; distributed sensors; fusion center; local decision; local decisions; local detector; local detectors; m-ary detection; maximum posterior probability; optimal decision rules; optimal m-ary data fusion; reliability; Bayesian methods; Costs; Detectors; Object recognition; Robustness; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Telecommunication traffic; Testing;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.395226
Filename
395226
Link To Document