Title :
Optimal m-ary data fusion with distributed sensors
Author_Institution :
Dept. of Industrial Eng., Mississippi State Univ., MS
fDate :
7/1/1995 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
