Title :
Decentralized Bayesian detection with feedback
Author :
Varshney, Pramod K.
fDate :
7/1/1996 12:00:00 AM
Abstract :
A decentralized detection system with feedback and memory using the Bayesian formulation is investigated. The optimization of this system results in a likelihood ratio test at the local detectors for statistically independent observations. In addition, local detector thresholds and the system probability of error are shown to be a function of the fed back global decision. The issue of data transmission between local detectors and the fusion center is addressed. Two protocols are proposed and studied to reduce data transmissions. Numerical examples are also presented for illustration
Keywords :
Bayes methods; data communication; feedback; optimisation; sensor fusion; signal detection; Bayesian formulation; data transmission; decentralized Bayesian detection; feedback; fusion center; likelihood ratio test; local detector thresholds; statistically independent observations; system error probability; Bayesian methods; Data communication; Detectors; Feedback; Network topology; Probability density function; Protocols; System performance; System testing; Yttrium;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.508830
