Title :
An information theoretic approach to the distributed detection problem
Author :
Hoballah, Imad Y. ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
fDate :
9/1/1989 12:00:00 AM
Abstract :
The distributed detection problem is considered from an information-theoretic point of view. An entropy-based cost function is used for system optimization. This cost function maximizes the amount of information transfer between the input and the output. Distributed detection system topologies with and without a fusion center are considered, and an optimal fusion rule and optimal decision rules are derived
Keywords :
information theory; signal detection; distributed detection problem; entropy-based cost function; fusion center; information theoretic approach; minimum equivocation detection; optimal decision rules; optimal fusion rule; system optimization; Bayesian methods; Cost function; Decision theory; Detectors; Information theory; Robustness; Sensor fusion; Sensor systems; Telephony; Topology;
Journal_Title :
Information Theory, IEEE Transactions on
