Title :
Distributed Bayesian signal detection
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 signal detection problem is considered for the case in which distributed sensors are used and a global decision is desired. Local decisions from the sensors are fed to a data fusion center, which yields a global decision based on a fusion rule. A Bayesian formulation of the problem is considered, and a person-by-person optimization of the overall system is carried out. The special case of identical detectors with independent observations is considered as well. An illustrative example is presented
Keywords :
Bayes methods; information theory; signal detection; Bayesian formulation; data fusion center; distributed detection problem; distributed sensors; global decision; hypothesis testing; person-by-person optimization; signal detection problem; Bayesian methods; Circuits and systems; Cost function; Detectors; Helium; Sensor fusion; Sequential analysis; Signal detection; System testing;
Journal_Title :
Information Theory, IEEE Transactions on
