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Distributed Bayesian signal detection

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2 Author(s)
I. Y. Hoballah ; Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA ; P. K. Varshney

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

Published in:

IEEE Transactions on Information Theory  (Volume:35 ,  Issue: 5 )