Distributed Bayesian signal detection |
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Authors: | Hoballah IY Varshney PK |
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Affiliation: | Dept. of Electr. & Comput. Eng., Syracuse Univ., NY; |
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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 |
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