An Approach to the Design of Distributed Bayesian Detection Structures

W. A. Hashlamoun, P. K. Varshney

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


A computationally efficient approach to the design of decentralized Bayesian detection systems is presented. This procedure is based upon an alternate representation of the minimum average cost in terms of a modified form of the Kolmogorov variational distance. The utility of the approach is demonstrated by applying it to the design and performance evaluation of three decentralized detection structures. In all these structures, the design of the optimum systems reduces to the optimization of a single function of a certain number of variables. Numerical examples are presented for illustration.

Original languageEnglish (US)
Pages (from-to)1206-1211
Number of pages6
JournalIEEE Transactions on Systems, Man and Cybernetics
Issue number5
StatePublished - 1991

ASJC Scopus subject areas

  • General Engineering


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