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Proceedings Paper

Optimal And Suboptimal Distributed Decision Fusion
Author(s): Stelios C.A Thomopoulos; Dimitri K Bougoulias; Lei Zhang
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Paper Abstract

The problem of decision fusion in distributed sensors system is considered. A parallel sensor configuration is considered in which sensors monitor a common geographical volume and relay their decisions to a fusion center. The fusion center upon reception of the decision is responsible for fusing them into the final decision. Under conditional independence assumption, it is shown that the optimal test that maximizes the probability of detection for a fixed probability of false alarm consists of a Neyman-Pearson Test at the fusion and Likelihood-Ratio Tests st the sensors. Numerical evaluation of the optimal operating points is computationally intensive. Two computationally efficient suboptimal algorithms have been developed. Numerical results from extensive simulation in Rayleigh and Gaussian channels are presented.

Paper Details

Date Published: 9 August 1988
PDF: 5 pages
Proc. SPIE 0931, Sensor Fusion, (9 August 1988); doi: 10.1117/12.946644
Show Author Affiliations
Stelios C.A Thomopoulos, Southern Illinois University (United States)
Dimitri K Bougoulias, Southern Illinois University (United States)
Lei Zhang, Southern Illinois University (United States)


Published in SPIE Proceedings Vol. 0931:
Sensor Fusion
Charles B. Weaver, Editor(s)

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