Optimal And Suboptimal Distributed Decision Fusion

Stelios C.A Thomopoulos; Dimitri K Bougoulias; Lei Zhang

doi:10.1117/12.946644

9 August 1988 Optimal And Suboptimal Distributed Decision Fusion

Stelios C.A Thomopoulos, Dimitri K Bougoulias, Lei Zhang

Proceedings Volume 0931, Sensor Fusion; (1988) https://doi.org/10.1117/12.946644
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Stelios C.A Thomopoulos, Dimitri K Bougoulias, and Lei Zhang "Optimal And Suboptimal Distributed Decision Fusion", Proc. SPIE 0931, Sensor Fusion, (9 August 1988); https://doi.org/10.1117/12.946644

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