Volume 25, Issue 2 (1-2007)
2007, 25(2): 1-10 |
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G. Mirjalily, H. Hossieni, and A. Sheikhi. Optimum Local Decision Rules in a Distributed Detection System with Dependent Observations. Journal of Advanced Materials in Engineering (Esteghlal) 2007; 25 (2) :1-10
URL: http://jame.iut.ac.ir/article-1-388-en.html
URL: http://jame.iut.ac.ir/article-1-388-en.html
Abstract: (6224 Views)
The theory of distributed detection is receiving a lot of attention. A common assumption used in previous studies is the conditional independence of the observations. In this paper, the optimization of local decision rules for distributed detection networks with correlated observations is considered. We focus on presenting the detection theory for parallel distributed detection networks with fixed fusion rules to develop a numeric algorithm based on Neyman-Pearson criterion. Simulation results are
presented to demonstrate the efficiency and convergence properties of the algorithm.
Keywords: Distributed Detection, Detection Networks, Dependent observations, Optimum Decision making, Neyman – Peatson criterion
