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Article
Distributed Detection of a Common Random Signal
16th International Symposium on Wireless Personal Multimedia Communications (WPMC)
  • Hao Chen, Boise State University
  • Uri Rogers, Boise State University
  • Tsang-Yi Wang, National Sun Yat-Sen University
Document Type
Article
Publication Date
6-24-2013
Abstract
We consider the problem of distributed detection of a common random signal. After evaluating the detection performance of the centralized detector, we propose two distributed detectors. Detector 1 employs energy detector at the local sensors and a monotone fusion rule at the fusion center (FC). Detector 2 uses a Sign detector at each local sensor and a two-sided test at the FC. Detector 1 performs better for the somewhat extreme cases where the number of sensors is very small. When the number of sensors is reasonably large, we prove that detector 2 outperforms detector 1 using the Kullback-Leibler divergence (KLD) and Stein's lemma. In fact, for sensor networks with a reasonable number of sensors, the performance of detector 2 is about √ 2/π equation as effective as the centralized case where no local quantization is made. We validate the derived results via numerical Monte Carlo Simulations.
Citation Information
Hao Chen, Uri Rogers and Tsang-Yi Wang. "Distributed Detection of a Common Random Signal" 16th International Symposium on Wireless Personal Multimedia Communications (WPMC) (2013)
Available at: http://works.bepress.com/hao_chen/26/