Distributed detection of a common random signal

Hao Chen, Uri Rogers, Wang Tsang-Yi

Research output: Contribution to journalConference articlepeer-review

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 equation as effective as the centralized case where no local quantization is made. We validate the derived results via numerical Monte Carlo Simulations.

Original languageEnglish
Article number6618608
JournalInternational Symposium on Wireless Personal Multimedia Communications, WPMC
StatePublished - 2013
Event2013 16th International Symposium on Wireless Personal Multimedia Communications, WPMC 2013 - Co-located with Global Wireless Summit 2013 - Atlantic City, NJ, United States
Duration: 24 Jun 201327 Jun 2013

Keywords

  • Dependent Observation
  • Distributed Detection
  • Energy Detector
  • Random Signal

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