Channel optimized binary quantizers for distributed sensor networks

Biao Chen, Peter K. Willett

Research output: Contribution to journalConference article

6 Scopus citations

Abstract

Distributed binary quantizer design for sensor nets tasked with a hypothesis testing problem is considered in this paper. Allowing for non-ideal transmission channels, we show that under the conditional independence assumption, the optimum binary quantizer, in the sense of minimizing the error probability, should operate on the likelihood ratio (LR) of the local sensor observations. Necessary conditions for optimality are derived to facilitate finding of optimal LRT thresholds through an iterative algorithm. A design example with binary symmetric channels between local sensors and the fusion center is given to illustrate how the results can be applied in sensor signaling design.

Original languageEnglish (US)
Pages (from-to)III845-III848
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - Sep 28 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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