Decentralized detection in wireless sensor networks with channel fading statistics

Bin Liu, Biao Chen

Research output: Chapter in Book/Entry/PoemConference contribution

8 Scopus citations

Abstract

Existing channel aware signal processing design for decentralized detection in wireless sensor networks typically assumes the clairvoyant case, i.e., global information regarding the transmission channels is known at the design stage. In this paper, we consider the distributed detection problem where only the channel fading statistics, instead of the instant channel state information (CSI), is available to the designer. We investigate the design of local decision rules for the following two cases: 1. Fusion center has the instant CSI; 2. Fusion center does not have the instant CSI. We show that, for both cases, the optimal local decision rules that minimize the error probability at the fusion center amount to a likelihood-ratio test (LRT), as in the previous work with known CSI. The proposed approach enables distributed design for a decentralized detection problem.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesIV857-IV860
StatePublished - 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/TerritoryFrance
CityToulouse
Period5/14/065/19/06

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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