Distributed detection over multiple access channels

Ying Lin, Biao Chen, Lang Tong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We address the design of binary local sensor quantizers for decentralized detection over multiple access channels. Our goal is to minimize the error probability at the fusion center using a single snapshot of local observations. Considering both the synchronized and asynchronous transmissions among sensors, we establish the optimality of a likelihood ratio test for both cases. For the case of asynchronous transmissions, to compensate for the unknown fading channel parameters and transmission delays, we propose a structure consisting of a RAKE receiver and a square-law detector. Simulations results are presented to demonstrate effectiveness of the design procedure.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIII541-III544
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Distributed detection
  • Likelihood ratio quantizers
  • Multiple access channel
  • Wireless sensor networks

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Lin, Y., Chen, B., & Tong, L. (2007). Distributed detection over multiple access channels. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. III541-III544). [4217766] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). https://doi.org/10.1109/ICASSP.2007.366736