Distributed detection over multiple access channels

Ying Lin; Biao Chen; Lang Tong

doi:10.1109/ICASSP.2007.366736

Distributed detection over multiple access channels

Ying Lin, Biao Chen, Lang Tong

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

12 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 language	English (US)
Title of host publication	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Pages	III541-III544
DOIs	https://doi.org/10.1109/ICASSP.2007.366736
State	Published - 2007
Event	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States Duration: Apr 15 2007 → Apr 20 2007

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
ISSN (Print)	1520-6149

Other

Other	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/Territory	United States
City	Honolulu, HI
Period	4/15/07 → 4/20/07

Keywords

Distributed detection
Likelihood ratio quantizers
Multiple access channel
Wireless sensor networks

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2007.366736

Cite this

Distributed detection over multiple access channels. / Lin, Ying; Chen, Biao; Tong, Lang.
2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. III541-III544 4217766 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3).

Research output: Chapter in Book/Entry/Poem › Conference contribution

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., 4217766, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 3, pp. III541-III544, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI, United States, 4/15/07. https://doi.org/10.1109/ICASSP.2007.366736

@inproceedings{8209be283ab248c68daccf714c925deb,

title = "Distributed detection over multiple access channels",

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.",

keywords = "Distributed detection, Likelihood ratio quantizers, Multiple access channel, Wireless sensor networks",

author = "Ying Lin and Biao Chen and Lang Tong",

year = "2007",

doi = "10.1109/ICASSP.2007.366736",

language = "English (US)",

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series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",

note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",

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AB - 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.

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KW - Likelihood ratio quantizers

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KW - Wireless sensor networks

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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Y2 - 15 April 2007 through 20 April 2007

ER -

Distributed detection over multiple access channels

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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Cite this