Optimal strategies for distributed detection over multiaccess channels

Feng Li, Jamie Scott Evans

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

18 Citations (Scopus)

Abstract

In this paper, we consider the problem of distributed detection with binary sensors over a noisy multiaccess channel. Under the assumption of conditionally independent sensor observations, we investigate the optimal decision regions at the fusion centre. For a special case, it is shown that the optimal fusion rule can be reduced to a simple threshold test on the signal received by the fusion centre. We will demonstrate that the traditional amplitude-scaling approach to satisfy the power constraint is suboptimal. With a given power budget, a solution featuring in the joint optimization of the local mapping rule and the fusion rule is proposed and is shown to lead to a gain in performance.
Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
EditorsTulay Adali, Bhaskar Rao
Place of PublicationNew York NY USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2417 - 2420
Number of pages4
Volume1-12
ISBN (Print)9781424414833
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech and Signal Processing 2008 - Las Vegas, United States of America
Duration: 31 Mar 20084 Apr 2008
https://ieeexplore.ieee.org/xpl/conhome/4505270/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing 2008
Abbreviated titleICASSP 2008
CountryUnited States of America
CityLas Vegas
Period31/03/084/04/08
Internet address

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