On the complexity of a simple suboptimal design for Bayesian distributed detection systems

Moshe Kam, Wei Chang, Qiang Zhu

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

Abstract

An analysis and comparison are made of two multisensor multiobservation detection schemes, and their hardware complexity (number of sensors) is discussed. The schemes are a Bayesian optimal parallel-sensor centralized architecture and a suboptimal binary distributed-detection system. The authors demonstrate the tradeoff between performance and hardware complexity and calculate the cost (in terms of hardware units) of the design simplicity which characterizes the suboptimal system. The results are useful for comparing different distributed-sensor detection schemes. It is shown that in the Gaussian case, a high signal-to-noise ratio decentralized system with 2N sensor/detectors performs at least as well as the centralized system with N sensors and a single detector.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherPubl by American Automatic Control Council
Pages2172-2173
Number of pages2
ISBN (Print)0879425652, 9780879425654
DOIs
StatePublished - 1991
Externally publishedYes
EventProceedings of the 1991 American Control Conference - Boston, MA, USA
Duration: Jun 26 1991Jun 28 1991

Publication series

NameProceedings of the American Control Conference
Volume3
ISSN (Print)0743-1619

Other

OtherProceedings of the 1991 American Control Conference
CityBoston, MA, USA
Period6/26/916/28/91

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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