On optimal fusion architecture for a two-sensor tandem distributed detection system

Earnest Akofor, Biao Chen

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

2 Scopus citations

Abstract

The paper revisits the classical problem of determining the optimal communication direction in a two-sensor fusion system. For the problem of signal detection in additive Gaussian noises, the paper attempts to reconcile the difference in existing literature about which sensor ought to serve as the fusion center for optimal detection performance. While there has been no general conclusion as to which direction is preferred for general detection problems, we establish that for the aforementioned Gaussian problem, having the better sensor, i.e., the sensor with higher signal to noise power ratio, serving as the fusion center is preferred for better detection performance. This is true for the cases of both deterministic signal detection and the Gaussian random signal detection.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages129-132
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

Keywords

  • Bayesian decision
  • Communication direction
  • Dependent observations
  • Distributed detection

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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  • Cite this

    Akofor, E., & Chen, B. (2013). On optimal fusion architecture for a two-sensor tandem distributed detection system. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 129-132). [6736832] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736832