Source detection and localization using a multi-mode detector: A Bayesian approach

Douglas Cochran, Dana Sinno, Axel Clausen

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Abstract

This paper considers a class of detection/localization problems in which the detector offers multiple operating modes. The modes differ in their detection performance and geographical coverage: `focused' modes offer higher detection performance but less coverage area than `broad search' modes. It is assumed that a signal source is to be detected and localized using a sequence of tests, each possibly employing a different mode. The goal is to determine a strategy for mode selection in the sequence of tests that will yield optimal payoff in terms of a pre-established criterion. A mathematical model capturing the key characteristics of this situation is proposed and used to develop optimal mode selection strategies.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages1173-1176
Number of pages4
Volume3
StatePublished - 1999
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: Mar 15 1999Mar 19 1999

Other

OtherProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99)
CityPhoenix, AZ, USA
Period3/15/993/19/99

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ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Cochran, D., Sinno, D., & Clausen, A. (1999). Source detection and localization using a multi-mode detector: A Bayesian approach. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 3, pp. 1173-1176). IEEE.