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Passive sonar target localization using a histogram filter with model-derived priors

  • Colin W. Jemmott
  • , R. Lee Culver
  • , N. K. Bose

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

    Abstract

    The histogram filter is a grid-based implementation of a recursive Bayesian estimator, which is derivable from the Bayes' filter. It is applied to passive sonar target localization where the prior distributions for the histogram filter result from acoustic simulations with uncertain environmental parameters. Under certain assumptions the this filter is shown to be able to localize a moving target broadcasting a tonal signal in shallow water using a single hydrophone. The paper concludes with ideas for relaxing these assumptions.

    Original languageEnglish (US)
    Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
    PublisherIEEE Computer Society
    Pages283-287
    Number of pages5
    ISBN (Print)9781424429417
    DOIs
    StatePublished - 2008
    Event42nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2008 - Pacific Grove, CA, United States
    Duration: Oct 26 2008Oct 29 2008

    Publication series

    NameConference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN (Print)1058-6393

    Conference

    Conference42nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2008
    Country/TerritoryUnited States
    CityPacific Grove, CA
    Period10/26/0810/29/08

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Computer Networks and Communications

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