• DocumentCode
    2078320
  • Title

    Passive beamforming enhancements in relation to active-passive data fusion

  • Author

    Yocom, Bryan A. ; Yudichak, T.W. ; La Cour, Brian R.

  • Author_Institution
    Appl. Res. Labs., Univ. of Texas at Austin, Austin, TX
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    One goal of active-passive data fusion is to combine the complementary information provided by active and passive sonar sensors to better perform signal processing. Here, investigation is restricted to passive direction of arrival tracking of a single target of interest in the presence of high SNR interferers. Prior information, available in a Bayesian framework, is used to increase track accuracy and decrease computational demand. Comparisons are made to a conventional approach that uses no prior information.
  • Keywords
    array signal processing; direction-of-arrival estimation; maximum likelihood estimation; sensor fusion; active-passive data fusion; passive beamforming enhancements; signal processing; Array signal processing; Bayesian methods; Filtering; Kalman filters; Measurement errors; Signal processing; Sonar detection; Sonar measurements; Target tracking; Underwater tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074430
  • Filename
    5074430