• DocumentCode
    375920
  • Title

    Model-based tracking for autonomous arrays

  • Author

    Porter, Michael B. ; Hursky, Paul ; Tiemann, Christopher O. ; Stevenson, Mark

  • Author_Institution
    Sci. Applications Int. Corp., La Jolla, CA, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    786
  • Abstract
    Over the last 30 years, model-based approaches to array signal processing have evolved considerably to the point where initial skepticism has been replaced by casual acceptance. Still challenges remain. In this work the authors are progressing to a fully autonomous implementation in which all of the processing is done within the array. Target tracks are then passed to the surface using acoustic links. This requirement is a big challenge in that the algorithms must be fast to operate in real-time on modest embedded computers. They also must be robust enough to function without human invention. They describe one approach and its performance in an experimental sea test with a prototype autonomous array
  • Keywords
    acoustic arrays; acoustic signal processing; array signal processing; geophysical signal processing; military systems; oceanographic techniques; sonar arrays; sonar tracking; underwater sound; acoustic location; array signal processing; autonomous array; correlation processing; depth discrimination; lightweight deployable array; marine mammal; measurement technique; military system; model based tracking; model-based localization; ocean; passive array; underwater target; Acoustic arrays; Acoustic testing; Array signal processing; Embedded computing; Predictive models; Prototypes; Robustness; Sea surface; Signal processing algorithms; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS, 2001. MTS/IEEE Conference and Exhibition
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-933957-28-9
  • Type

    conf

  • DOI
    10.1109/OCEANS.2001.968220
  • Filename
    968220