• DocumentCode
    3249324
  • Title

    A Matched Subspace Approach to Depth Discrimination in a Shallow Water Waveguide

  • Author

    Premus, V.E. ; Backman, Daniel

  • Author_Institution
    Ocean Acoust. Services & Instrum. Syst. Inc., Lexington
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    1272
  • Lastpage
    1276
  • Abstract
    An application of the Scharf-Friedlander matched subspace detector [1] to the problem of trapped mode subspace discrimination in shallow water acoustics is investigated. The "trapping" of low order modes below the thermocline in a downward refracting shallow channel has been shown to be useful to a class of physics-based sonar discrimination algorithms [2]. It will be shown that by applying a subspace orthogonalization step to a suitably rank-reduced normal mode subspace model, an optimum "trapped" subspace discrimination algorithm is possible even when the trapped and non-trapped subspaces exhibit significant overlap. Data results illustrating performance improvement over a previous sub-optimum LRT implementation that ignored subspace overlap for a shallow water, thinned-VLA case will be shown.
  • Keywords
    acoustic arrays; acoustic waveguides; Scharf-Friedlander matched subspace detector; depth discrimination; downward refracting shallow channel; optimum trapped subspace discrimination algorithm; physics-based sonar discrimination algorithms; rank-reduced normal mode subspace model; shallow water acoustics; shallow water waveguide; subspace orthogonalization; thinned vertical line array; Acoustic refraction; Acoustic signal detection; Adaptive signal detection; Apertures; Eigenvalues and eigenfunctions; Light rail systems; Signal detection; Sonar; Transmission line matrix methods; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487430
  • Filename
    4487430