• DocumentCode
    2120576
  • Title

    An underwater target classification scheme based on the acoustic backscatter form function

  • Author

    Abeysekera, Saman S. ; Naidu, Prabhakar S. ; Leung, Yee-Hong ; Lew, Henry

  • Author_Institution
    Australian Telecommun. Res. Inst., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    4
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    2513
  • Abstract
    By using the acoustic scattering form function, a method for classifying underwater spherical shell targets in an open ocean environment is proposed. The resulting backscatter signal from an incident wideband signal is used to illustrate some of the salient scattering features such as mid-frequency enhancement (MFE). A shell classification technique is then developed. An affine transformation of a template form function is used in the classification scheme. It is shown that the proposed scheme is robust against uncertainties in the material properties and noise
  • Keywords
    acoustic wave scattering; backscatter; noise; parameter estimation; pattern classification; sonar signal processing; underwater sound; acoustic backscatter form function; acoustic scattering form function; active sonar; affine transformation; backscatter signal; incident wideband signal; material properties; mid-frequency enhancement; noise; open ocean environment; parameter estimation; shell classification; signal processing; template form function; uncertainties; underwater spherical shell targets; underwater target classification; Acoustic scattering; Australia; Backscatter; Equations; Frequency; Geometry; Material properties; Oceans; Sonar; Underwater acoustics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.681662
  • Filename
    681662