• DocumentCode
    287930
  • Title

    Acoustic modelling in SOFAR: application to interpretation of GASTOM 90

  • Author

    George, T. ; Mechler, P. ; Stephan, Yann

  • Author_Institution
    Mothesim, Le Plessis-Robinson, France
  • Volume
    2
  • fYear
    1994
  • fDate
    13-16 Sep 1994
  • Abstract
    High frequency acoustic propagation in SOFAR gives complex systems of caustics at large distance. So the classical high frequency techniques, like geometrical optics, must be used with care. The Gaussian beam summation method is a high frequency approximation which remains valid in the vicinity of the caustics. The authors´ purpose is to show the possibility of this method for underwater acoustic propagation. An application for acoustic analysis of GASTOM 90 experiment is done. The sound velocity distribution is simulated from the experimental sound speed profiles to obtain conditions closely related to Gastom 90. The authors assumed that the propagation medium is smooth, deterministic and the medium is well defined by horizontal samples of experimental profiles. The acoustic signal is modified when they take in account range dependence for the velocity distribution
  • Keywords
    oceanographic techniques; oceanography; underwater sound; GASTOM 90; Gaussian beam summation method; SOFAR; acoustic modelling; acoustic velocity; acoustics; caustics; high frequency approximation; large distance; measurement technique; model; ocean underwater sound propagation; range dependence; sonar; sound velocity distribution; Acoustic applications; Acoustic beams; Acoustic propagation; Acoustic waves; Content addressable storage; Frequency; Gaussian approximation; Geometrical optics; Optical propagation; Underwater acoustics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
  • Conference_Location
    Brest
  • Print_ISBN
    0-7803-2056-5
  • Type

    conf

  • DOI
    10.1109/OCEANS.1994.364117
  • Filename
    364117