• DocumentCode
    407237
  • Title

    High-frequency acoustic inversion using a military mine-hunting sonar

  • Author

    Bentrem, Frank W. ; Sample, John ; Bibee, Dale ; Harris, Mike ; Avera, Will

  • Author_Institution
    Naval Res. Lab., MS, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    22-26 Sept. 2003
  • Abstract
    Summary form only given. Because the AQS-20´s Volume Search Sonar (VSS) contains multiple beams at a number of grazing angles, the NRL Sediment Mapping System can be used to invert the backscattered acoustic signal for seafloor sediment parameters. Backscattering strength is computed for each beam and averaged over several pings. A physical backscatter model that predicts backscattering strength as a function of grazing angle is used with a simulated annealing inversion to find the model parameters. This paper discusses the inversion results using VSS data from a test off the coast of Panama City, Florida. The analysis results include sediment-water density ratio, bottom relief spectral strength (roughness parameter), and a volume interaction parameter. From these model parameters, we estimate mean grain size and root-mean square interface roughness. The sediment-water density ratios from the inversion are compared with the solutions from another NRL bottom classification system using a normal incidence impedance-based inversion technique.
  • Keywords
    oceanographic techniques; seafloor phenomena; sediments; sonar imaging; underwater sound; AQS-20; Florida; NRL Sediment Mapping System; NRL bottom classification system; Panama City; USA; VSS; Volume Search Sonar; annealing inversion; backscattered acoustic signal; bottom relief spectral strength; grazing angle function; high-frequency acoustic inversion; impedance-based inversion technique; mean grain size; military mine-hunting sonar; physical backscatter model; root-mean square interface roughness; roughness parameter; seafloor sediment parameter; sediment-water density ratio; volume interaction parameter; Acoustic beams; Backscatter; Computational modeling; Military computing; Predictive models; Sea floor; Sediments; Signal mapping; Sonar; Variable structure systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2003. Proceedings
  • Conference_Location
    San Diego, CA, USA
  • Print_ISBN
    0-933957-30-0
  • Type

    conf

  • DOI
    10.1109/OCEANS.2003.178067
  • Filename
    1282581