Estimation of Geoacoustic Properties in the South China Sea Shelf Using a Towed Source and Vertical Line Hydrophone Array

Abstract

Linear sound sweeps from a towed J15-3 sound source were collected at a moored VLA hydrophone array in the South China Sea during the ASIAEX experiment in May 2001. Measured signals were filtered and pulse compressed. The processed data showed a high signal to noise ratio. Given an a priori chirp sonar survey, a two layer bottom first guess model was constructed. A broadband coupled-mode model was used to perform an exhaustive frequency variant sensitivity study of VLA pressures to changes in bottom properties as a basis for the geoacoustic inverse problem. Study results provided information on the observability of the various geoacoustic parameters and a procedure for the inversion. Matched field processing of the VLA data, using the same coupledmode model, was then performed to calculate ambiguity diagrams from which geoacoustic parameter estimates were obtained. Since VLA pressure fields were not sensitive to changes in the sediment attenuation coefficient, a matched field technique that correlated the slope of modeled transmission loss to the negative slope of 10log of the observed energy was performed in order to obtain estimates of the attenuation. These estimates showed a frequency dependent attenuation coefficient in the 50-600Hz frequency band.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA429832

Entities

People

  • John M. Marburger

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Properties
  • Acoustics
  • Ambiguity
  • Attenuation
  • Bandwidth
  • Broadband
  • California
  • Chirp Sonar
  • Coefficients
  • Frequency
  • Frequency Bands
  • Inversion
  • Losses
  • Oceans
  • Transmission Loss
  • United States
  • United States Naval Academy

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.