Geoacoustic Inversion in Laterally Varying Shallow-Water Environments Using High-Resolution Wavenumber Estimation

Abstract

An experimental method for extracting horizontal wavenumber spectra for point-source acoustic fields in laterally varying shallow water waveguides is discussed. The experiment was designed to provide input data for a perturbative inversion method for inferring the geoacoustic properties of the bottom. The input data are discrete values of horizontal wavenumbers that correspond the propagating modes in a shallow-water waveguide. Based on the asymptotic Hankel transform pair relationship between the complex pressure field and the depth-dependent Green's function, a high-resolution autoregressive (AR) spectral estimator is applied to extract wavenumber content. The estimator is characterized in terms of it performance on short-aperture noisy data. The estimator is then used on short-aperture synthetic acoustic data for extracting local horizontal wavenumber content for doing range-dependent geoacoustic inversion. Results are discussed in terms of discrete and continuous changes in the waveguide environment. The estimator is then applied to real data for a fixed receiver and towed source. For a source speed of 2 m/s, a shift was observed in the measured wavenumbers. Based on this observation, a method for measuring modal group velocity is presented from measurements of the shifted wavenumbers for a source towed out and back along the same track.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2002
Accession Number
ADA405910

Entities

People

  • Kyle M. Becker

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Acoustic Properties
  • Acoustic Waves
  • Acoustics
  • Algorithms
  • Coordinate Systems
  • Doppler Effect
  • Grids
  • Integral Equations
  • Inverse Problems
  • Measurement
  • Oceanography
  • Range Finding
  • Scattering
  • Stratified Fluids
  • Three Dimensional
  • Two Dimensional

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference