Simulation of Ocean Acoustic Tomography Using Matched Field Processing

Abstract

The feasibility of applying the principles of matched field processing to ocean acoustic tomography were studied under various conditions of ambient noise. Several likelihood estimators were examined (e.g., Bucker, Bartlett, Maximum Likelihood, etc.). Simulations were initially conducted for the simple case wherein only one parameter of the medium was unknown (e.g., SOFAR axis depth, surface sound speed, position of a single acoustic front). The method was then applied to the more realistic problem of locating the boundaries of an eddy in the ocean. For moderate signal-to-noise ratios, all the estimators were shown to be able to solve the problem, albeit with different efficiencies. For low signal-to-noise ratios, the MLM scheme proved to be the most reliable especially when a highly correlated ambient noise was present. In all cases, computer simulations illustrated that mismatching may occur when the parameterization of the medium is poorly approximated. Mismatching leads to a decrease in the efficiency of the estimators but it may be still possible to correctly estimate the environmental characteristics. Keywords: Theses.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1989
Accession Number
ADA216498

Entities

People

  • Frederic Strohm

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Acoustic Tomography
  • Acoustic Waves
  • Acoustics
  • Ambient Noise
  • Bottom Loss
  • Center Of Gravity
  • Computational Science
  • Computations
  • Frequency
  • Inverse Problems
  • Measurement
  • Ocean Acoustic Tomography
  • Oceans
  • Shallow Water
  • Simulations
  • Three Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Wave Propagation and Nonlinear Chaotic Dynamics.