The Numerical Synthesis and Inversion of Acoustic Fields Using the Hankel Transform with Application to the Estimation of the Plane Wave Reflection Coefficient of the Ocean Bottom.

Abstract

The plane wave reflection coefficient is an important geometry independent means of specifying the acoustic response of a horizontally stratified ocean bottom. It is an integral step in the inversion of acoustic field measurements to obtain parameters of the bottom and it is used to characterize an environment for purpose of acoustic imaging. This thesis studies both the generation of synthetic pressure fields through the plane wave reflection coefficient and the inversion of measured pressure fields to estimate the plane wave reflection coefficient. These are related through the Sommerfeld integral which is in the form of a Hankel transform. The Hankel transform is extensively studied in this thesis and both applications. When we apply them to the generation of synthetic data, we obtain hybrid numerical-analytical algorithms which provide extremely accurate synthetic fields without sacrificing computational speed. These algorithms can accurately incorporate the effects of trapped modes guided by slow speed layers in the bottom. We also apply these tools to study the inverion of measured pressure filed data for the plane wave coefficient. We address practical issues associated with the inversion procedure including removal of the source field, sampling, field measurements over a finite range, and uncontrolled variations in source-height. A phase unwrapping and associated interpolation scheme is developed to handle improperly space data.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA133156

Entities

People

  • Douglas Robert Mook

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Fields
  • Acquisition
  • Bessel Functions
  • Coordinate Systems
  • Differential Equations
  • Electrical Engineering
  • Equations
  • Experimental Data
  • Far Field
  • Frequency
  • Gaussian Noise
  • Geometry
  • Integrals
  • Inverse Problems
  • Measurement
  • Three Dimensional
  • Two Dimensional

Readers

  • Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Space