Inferring the characteristics of marine sediments from the acoustic response of a known, partially buried object

Abstract

We investigate the feasibility of using a known elastic target located near the seabed for the purpose of inferring characteristics of marine sediment. In the problem considered the object position and its burial depth are not known with precision. First, the admittance matrix of the elastic object is determined (numerically or experimentally) over a wide frequency range in the structural acoustic regime. Then, the equivalent source method (ESM) coupled with a spectral representation of the Green's functions in stratified domains is used to predict the object acoustic signature in various environments and experimental configurations. The resulting solver takes into account all multiple scattering between target (buried or not), sea floor, and sea surface and is not limited to short distances. After presenting the solution to the forward problem several synthetic inversions for sediment characteristics are shown. They are based upon a resonance-based misfit function we describe. The Bayesian procedure also infers object burial and source-object range, broadening its range of application.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 01, 2022
Source ID
10.1121/10.0012219

Entities

People

  • Alexis Bottero
  • Jit Sarkar
  • Simone Sternini
  • W. A. Kuperman

Organizations

  • Strategic Environmental Research and Development Program
  • University of California

Tags

Readers

  • Artificial Intelligence
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms