Efficient Inversion in Underwater Acoustics with Analytic, Iterative and Sequential Bayesian Methods

Abstract

The long term goal of this project is to develop efficient inversion algorithms for successful geoacoustic parameter estimation, inversion for sound-speed in the water-column, and source localization, exploiting (fully or partially) the physics of the propagation medium. Algorithms are designed for inversion via the extraction of features of the acoustic field and optimization. The potential of analytic approaches is also investigated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2015
Accession Number
AD1013900

Entities

People

  • Zoi-Heleni Michalopoulou

Tags

DTIC Thesaurus Topics

  • Acoustic Fields
  • Acoustic Signals
  • Acoustics
  • Algorithms
  • Bayesian Networks
  • Born Approximations
  • Electronic Mail
  • Frequency
  • High Resolution
  • Inverse Problems
  • Inversion
  • Probability
  • Probability Density Functions
  • Sediments
  • Signal Processing
  • Underwater Acoustics
  • Water

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Distributed Systems and Data Platform Development

Technology Areas

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