Efficient Inversion in Underwater Acoustics with 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 features of the acoustic field.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2012
Accession Number
ADA574976

Entities

People

  • Zoi Heleni Michalopoulou

Organizations

  • New Jersey Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Fields
  • Acoustic Signals
  • Acoustics
  • Amplitude
  • Bayesian Networks
  • Dispersions
  • Environment
  • Extraction
  • Filters
  • Frequency
  • Inversion
  • Monte Carlo Method
  • Particles
  • Physics
  • Sampling
  • Sequential Monte Carlo Methods
  • Underwater Acoustics

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.

Technology Areas

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