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, 2014
Accession Number
ADA617529

Entities

People

  • Zoi Heleni Michalopoulou

Organizations

  • New Jersey Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Fields
  • Acoustics
  • Algorithms
  • Annealing
  • Dispersions
  • Frequency
  • High Resolution
  • Inversion
  • Models
  • New Jersey
  • Particles
  • Physics
  • Probability
  • Sediments
  • Sequential Monte Carlo Methods
  • Shallow Water
  • Underwater Acoustics

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.

Technology Areas

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