Sequential Geoacoustic Filtering and Utilizing Ambient Noise for Geoacoustic Inversion

Abstract

The development of new geoacoustic inversion methods, their use in the analysis of shallow water experimental data, and evaluation of geoacoustic model and parameter uncertainties including the mapping of these uncertainties through to system performance uncertainties. Analysis of geoacoustic inversion data collected from various experiments. Of specific technical interest are: (1) development of methods to track the environmental parameters using sequential filtering, (2) use of ambient noise for estimation of seafloor structure parameters, and (3) the development of new inversion methods for use into the kHz frequency regime. In an ONR Graduate Traineeship Awards we address using Random Matrix Theory in ocean acoustics.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA598704

Entities

People

  • Caglar Yardim
  • Peter Gerstoft
  • Ravi Menon
  • William Hodgkiss

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • C4I
  • Sensors

DTIC Thesaurus Topics

  • Acoustics
  • Ambient Noise
  • Cross Correlation
  • Eigenvalues
  • Filters
  • Filtration
  • Frequency
  • Inversion
  • Kalman Filters
  • Mathematical Filters
  • Matrix Theory
  • Noise
  • Oceans
  • Random Variables
  • Seabed
  • Signal Processing
  • Statistical Inference

Readers

  • Acoustical Oceanography.
  • Neural Network Machine Learning.