Underwater Source-Level Estimation using Sparsity-Cognizant Source-Location Mapping

Abstract

This work focused on estimating the acoustic source gains of broadband sources in a shallow-water environment. The results show that accurate acoustic source gain estimation is possible if the sources were correctly localized. Knowledge about the environment was a fundamental enabler for the acoustic source gain estimation. When dealing with multiple sources, the source gain estimation does not perform as well, but if localization was achieved, then it is still able to give accurate results at higher signal-to-noise ratios. Future research will explore how this algorithm performs on real data set(s) and in the presence of environmental uncertainty.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2014
Accession Number
ADA613039

Entities

People

  • Logan Straatemeier
  • Paul A. Baxley
  • Pedro A. Forero

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Acoustic Propagation
  • Algorithms
  • Broadband
  • Computational Complexity
  • Data Sets
  • Department Of Defense
  • Equations
  • Estimators
  • Frequency
  • Governments
  • Information Operations
  • Information Science
  • Measurement
  • Shallow Water
  • Simulations
  • United States Government

Readers

  • Acoustical Oceanography.