Geoacoustic Inversion Using the Vector Field

Abstract

This research is being conducted under the Ocean Acoustics Graduate Traineeship / Special Research Award program. The first year of this award was FY10. The goal of this research is the study of new geoacoustic inverse methods using the information in the acoustic vector field. The fundamental question addressed by this effort is whether knowledge of the vector field can improve estimates for seabed properties as quantified by their a posteriori probability distributions and resolutions relative to approaches based solely on the scalar field. OBJECTIVES The overall objective of this work is to pose new geoacoustic inverse problems utilizing the acoustic vector field and to study their performance. Specific research questions include the following: * What opportunity does knowledge of the acoustic vector field provide for the estimation of sediment geoacoustic properties via numerical inversion? * How does inversion performance vary when different acoustic parameters such as impedance and intensity are used to support the estimates? * Does knowledge of the vector field improve the convergence rate relative to methods based solely on the acoustic scalar field? * Does knowledge of the vector field result in a different or improved estimate for the sediment properties? Does knowledge of the vector field reduce the solution variance?

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2010
Accession Number
ADA542072

Entities

People

  • Steven E. Crocker

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Impedance
  • Acoustics
  • Block Island
  • Block Island Sound
  • Continuous Waves
  • Data Sets
  • Frequency
  • Impedance
  • Inversion
  • Measurement
  • Particles
  • Probability
  • Probability Distributions
  • Secondary Waves
  • Transfer Functions
  • Transmission Loss
  • Waves

Readers

  • Acoustical Oceanography.
  • Statistical inference.