Nonlinear Inversion from Nonlinear Filters for Ocean Acoustics

Abstract

The long term goals of this research are to develop practical and efficient algorithms for application the nonlinear inversion problems encountered in ocean acoustics. Such algorithms would be used for estimating or accounting for the effects of the environment on acoustic propagation, detection and tracking in shallow water. The specific objectives of this research are adapt a specific nonlinear filter, known as a Daum filter, for acoustic inversion of shallow water environmental properties, and to assess the performance of this nonlinear filter relative to local linear inversion on the one hand and global methods, e.g. Monte Carl methods on the other hand.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA612664

Entities

People

  • Robert I. Odom

Organizations

  • University of Washington

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Acoustics
  • Algorithms
  • Data Science
  • Genetic Algorithms
  • Information Science
  • Inverse Problems
  • Inversion
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Monte Carlo Method
  • Nonlinear Systems
  • Physics
  • Physics Laboratories
  • Shallow Water
  • Statistical Analysis

Readers

  • Acoustics.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering