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 to 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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2007
Accession Number
ADA573392

Entities

People

  • Robert I. Odom

Organizations

  • University of Washington

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

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

Readers

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