Contact Depth Localization - Sensitivity to Environmental Variability

Abstract

A contact depth recognition technique has been developed which uses the multipath structure of a point target echo and hence the channel structure as a discriminator. The technique uses a template matching approach of predicted multipath structure. Multipath structure is predicted using the Comprehensive Acoustic Sonar Simulator (CASS) model. Inputs to the model, such as sound speed profile, bottom bathymetry and boundary reflection coefficients are modeled using the variability observed in real world environments. This paper addresses the sensitivity of contact depth localization to environmental uncertainty. A method to parameterize environmental uncertainty has been developed and it is used to derive the statistical characterization of the performance of the depth estimation algorithm. Robust depth localization performance is demonstrated for oceanographic variability scales consistent with real world operating environments.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA498803

Entities

People

  • Keith Peters
  • Mark Vaccaro
  • Sudha S. Reese

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Active Sonar
  • Algorithms
  • Bottom Loss
  • Classification
  • Echoes
  • Environment
  • Pattern Recognition
  • Recognition
  • Salinity
  • Salt Water
  • Sensitivity
  • Target Echoes
  • Template Patterns
  • Uncertainty
  • Undersea Warfare
  • Water

Readers

  • Computer Vision.
  • Oceanography.
  • Radar Systems Engineering.