Modeling and Analyzing the Propagation from Environmental through Sonar Performance Prediction

Abstract

Central to the long term goals of this joint project is to understand the physics of the propagation of uncertainty through the interfaces between oceanography, acoustics, array processing and performance prediction. We will develop an efficient overall simulation platform that combines all of the components of the baseline (mean) and uncertainty problem: Oceanography through 4-D acoustic field prediction. The development of a methodology to distill the complexity and uncertainty of the ocean acoustic environment and the system level sensitivities to relevant situational awareness for the operator is an important goal of this research. This project is a joint effort as summarized in the team report. Below we concentrate on the SIO effort. A substantive part of the SIO effort is a joint research program with the SAIC component involving the application of the adjoint methodology to ocean-acoustics. This part of the effort is contained in the SAIC report.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA628122

Entities

People

  • A. Thode
  • B. D. Cornuelle
  • William A. Kuperman
  • William Hodgkiss

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Fields
  • Acoustic Propagation
  • Acoustics
  • Environment
  • Internal Waves
  • Monte Carlo Method
  • Oceanography
  • Oceans
  • Physics
  • Sensitivity
  • Simulations
  • Situational Awareness
  • Surface Properties
  • Surface Roughness
  • Teamwork
  • Three Dimensional
  • Uncertainty

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Technical Research and Report Writing.