MODAS Validation in Littoral Areas Using GRASP

Abstract

Our long-term goal is to assess the impact of temporal and spatial dynamics of oceanographic and meteorological factors on Navy sensors, systems, and operations. We will continue to improve our ability to exploit advances in remote sensing and climatology in the development of environmentally sensitive algorithms to improve ASW effectiveness in shallow-water, littoral regions. We intend to integrate a wider range of acoustic propagation and sonar performance prediction models to provide search sensor track optimization. Current work has focused on the Genetic Algorithm (GA) to optimize the search path, but we are working on a Synthetic Annealing algorithm for problems where the GA is inefficient. We continue to develop GRASP in the areas of target motion modeling, multiple constraint measures of effectiveness, and user interface issues. New goals set in the past year include bistatic acoustic simulation, true broadband acoustic prediction, and classification and tracking algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA627090

Entities

People

  • Donald R. Delbalzo

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Acoustics
  • Algorithms
  • Climatology
  • Detection
  • Detectors
  • Environment
  • Genetic Algorithms
  • Magnetic Anomaly Detection
  • Measures Of Effectiveness
  • Military Operations
  • Operations Research
  • Optimization
  • Remote Sensing
  • Shallow Water
  • Test And Evaluation
  • User Interface

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Biotechnology