Performance of Self-Adaptive Techniques for Multi-Static, Concurrent Detection, Classification and Localization of Targets in Shallow Water Using Distributed Autonomous Sensor Networks

Abstract

To develop coherent space-time-frequency processing algorithms to enhance the multi-static concurrent detection, classification and localization of proud and buried targets in shallow ocean waveguides using distributed autonomous sensor networks.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2009
Accession Number
ADA531862

Entities

People

  • Karim G. Sabra

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Signatures
  • Acoustics
  • Algorithms
  • Classification
  • Detection
  • Detectors
  • Echoes
  • Elastic Shells
  • Frequency
  • Frequency Shift
  • Networks
  • Scattering
  • Sensor Networks
  • Shallow Water
  • Signal Processing
  • Water
  • Waveguides

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Computer Networking

Technology Areas

  • Space
  • Space - Space Objects