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

Abstract

LONG TERM GOALS: To develop multi-static synthetic aperture interferometry and iterative time-reveral technique, with little signal processing effort involved and a-priori information on the environment, to provide concurrent detection, classification and localization of proud and buried targets in shallow ocean waveguides.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA603865

Entities

People

  • Karim G. Sabra

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Classification
  • Detection
  • Detectors
  • Echoes
  • Elastic Shells
  • Engineering
  • Frequency
  • Frequency Domain
  • Frequency Shift
  • Networks
  • Scattering
  • Sensor Networks
  • Shallow Water
  • Signal Processing
  • Underwater Vehicles
  • Water

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.