Multistatic, Concurrent Detection, Classification And Localization Concepts For Autonomous, Shallow Water Mine Counter Measures

Abstract

As a seamless, continuation of the previous SWAMSI grant, the objective continues to be the achievement of robust multi-static detection and classification of proud- and buried seabed objects using cooperative networks of autonomous vehicles with acoustic sources and receiving arrays.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA533130

Entities

People

  • Arjuna Balasuriya
  • Henrik Schmidt

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustics
  • Autonomous Vehicles
  • Autonomy
  • Classification
  • Command And Control
  • Computers
  • Detection
  • Electronics
  • Frequency
  • Medium Frequency
  • Multistatic Detection
  • Power Electronics
  • Shallow Water
  • Three Dimensional
  • Vehicles
  • Water

Readers

  • Acoustical Oceanography.
  • Strategic Security Studies

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control