Accession Number:

ADA611931

Title:

Shallow Water MCM and ASW Using Off-Board, Autonomous Sensor Networks and Multistatic, Time-Reversal Acoustics

Descriptive Note:

Annual rept.

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE

Personal Author(s):

Report Date:

2006-09-30

Pagination or Media Count:

8.0

Abstract:

The long-term goal is to achieve robust multi-static detection and classification of mine-like objects using cooperative networks of virtual acoustic sensors. The objective is to utilize high fidelity acoustic modeling of both scatterers and shallow-water environments to better understand and bound the limits of detectability for mine-like objects via autonomous networks of sensors. To conduct a series of realistic experiments using multiple sonar-equipped AUVs in shallow water and then cross-validate the results obtained with high precision modeling and visualization. To better understand the problems of cooperative autonomous vehicle interaction to define the base-line infrastructure requirements for cooperative detection, classification and navigation.

Subject Categories:

  • Undersea and Antisubmarine Warfare
  • Land Mine Warfare
  • Acoustic Detection and Detectors
  • Underwater Ordnance

Distribution Statement:

APPROVED FOR PUBLIC RELEASE