Shallow Water MCM and ASW Using Off-Board, Autonomous Sensor Networks and Multistatic, Time-Reversal Acoustics
MASSACHUSETTS INST OF TECH CAMBRIDGE
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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.
- Undersea and Antisubmarine Warfare
- Land Mine Warfare
- Acoustic Detection and Detectors
- Underwater Ordnance