Adaptive and Collaborative Exploitation of 3 Dimensional Environmental Acoustics in Distributed Undersea Networks

Abstract

To develop net-centric, autonomous underwater vehicle sensing concepts for littoral MCM and ASW, exploiting collaborative and environmentally adaptive, bi- and multi-static, passive and active sonar configurations for concurrent detection, classification and localization of subsea and bottom objects.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2015
Accession Number
AD1013916

Entities

People

  • Henrik Schmidt

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Scattering
  • Acoustics
  • Autonomous Systems
  • Autonomous Underwater Vehicles
  • Data Acquisition
  • Data Sets
  • Detection
  • Geometry
  • Infrastructure
  • Machine Learning
  • Massachusetts Bay
  • Radiation Patterns
  • Signal Processing
  • Supervised Machine Learning
  • Target Classification
  • Three Dimensional
  • Underwater Vehicles

Readers

  • Acoustical Oceanography.