Autonomous Wide Aperture Cluster for Surveillance (AWACS): Adaptive Sampling and Search Using Predictive Models with Coupled Data Assimilation and Feedback

Abstract

This research aims to develop and evaluate new environmental-acoustical adaptive sampling and search methodologies, and improve the modeling of ocean dynamics, for the environments in which the main AWACS-06, -07 and -09 experiments will occur, using the re-configurable REMUS cluster and coupled data assimilation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA534059

Entities

People

  • Pierre F. J. Lermusiaux

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Algorithms
  • Assimilation
  • Boundaries
  • Command And Control
  • Dynamics
  • Engineering
  • Environment
  • Feedback
  • High Resolution
  • Motion Planning
  • Optimization
  • Predictive Modeling
  • Sampling
  • Simulations
  • Surveillance
  • Vehicles

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.