Accession Number:

ADA526944

Title:

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

Descriptive Note:

Research rept.

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE DEPT OF MECHANICAL ENGINEERING

Personal Author(s):

Report Date:

2009-01-01

Pagination or Media Count:

11.0

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 experiments will occur, using the re-configurable REMUS cluster and coupled data assimilation. Specific objectives are to i Evaluate current methods and develop new algorithms for adaptive environmental-acoustical sampling, search and coupled data assimilation techniques Stage 1, based on a re-configurable REMUS cluster and on idealized and realistic simulations with NPSOASISDuke ii Research optimal REMUS configurations for the sampling of interactions of the oceanic mesoscale with inertial oscillations, internal tides and boundary layers with WHOINPSOASIS iii Improve models of sub-mesoscale ocean physics and develop new adaptive ocean model parameterizations for specific regional AWACS processes. Study and compare processes and dynamics in these regions with WHOI iv Provide near real-time fields and uncertainties in AWACS experiments and, in the final 2 years, develop algorithms for coupled physical-acoustical data assimilation among relocatable nested 3D physical and 2D acoustical domains with NPS v Provide adaptive sampling guidance for array performance and surveillance Stage 2, and link our MIT research with vehicle models and command and control.

Subject Categories:

  • Physical and Dynamic Oceanography
  • Electrical and Electronic Equipment
  • Computer Programming and Software
  • Acoustic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE