Environmental Adaptation for Off-Board Sensors

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$99,908.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N65538-05-M-0121
Agency Tracking Number:
N051-044-0472
Solicitation Year:
2005
Solicitation Topic Code:
N05-044
Solicitation Number:
2005.1
Small Business Information
APPLIED HYDRO-ACOUSTICS RESEARCH, INC.
5885 Trinity Parkway, Suite 230, Centreville, VA, 20120
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
135121148
Principal Investigator:
Brian Samuels
Director, Modeling and Simulation
(703) 968-6112
samuels@aharinc.com
Business Contact:
Llew Wood
President
(703) 968-8040
llew@aharinc.com
Research Institution:
n/a
Abstract
The DD(X) program seeks to use off-board sensors as adjuncts to a robust own-ship capability. Optimal use of these off-board sensors requires tools for providing environmentally adaptive tools to perform optimal placement and processing of these multi-static sensors. The team of Applied Hydro-Acoustics Research, Inc. (AHA) and the Applied Physics Laboratory at the University of Washington (APL-UW) will design and develop a comprehensive toolset to meet this challenge, the Surface-ship Environmental Adaptation and Multistatic Optimization USW Toolset (SEAMOUNT). In the first phase of the research, the AHA/APL-UW team will complete and document a comprehensive design for SEAMOUNT. The team will also perform an assessment and algorithm candidate selection for the various components of the toolset. Components include optimal placement algorithms; optimal sensor setting algorithms; environmentally adaptive tools for detection, classification and localization; tools for rapid acoustic computations; and effectiveness routines for coordinated active and passive missions. In addition to the toolset design in Phase I, the team will implement and demonstrate an initial tool in a critical area of need. That tool will be an optimal placement algorithm merging APL-UW's Particle Swarm Optimization techniques, with the Navy's approved multi-static tactical decision aid engine (ASPECT), which was developed by AHA.

* information listed above is at the time of submission.

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