Reduced-Order High-Fidelity Models for Signature Propagation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W912HZ-08-C-0066
Agency Tracking Number: A074-028-0353
Amount: $749,991.00
Phase: Phase II
Program: STTR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: A07-T028
Solicitation Number: N/A
Small Business Information
55 Railroad Row, Suite 307, White River Junction, VT, 05001
DUNS: 147168343
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Dick Darling
 Senior Research Engineer
 (802) 280-3020
Business Contact
 Chris Pearson
Title: Chief Executive Officer
Phone: (802) 280-3020
Research Institution
 Mihn Phan
 8000 Cummings Ave
Hanover, NH, 3755
 (603) 646-0917
 Nonprofit college or university
In Phase 1 research, we developed algorithms to produce reduced-order models from High Performance Computations (HPC). These algorithms are unique, powerful, and particularly well-suited to the acoustic and seismic signal propagation problem. In this Phase 2 proposal, we seek to extend these algorithms and produce HPC plug-ins that can be integrated with existing HPC codes. Not limited to acoustic or seismic signal propagation, these plug-ins can also be used in other HPC applications where the relevant dynamics are linear or can be linearized, e.g., antenna and propagation models. We will develop effective sensor placement algorithms to monitor a targeted area. We will also produce algorithms for fast identification of source location and source signal for anti-sniper application. These algorithms will be tested on research-level acoustic models, and on operation-level HPC model of the McKenna MOUT site at Fort Benning. The work to be performed in this Phase 2 project will lay a firm foundation for Phase 3 work where we will conduct field experiments and develop complete packages with integrated hardware and software for both military and commercial applications.

* Information listed above is at the time of submission. *

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