Reduced-Order High-Fidelity Models for Signature Propagation/WAVE

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$99,981.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
W912HZ-07-P-0324
Agency Tracking Number:
A074-028-0164
Solicitation Year:
2007
Solicitation Topic Code:
A07-T028
Solicitation Number:
n/a
Small Business Information
AVID LLC
1750 Kraft Drive, Suite 1400, Blacksburg, VA, 24060
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Samuel Wilson
President
(540) 961-0067
hsferguson@avidaerospace.com
Business Contact:
Nanci Hardwick
CFO
(540) 961-0067
nhardwick@avidaerospace.com
Research Institution:
VIRGINIA TECH
Daniel Inman
CIMMS
310 Durham Hall, MC 0261
Blacksburg, VA, 24061
(540) 231-4709
Nonprofit college or university
Abstract
A reduced-order signature propagation model, with comparable full scale finite-difference time-domain (FDTD) accuracy is proposed. The reduced-order model achieves reductions in computational resources and time. Existing FDTD acoustic and seismic sensor models require supercomputing / multiprocessor level resources, which are impractical in a real time military / battlefield environment. The proposed effort combines efficient computational / numerical techniques with simplified physics and/or geometry to generate a reduced-order model to be evaluated against the benchmark FDTD model. Calculated impulse responses from the developed models, including a high order model FDTD, are compared using a least squares matching criteria. The accuracy of the localization of events is assessed using test cases accounting for sensor and source locations, and signal to noise levels. A real-time decision-aid tool provides a framework to perform trade studies, and generates a visual rendering illustrating results of the performance evaluations. Phase I focuses on development of an efficient reduced order code and well defined signal localization criteria working simultaneously within a visual environment to optimize the number and placement of seismic or acoustic sensors.

* information listed above is at the time of submission.

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