Database Expansion Issues

Award Information
Agency:
Department of Defense
Amount:
$995,916.00
Program:
SBIR
Contract:
FA8650-06-C-1005
Solitcitation Year:
2005
Solicitation Number:
2005.1
Branch:
Air Force
Award Year:
2006
Phase:
Phase II
Agency Tracking Number:
F051-211-1068
Solicitation Topic Code:
AF05-211
Small Business Information
SIGNAL INNOVATIONS GROUP, INC.
4309 Emperor Blvd., Suite 350, Durham, NC, 27703
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
147201342
Principal Investigator
 Paul Runkle
 CEO/Director of Engineeri
 (919) 323-3454
 runkle@siginnovations.com
Business Contact
 Samantha Venters
Title: CFO
Phone: (919) 323-3453
Email: sventers@siginnovations.com
Research Institution
N/A
Abstract
State-of-the-art radar combat ID (CID) must address target identification in complex environments, often with very limited measured training data. Consequently, the algorithms frequently rely on data computed via numerical models, as a function of required sensor conditions (bandwidth, target-sensor orientation, polarization, etc.). Such data are usually computed using approximate high-frequency numerical models, because targets of interest are often very large relative to wavelength. As a consequence of the number of targets and poses that must be considered, even these approximate numerical models require substantial computational resources. It is therefore essential that one develop techniques to prioritize where computational efforts should be directed, for improving the accuracy of numerically-generated data and overall CID system performance. In addition, by identifying the key phenomenological primitives (features) driving CID performance, computations can be accelerated significantly by developing simpler models linked to the key scattering features. The Phase II goals are to extend the Phase I methodologies associated with identifying key features and phenomenology that drive CID performance to targets and databases of interest to AFRL, and the principal Phase II products are the tools required to assist in these efforts. Commercial applications include medical imaging, land-use assessment, and DoD modeling and analysis software.

* information listed above is at the time of submission.

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