Adaptive Data Fusion for Real-time Threat Assessment

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-12-C-4145
Agency Tracking Number: N103-224-0173
Amount: $2,749,148.00
Phase: Phase II
Program: SBIR
Awards Year: 2012
Solicitation Year: 2010
Solicitation Topic Code: N103-224
Solicitation Number: 2010.3
Small Business Information
3 Phoenix, Inc.
14585 Avion Pwy, Suite 200, Chantilly, VA, -
DUNS: 140785929
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bob Smarrelli
 Director Business Develop
 (703) 956-6480
 bob.smarrelli@3phoenix.net
Business Contact
 Linda Leonard
Title: Director of Contracts
Phone: (703) 956-6480
Email: linda.leonard@3phoenix.net
Research Institution
 Stub
Abstract
We propose a data fusion framework that is appropriate for an adaptive classifier implemented with supervised and multi-task learning. The detection and data fusion (DDF) engine will map the results of advanced feature extraction algorithms (weighted multi-dimensional feature vectors) onto a nonlinear vector space which will increase separation and improve Pcc. We will investigate several different metrics of the utility of data fusion in addressing strategic and tactical courses of action. In addition, we will develop new techniques for feature adaptation and selection based upon current operational scenarios within the battle space.

* information listed above is at the time of submission.

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