Adaptive Data Fusion for Real-time Threat Assessment

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$2,749,148.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
N00024-12-C-4145
Award Id:
n/a
Agency Tracking Number:
N103-224-0173
Solicitation Year:
2010
Solicitation Topic Code:
N103-224
Solicitation Number:
2010.3
Small Business Information
14585 Avion Pwy, Suite 200, Chantilly, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
140785929
Principal Investigator:
BobSmarrelli
Director Business Develop
(703) 956-6480
bob.smarrelli@3phoenix.net
Business Contact:
LindaLeonard
Director of Contracts
(703) 956-6480
linda.leonard@3phoenix.net
Research Institute:
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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