Densely-Packed Target Data Fusion for Naval Mission-level Simulation Systems

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,995.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N66001-10-M-5100
Award Id:
98584
Agency Tracking Number:
N101-101-0850
Solicitation Year:
n/a
Solicitation Topic Code:
NAVY 10-101
Solicitation Number:
n/a
Small Business Information
14585 Avion Pwy, Suite 200, Chantilly, VA, 20151
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
140785929
Principal Investigator:
Tushar Tank
Lead Engineer
(919) 956-5333
tushar.tank@3phoenix.net
Business Contact:
Joseph Liverman
Principal
(703) 956-6480
andy.liverman@3phoenix.net
Research Institution:
n/a
Abstract
We propose a principled 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 incorporate a novel Bayes-optimal multiple target tracking system. We will investigate several different metrics of the utility of data fusion in addressing strategic and tactical course of actions. We will perform testing on measured data to help define which is the most appropriate for Navy multi-sensor missions. 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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