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Multi-Phenomenology Discrimination for Feature Aided Data Fusion

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
B122-005-0270
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-005
Solicitation Number:
2012.2
Small Business Information
DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400 Arlington, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Multi-Phenomenology Discrimination for Feature Aided Data Fusion
Agency: DOD
Contract: HQ0147-13-C-7316
Award Amount: $149,998.00
 

Abstract:

We propose to apply a proprietary discrimination technique rooted in the manifold learning literature to discrimination of object type through radar and through electro-optical/infrared sensors, and to use the features computed by this technique to help correlate tracks between sensors. Our discrimination technique is data-type agnostic, meaning that we can apply the same basic algorithm in both phenomenologies, which, in turn, suggests that future work may allow us to more self-consistently perform cross-sensor data fusion. The proposal leverages prior investment by MDA in radar discrimination techniques and is endorsed by a major MDA prime contractor for sensor technologies, increasing its probability of successfully transitioning to the operation BMDS.

Principal Investigator:

David Fiske
Director, Applied Mathematics
(703) 414-5036
david.fiske@dac.us

Business Contact:

Dana Ho
Contracts Manager
(703) 414-5016
dana.ho@dac.us
Small Business Information at Submission:

DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400 Arlington, VA -

EIN/Tax ID: 541785147
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No