Advanced Data Association and Predictive Tracking (ADAPT)

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,537.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-08-C-0126
Award Id:
86494
Agency Tracking Number:
B073-046-0267
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
ChrisSmith
Senior Engineer
(703) 682-1615
chris.smith@dac.us
Business Contact:
KellyMcClelland
Director, Corporate Business Admin
(703) 414-5024
kelly.mcclelland@dac.us
Research Institute:
n/a
Abstract
A high-quality SIAP is the essential foundation of effective air defense, reliable combat identification and is the key to exploiting advanced offensive capabilities. To develop an effective SIAP, the tracking and fusion algorithms must overcome real-world challenges such as high target density, heterogeneous data sources, and communication bandwidth requirements. The DECISIVE ANALYTICS Corporation (DAC) team proposes to overcome these real-world problems through an innovative algorithm that has the potential to vastly improve the quality of measurement association, track correlation and fusion of sensor data with large uncertainty (e.g. high-density, passive sensors, electronic countermeasures, etc.). We propose to perform heterogeneous data fusion via a state-of-the-art fusion algorithm which will naturally and easily accommodate new and diverse sensor types as well as unanticipated sensor behavior in the face of increasingly difficult scenarios. Application of the proposed algorithms has been shown to produce fewer mis-associations and better run-time performance than other advanced tracking algorithms. Indeed, this innovative solution has garnered a commercial backing from Raytheon who has agreed to endorse the DAC team's solution through Phases I, II, and III.

* information listed above is at the time of submission.

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