Sensor Data Fusion

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,999.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
HQ0006-07-C-7717
Award Id:
81672
Agency Tracking Number:
B063-010-0647
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:
Andy David
Senior Engineer
(703) 414-5001
andrew.david@dac.us
Business Contact:
Kelly McClelland
Director, Corporate Business Admin.
(703) 414-5024
kelly.mcclelland@dac.us
Research Institution:
n/a
Abstract
Under this SBIR, the Decisive Analytics Corporation (DAC) team addresses two niche capabilities that are not currently addressed in the Ballistic Missile Defense System (BMDS). We propose describing the problems of tracking and discrimination within a single, hybrid, dynamic Bayesian network model. We propose solving this network model using a novel inference algorithm suited for use with hybrid dynamic Bayesian network. Additionally, we propose to address the problem of track correlation by employing an innovative Multiple Hypothesis Bayesian Network framework that works in conjunction with our proposed integrated tracking and discrimination network model. Both of these proposed approaches will build on the DAC team's computational techniques for performing inference in large-scale network models. These technologies, combined with DAC's experience in missile defense will result in algorithms suitable for prototyping in Phase I and Phase II, and integration and deployment to the BMDS via in Phase III of this SBIR.

* information listed above is at the time of submission.

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