Multi-sensor Fusion for Integrating Tracking and Discrimination

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: W9113M-08-C-0134
Agency Tracking Number: B063-010-0647
Amount: $999,998.00
Phase: Phase II
Program: SBIR
Awards Year: 2008
Solitcitation Year: 2006
Solitcitation Topic Code: MDA06-010
Solitcitation Number: 2006.3
Small Business Information
DECISIVE ANALYTICS CORP.
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Duns: 036593457
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andy David
 Senior Engineer
 (703) 414-5039
 andrew.david@dac.us
Business Contact
 Kelly McClelland
Title: Director, Corporate Busin
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
N/A
Abstract
Under this Phase II SBIR, the Decisive Analytics Corporation (DAC) team proposes two advanced capabilities that are not currently supported in the Ballistic Missile Defense System (BMDS). Employing ground-breaking techniques developed under Phase I of this effort for describing and solving the problems of tracking and discrimination within a single Bayesian network model, we propose the development of a high fidelity, multi sensor fusion framework for integrating tracking and discrimination. Additionally, we will formalize and automate elements of our innovative Multiple Hypothesis Bayesian Network framework for discrimination-aided track correlation, making it suitable for use in the operational BMDS. 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 simulated, end-to-end testing in Phase II, and integration and deployment to the BMDS via Phase III of this SBIR. The work outlined in this proposal has received a letter of endorsement from Raytheon, indicating the strong potential that exists for commercialization of this technology.

* information listed above is at the time of submission.

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