Multi-sensor Fusion for Integrating Tracking and Discrimination
Agency / Branch:
DOD / MDA
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.
Small Business Information at Submission:
DECISIVE ANALYTICS CORP.
1235 South Clark Street Suite 400 Arlington, VA 22202
Number of Employees: