Advanced Data Fusion

Period of Performance: 04/05/2006 - 10/31/2006

$100K

Phase 1 SBIR

Recipient Firm

Decisive Analytics Corp.
1400 Crystal Drive Array
Arlington, VA 22202
Principal Investigator

Abstract

The Missile Defense Agency's (MDA) Project Hercules has been charged with developing advanced algorithms for the Ballistic Missile Defense System (BMDS). Under the Decision Architecture task, a Battle Manager (the DABM) has been developed to model the end-to-end BMDS. This simulation testbed models the network-centric system-of-systems that make up the BMDS including sensors, weapons systems, and the C2BMC. Under this SBIR the DAC Team proposes two niche capabilities that are not currently addressed in the BMDS. We propose a novel combination of Dempster-Shafer Theory of Evidence and Bayesian Networks to perform advanced data fusion during an engagement. Additionally we propose an innovative Stochastic Programming technique to enhance Weapon Engagement Planning. 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 in Phase III of this SBIR.