BLACK RIVER SYSTEMS COMPANY, INC. — Department of Defense STTR Phase II: MDA19-T001

Description

The Integrated Air and Missile Defense (IAMD) threat environment has become more complex and challenging due to advances in adversary technology. Trusted and accurate data association can be achieved by reducing the inherent prediction uncertainty and the resulting data association uncertainty can be reduced by recognizing that IAMD threats follow trajectories that are planned to accomplish intended missions. The targets may maneuver but they eventually must reach the goals of the mission. Using machine learning we can predict threat behaviors, routes, and destinations which can be used to reduce association uncertainty. We are proposing to develop a Trusted Intelligent Data Association software prototype that combines machine learning for behavior understanding with a physics-based destination aware Interacting Multiple Model (IMM) and a data association manager to perform trusted association compatible with the data association uncertainty. Approved for Public Release |21-MDA-10789 (21 Apr 21)