Coordinated Asset Tasking System for Ballistic Missile Defense

In order to mitigate the increasing threat of multi-raid short and long range missile attacks from hostile countries and non-state terrorist groups on the U.S. and its allies, advanced, cutting-edge technologies for ballistic missile defense must be developed to ensure their protection and deter potential aggressors. One such key technology is real-time, optimized coordinated tasking and scheduling of BMDS"s diverse and distributed assets to dynamically allocate the best combination of resources when needed to support search, acquisition, track, discrimination, neutralization, and hit/kill assessments, in response to changing threat scenes, priority and complexity, subject to constraints of sensor availability, accessibility, and measurement capabilities. Aurora is proposing to leverage an innovative coordinated asset tasking and scheduling algorithm, the Coupled-Constraint Consensus-Based Bundle Algorithm (CCBBA), to provide a scalable, real-time solution to the complex asset resource management problem. In addition to adapting CCBBA to the scope and requirements of the ballistic missile defense problem, Aurora intends to implement a new extension to CCBBA which considers the network topology, and prevents and repairs disconnects. I will also leverage its information-theoretic technique for quantifying the value of combining distributed heterogeneous sensors for multi-target tracking, based on the Fisher Information Matrix (FIM), to develop a scoring function for the resource allocation algorithm that accurately represent the asset management objectives.