Multi-level Sensor Resource Management using Stochastic Optimization
Sensor Resource Management (SRM)
The Missile Defense Agency (MDA) is tasked with the goal of defending the United States against ballistic missile attacks. We implement a Sensor Resource Management (SRM) system that optimally assigns one of the several heterogeneous sensors to each task in the kill chain for a multiple missile attack. Our multilevel SRM system is based on stochastic optimization via Markov Decision Processes (MDP). The SRM consists of Local Resource Managers (LRM) which optimize the tasking of individual sensors, and a Global Resource Manager (GRM) which controls system level performance. This MDP approach was previously extensively tested in a laboratory environment for multi-sensor SRM applications.