Distributed multi-target search and track assignment using consensus-based coordination

This paper presents a distributed, consensus-based approach to optimize radar resource management for ballistic missile surveillance and tracking. Each radar determines their preferred radar-to-target assignment by balancing radar loading and minimizing total radar usage. A unique global radar-to-target assignment that is robust to resource estimation error is generated by a distributed consensus algorithm. Performance is validated via Monte Carlo simulations.