Ballistic missile surveillance sensor scheduling of distributed sensor networks

This paper presents a new algorithm to solve the problem of sensor scheduling for tracking a missile with distributed sensor networks. The missile state is estimated by sensors of distributed space (surveillance satellites), near-space (balloon, aero boat), air (surveillance airplane) and ground (surveillance radar). The resources of different warning platforms were analyzed and the main tasks and difficulty were presented. Finally, we use the Particle Swarm Optimization to find a sati factional sensor schedule.