Enhancing Space-Based Situational Awareness: Real-Time Observation of Dynamic Targets with MetaCooperative-Scheduling Net

Due to the characteristic of fast response, strong pointing ability, and high stability of agile satellites, the space-based situational awareness system composed of agile satellites can enable real-time relay observation of dynamic targets and support early warning of space threats. In order to improve the early warning capability of the constellation for multiple dynamic no-cooperative targets and the adaptability in different scheduling scenarios, the Cooperative Multi-satellite Scheduling with Pointer Network and Meta-Learning for Online Optimization (Meta-Cooperative Scheduling Net) is proposed to address the coordinated observation of multiple dynamic targets with online optimization challenges. Specifically, the proposed model with a simplified Encoder-Decoder structure focuses on enhancing the efficiency of the cooperative scheduling strategy by designing a continuous relay scheduling framework and an improved reinforcement learning-based policy optimization method with double critic networks.Moreover,a meta reinforcement-learning-based increment-improving method is designed for continuous adaptability in the fresh scheduling scenario. Ablation and comparative experiments are verified to demonstrate the effectiveness of the proposed cooperative scheduling model.