Multi-Satellite Hierarchical Collaborative Planning Method for Multi-Target Sensing Tasks

Space situation awareness (SSA) is a crucial technology for ensuring space security. With the increase in the number of space targets and the diversification of spacecraft sensing requirements, planning technology for multi-target sensing missions has become an indispensable part. This paper proposes a multi-satellite hierarchical collaborative mission planning method for multi-target sensing missions, aiming at the binocular or monocular orbit determination requirements of space targets. Firstly, a collaborative mission planning model for multi-target sensing missions is proposed to decouple multiple coupled complex constraints and design a hierarchical bidding and tendering collaboration framework. On this basis, a multi-satellite collaborative mission planning method is proposed, and a hybrid reward function related to binocular orbit determination observation configuration evaluation, attitude maneuver cost, and binocular collaborative reward is designed to guide multiple inter-satellite collaborations and ultimately obtain a multi-satellite collaborative observation sequence. Simulations verify the effectiveness and robustness of the proposed method through the Monte Carlo method, thereby providing theoretical and technical support for SSA applications.