Method of Station Selection and Mission Planning for Multi-station Intersection Observation of LEO Satellite Group

Under the condition of limited ground equipment, how efficiently carrying out multi-station intersection observation for large-scale LEO satellites requires reasonable station selection and mission planning. This paper mainly studies the selection of stations and task planning for the observation of multi-station intersection of LEO satellites and proposes a comprehensive planning method. To solve this problem, this paper mainly considers two aspects: when conducting multi-station intersection measurements for different targets, it is necessary to select stations from known stations; The measurement task of large-scale LEO satellite groups is huge, so it needs to carry out reasonable task planning. This study combines station selection with mission planning and establishes a comprehensive planning model, in which a comprehensive benefit function is defined to describe the relationship between the planning effect and the number and duration of observations. In terms of task constraints, this study considers that each satellite has several visible time windows for each station, the task needs to last for a while, there is equipment adjustment time between two equipment tasks, and the engineering constraints for intersection measurement are added: the stations performing intersection measurement tasks need to have a common view. In the simulation experiment part, the improved elite genetic algorithm combining elite reservation strategy and probabilistic evolution strategy is used to solve the problem. The experimental results show that the proposed method can effectively solve the related problems.