空间目标监视地面站任务规划方法研究:综述与展望OA

With the rapid increase in the number of low earth orbit targets,the contradiction between the limited ground station resources and the growing demand for surveillance tasks has become increasingly acute.This paper aims to systematically review the research progress in the field of mission planning of space target monitoring ground stations for multi-objective,dynamic and large-scale scenarios,clarify its technical development context,and provide a clear theoretical reference for the research in this field.This paper first describes the problem framework and core challenges of mission planning;then around the research method of"preprocessing-modeling-solving",this paper systematically analyzes the data-driven,problem decomposition and other preprocessing technologies,summarizes the multi-objective optimization modeling methods and complex constraint processing strategies,and reviews the evolution and integration of solving technologies from exact methods,meta heuristic algorithms to machine learning and reinforcement learning.The analysis shows that this field has developed from the early static single-objective optimization to the dynamic,multi-objective and super-large-scale intelligent scheduling system.Preprocessing technology has significantly improved the efficiency of subsequent optimization.The integration of multi-objective optimization and complex constraints has become the mainstream of modeling.Intelligent solution algorithms promote significant improvements in both the efficiency and quality of the solution method.At the same time,the research still faces challenges in terms of scenario generalization,theoretical support,dynamic adaptability and project implementation.The review points out that future research should focus on the intelligent planning paradigm of cross-domain robustness,the super-large-scale distributed collaborative solution architecture,the system design with online learning and robustness,and the standardized and modular practical engineering framework,and further discusses the implementation paths and potential bottlenecks in various directions,so as to build a ground station planning system suitable for the highly dynamic and high-concurrency characteristics of future space missions.