多目标算法在卫星区域覆盖调度及数传规划上的应用综述  

A Review of the Application of Multi-objective Algorithms in Satellite Regional Coverage Scheduling and Data Transmission Planning

作　　者：何奇恩 李峰 钟兴[1] HE Qi'en;LI Feng;ZHONG Xing(Chang Guang Satellite Technology Company Limited,Changchun 130102,China;Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]长光卫星技术股份有限公司,吉林长春130102 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [3]中国科学院大学,北京100049

出　　处：《遥感技术与应用》2023年第4期783-793,共11页Remote Sensing Technology and Application

基　　金：吉林省重点研发项目“多星联合大区域覆盖成像关键技术研究”(20210201015GX);国家重点研发计划“国产中高分辨率宽波段多光谱卫星数据集构建和高效国际化服务”(2019YFE0127000)。

摘　　要：随着全世界航天事业的不断壮大,卫星成像业务已经向多星协同覆盖大区域目标转型发展。在此过程中需要同时优化如最大覆盖面积、最小卫星资源利用等多个目标函数。围绕地球观测卫星区域覆盖调度及数传规划全流程,首先总结了典型区域分解技术,其作为卫星区域覆盖计划制定的前期准备步骤,在卫星调度中发挥着重要作用。随后分析评述了近年来多目标算法在卫星区域覆盖调度及数传规划领域的代表性工作。最后进行总结并对未来研究提出几点展望,以期为相关任务的多目标算法应用提供可靠参考。With the continuous development of the aerospace industry around the world,the satellite imaging business has developed towards the goal of multi-satellite collaboration covering large areas.In this process,multiple objective functions such as maximum coverage area and minimum satellite resource utilization need to be optimized simultaneously.Focusing on the whole process of regional coverage scheduling and data transmis⁃sion planning of Earth observation satellites,the typical regional decomposition technology is firstly summa⁃rized,which plays an important role in satellite scheduling as a preparatory step for satellite regional coverage and makes the solving of combinatorial optimization problems possible.Then,the representative studies of Multi-Objective Evolutionary Algorithm(MOEA)in the field of multi-satellite joint regional coverage schedul⁃ing and data transmission planning in recent years are analyzed and reviewed.Common optimization goals in⁃clude maximizing coverage rate,minimizing overlap ratio,minimizing the number of strips and so on.Finally,we summarize and put forward some prospects for future research,to provide a reliable reference for the applica⁃tion of multi-objective algorithms in related tasks.

关 键 词：地球观测卫星 区域分解 卫星调度与规划 地面站 多目标进化算法 多星协同 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP79[自动化与计算机技术—控制科学与工程]