卫星星座
星座
适应性
计算机科学
模拟退火
实时计算
卫星
算法
工程类
天文
生态学
生物
物理
航空航天工程
作者
Jiahao Zhou,Boheng Li,Qingxiang Meng
标识
DOI:10.1109/geoinformatics57846.2022.9963835
摘要
When using constellation synergy to image large areas for reconnaissance, it is required to achieve the coverage capability requirements with minimal consumption of observation resources to obtain the most optimal constellation observation scheme. With the minimum number of satellites and meeting the real-time ground coverage requirements as the optimization objectives, this paper proposes an optimized design of satellite constellation configuration for full coverage of large-scale regional imaging by using an improved simulated annealing algorithm combined with the real-time coverage evaluation method of hexagonal discretization. The algorithm can adapt to experimental conditions, has good efficiency, and can meet industrial accuracy requirements. The effectiveness and adaptability of the algorithm are tested in simulation applications.
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