Journal of Space Science and Experiment >

2023 , Vol. 23 >Issue 4: 22 - 35

DOI: https://doi.org/10.19963/j.cnki.2096-4099.2023.04.003

Research Progress in Space Telescope Observation Scheduling

  • ZHANG Kai-yuan ,
  • XIA Xiao-yun ,
  • ZHANG Xian-chao ,
  • JIANG Hai ,
  • LIU Jing ,
  • LIAO Wei-zhi
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  • 1. School of Sciences,Jiangxi University of Science and Technology,Ganzhou 341000,China;
    2. School of Information Science and Engineering,Jiaxing University,Jiaxing 314001,China;
    3. Institute of Information Network and Artificial Intelligence,Jiaxing University,Jiaxing 314001,China;
    4. National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100012,China

Online published: 2024-05-11

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Abstract

With the continuous exploration of space by humans,the number of space debris is constantly increasing,and the demand for observation of space debris is also gradually increasing.As essential equipment for observing space objects,the performance requirements of space telescopes are constantly improving,making observation scheduling more difficult.Firstly,this article lists several typical models of space telescope scheduling problems and commonly used solving algorithms for each model.At the same time,it introduces telescope scheduling constraints and optimization objectives in different application scenarios and analyzes the advantages and disadvantages of commonly used algorithms for each model.Secondly,the development process and latest research progress of space telescope scheduling systems at home and abroad were elaborated.Finally,based on the current research status of telescope scheduling,prospects are made for the future development trend of space telescope scheduling.

Key words： space debris observation; space telescope scheduling; combinatorial optimization; heuristic algorithm; deep reinforcement learning

Cite this article

ZHANG Kai-yuan , XIA Xiao-yun , ZHANG Xian-chao , JIANG Hai , LIU Jing , LIAO Wei-zhi . Research Progress in Space Telescope Observation Scheduling[J]. Journal of Space Science and Experiment, 2023 , 23(4) : 22 -35 . DOI: 10.19963/j.cnki.2096-4099.2023.04.003

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