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基于贪婪动态融合的卫星激光测距优化算法
Alternative TitleSatellite Laser Ranging Optimization Algorithm Based on Greedy Dynamic Fusion
杨梦雪1,2; 李祝莲1,3; 李语强1,3
Source Publication激光与光电子学进展/Laser & Optoelectronics Progress
2022
ClassificationV423.4
Contribution Rank第1完成单位
Indexed ByCSCD ; 核心
Keyword卫星激光测距 任务优化 贪婪算法 动态规划
Abstract

随着人类航天活动的增多,太空中携带激光角反射器的卫星数量和种类日益丰富。对卫星进行跟踪观测时,台站观测系统需要具备较好的观测策略,才能提高任务的观测效率。本文结合当今技术的发展状况,针对台站观测任务数量多、问题建模难、求解复杂度高等问题,提出了一种基于贪婪算法(Greedy Search Algorithm,GSA)与动态规划算法(Dynamic Programming Algorithm,DPA)融合的改进贪婪动态规划算法,该算法首先将调度问题划分成几个子问题,然后根据约束条件以最大化观测收益为目标函数对问题进行迭代求解,进而生成近似最优观测计划。实验表明,该算法在解决观测任务调度问题时具有一定的可行性和实用性,并为下一步建立台站自动化运行系统奠定坚实的基础。

Other Abstract

With the increase of human space activities, the number and types of satellites carrying laser corner reflectors in space are becoming more abundant. When tracking and observing satellites, the station observation system needs to have a better observation strategy in order to improve the observation efficiency of the mission. Based on the development of today’s technology, this paper proposes a method based on greedy search algorithm and dynamic programming algorithm fusion improved greedy dynamic programming algorithm, the algorithm first divides the scheduling problem into several sub-problems, and then iteratively solves the problem with the objective function of maximizing the observation income according to the constraints, and then generates an approximate optimal observation plan. Experiments show that the algorithm has certain feasibility and practicability in solving

Funding Project国家自然科学基金[U1431116]
Funding Organization国家自然科学基金[U1431116]
Language中文
Subject Area天文学 ; 天体测量学
MOST Discipline Catalogue理学 ; 理学::天文学
ISSN1006-4125
Citation statistics
Document Type期刊论文
Version作者接受稿
Identifierhttp://ir.ynao.ac.cn/handle/114a53/25290
Collection应用天文研究组
Corresponding Author李祝莲
Affiliation1.中国科学院云南天文台;
2.中国科学院大学;
3.中国科学院空间目标与碎片观测重点实验室
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
杨梦雪,李祝莲,李语强. 基于贪婪动态融合的卫星激光测距优化算法[J]. 激光与光电子学进展/Laser & Optoelectronics Progress,2022.
APA 杨梦雪,李祝莲,&李语强.(2022).基于贪婪动态融合的卫星激光测距优化算法.激光与光电子学进展/Laser & Optoelectronics Progress.
MLA 杨梦雪,et al."基于贪婪动态融合的卫星激光测距优化算法".激光与光电子学进展/Laser & Optoelectronics Progress (2022).
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