Research on the Efficient Space Debris Observation Method Based on Optical Satellite Constellations

被引:4
作者
Li, Gongqiang [1 ,2 ,3 ]
Liu, Jing [1 ,2 ,3 ]
Jiang, Hai [2 ,3 ]
Liu, Chengzhi [1 ,2 ]
机构
[1] Chinese Acad Sci, Changchun Observ, Natl Astron Observ, Changchun 130117, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 07期
关键词
constellation; satellite; observation; space debris; scheduling; TRACKING;
D O I
10.3390/app13074127
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The increasing amount of space debris poses a major threat to the security of space assets. The timely acquisition of space debris orbital data through observations is essential. We established a mathematical model of optical satellite constellations for space debris observation, designed a high-quality constellation configuration, and designed a space debris tracking observation scheduling algorithm. These tools can realize the efficient networking of space debris from a large number of optical satellite observation facilities. We designed a constellation consisting of more than 20 low-Earth orbit (LEO) satellites, mainly dedicated to the observation of LEO space objects. According to the observation scheduling method, the satellite constellation can track and observe more than 93% of the targets every day, increase the frequency of orbital data updates, and provide support for the realization of orbital space debris cataloguing. Designing optical satellite constellations to observe space debris can help realize the advance perception of dangerous collisions, timely detect dangerous space events, make key observations about high-risk targets, greatly reduce the false alarm rate of collisions, and provide observational data support for space collisions.
引用
收藏
页数:17
相关论文
共 31 条
[1]  
[Anonymous], 2022, ORBITAL DEBRIS Q NEW, V26
[2]   Towards the automated operations of large distributed satellite systems. Part 1: Review and paradigm shifts [J].
Ben-Larbi, Mohamed Khalil ;
Pozo, Kattia Flores ;
Haylok, Tom ;
Choi, Mirue ;
Grzesik, Benjamin ;
Haas, Andreas ;
Krupke, Dominik ;
Konstanski, Harald ;
Schaus, Volker ;
Fekete, Sandor P. ;
Schurig, Christian ;
Stoll, Enrico .
ADVANCES IN SPACE RESEARCH, 2021, 67 (11) :3598-3619
[3]   Mission planning problem for optical video satellite imaging with variable image duration: A greedy algorithm based on heuristic knowledge [J].
Chang, Zhongxiang ;
Chen, Yuning ;
Yang, Wenyuan ;
Zhou, Zhongbao .
ADVANCES IN SPACE RESEARCH, 2020, 66 (11) :2597-2609
[4]   Priority-based and conflict-avoidance heuristics for multi-satellite scheduling [J].
Chen, Xiaoyu ;
Reinelt, Gerhard ;
Dai, Guangming ;
Wang, Maocai .
APPLIED SOFT COMPUTING, 2018, 69 :177-191
[5]   Impact simulation of Starlink satellites on astronomical observation using worldwide telescope [J].
Cui, Z. ;
Xu, Y. .
ASTRONOMY AND COMPUTING, 2022, 41
[6]   Optimal Walker Constellation Design of LEO-Based Global Navigation and Augmentation System [J].
Guan, Meiqian ;
Xu, Tianhe ;
Gao, Fan ;
Nie, Wenfeng ;
Yang, Honglei .
REMOTE SENSING, 2020, 12 (11)
[7]  
Guannan Qu, 2015, IFAC - Papers Online, V48, P258, DOI 10.1016/j.ifacol.2015.10.340
[8]   Long-Term Orbit Prediction and Deorbit Disposal Investigation of MEO Navigation Satellites [J].
Hu, Min ;
Ruan, Yongjing ;
Zhou, Huifeng ;
Xu, Jiahui ;
Xue, Wen .
AEROSPACE, 2022, 9 (05)
[9]   Revising the Observation Satellite Scheduling Problem Based on Deep Reinforcement Learning [J].
Huang, Yixin ;
Mu, Zhongcheng ;
Wu, Shufan ;
Cui, Benjie ;
Duan, Yuxiao .
REMOTE SENSING, 2021, 13 (12)
[10]  
Ip A.W., 2022, AEROSPACE ENG IOT SP, P157