Ground replenishment strategy optimization of LEO satellite constellations considering performance degradation-Reference-Cited by-同舟云学术

Ground replenishment strategy optimization of LEO satellite constellations considering performance degradation

Published:2024-07-17 Issue: Volume: Page:1-22
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Wen Meilin¹²,Li Peixuan¹²³,Li Yueqi⁴,Zu Tianpei⁵,Kang Rui¹²⁵

Affiliation:

1. School of Reliability and Systems Engineering, Beihang University, Beijing, People’s Republic of China

2. Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing, People’s Republic of China

3. Department of System Engineering, City University of Hong Kong, Hong Kong SAR, People’s Republic of China

4. AVIC Research Institute for Special Structures of Aeronautical Composites, Jinan, People’s Republic of China

5. Hangzhou International Innovation Institute, Beihang University, Hangzhou, People’s Republic of China

Funder

Stable Supporting Project of Science & Technology on Reliability & Environmental Engineering Laboratory

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2024.2375070

Reference34 articles.

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2. Bhattacherjee D. et al. 2020. “In-Orbit Computing: An Outlandish Thought Experiment?” In Proceedings of the 19th ACM Workshop on Hot Topics in Networks.

3. Assessment of constellation designs for earth observation: Application to the TROPICS mission

4. Analysis of Inter-Satellite Link Paths for LEO Mega-Constellation Networks;Chen Q.;IEEE Transactions on Vehicular Technology,2021

5. Chen, L., Z. Yang, and W. Zhao. 2021b. Application of Artificial Intelligence in the Planning of Navigation Satellite in Orbit Reconstruction Tasks. Cham: Springer International Publishing.