Assessing Machine Learning for LEO Satellite Orbit Determination in Simultaneous Tracking and Navigation-Reference-Cited by-同舟云学术

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Assessing Machine Learning for LEO Satellite Orbit Determination in Simultaneous Tracking and Navigation

Published:2021-03-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Aerospace Conference (50100)
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Author:

Mortlock Trier,Kassas Zaher M.

Funder

Office of Naval Research (ONR)

National Science Foundation (NSF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9438108/9438128/09438144.pdf?arnumber=9438144

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integration of 5G, 6G and IoT with Low Earth Orbit (LEO) networks: Opportunity, challenges and future trends;Results in Engineering;2024-09

2. Machine learning in orbit estimation: A survey;Acta Astronautica;2024-07

3. UAV cluster geometric information fusion cooperative positioning algorithm with LEO satellite system;IET Control Theory & Applications;2024-06-24

4. An improved method for LEO orbit prediction using predicted accelerometer data;GPS Solutions;2024-05-28

5. Two-Line Element Outlier and Space Event Detection Method Based on Multi-Strategy Genetic Algorithm;Applied Sciences;2024-04-27

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