Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Precision Analysis of an Analytical Method in Space Debris Orbit Prediction

Authors
Bin Wang, Huafeng Peng, Kun Li
Corresponding Author
Bin Wang
Available Online September 2016.
DOI
10.2991/iccia-16.2016.43How to use a DOI?
Keywords
Spacecraft; Orbit prediction; Precision analysis; Quasi-analytical average method.
Abstract

Using high precision laser ephemeris as reference, the precision of orbit prediction is analyzed of an analytical model which is formulated by quasi-analytical average method. The result shows that: the orbit prediction accuracy of MEO and LEO satellites is several hundred meters in 1 day and not more than 10km in 7 days. The position error changes quickly over time. The calculation speed is fast using the analytical model. It can be used for precise orbit determination for a short term about 1 or 2 days. And it also can be used for the general accuracy of the long-term orbit prediction. But if the prediction time is too long, the accuracy will drop sharply.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/iccia-16.2016.43
ISSN
2352-538X
DOI
10.2991/iccia-16.2016.43How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Wang
AU  - Huafeng Peng
AU  - Kun Li
PY  - 2016/09
DA  - 2016/09
TI  - Precision Analysis of an Analytical Method in Space Debris Orbit Prediction
BT  - Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 238
EP  - 242
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.43
DO  - 10.2991/iccia-16.2016.43
ID  - Wang2016/09
ER  -