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Medium- and Long-Term Prediction of Polar Motion Using Weighted Least Squares Extrapolation and Vector Autoregressive Modeling Cover

Medium- and Long-Term Prediction of Polar Motion Using Weighted Least Squares Extrapolation and Vector Autoregressive Modeling

Artificial Satellites
Volume 58 (2023): Issue 2 (June 2023)
By: Yu Lei,  Danning Zhao and  Min Guo  
Open Access
|Jul 2023

Authors

Yu Lei

leiyu@xupt.edu.cn

School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China

Danning Zhao

zhaodanning31@163.com

School of Electronic and Electrical Engineering, Baoji University of Arts and Sciences, Baoji, China

Min Guo

gmnwpu@opt.ac.cn

Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China
DOI: https://doi.org/10.2478/arsa-2023-0004 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
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Language: English
Page range: 42 - 55
Submitted on: Jan 5, 2023
Accepted on: May 17, 2023
Published on: Jul 18, 2023
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
polar motion,
prediction model,
weighted least squares,
vector autoregressive
Related subjects:
Geosciences,
Geosciences, other

© 2023 Yu Lei, Danning Zhao, Min Guo, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.

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