Research on Universal Time/Length of Day Combination Algorithm Based on Effective Angular Momentum Dataset

Research on Universal Time/Length of Day Combination Algorithm Based on Effective Angular Momentum Dataset

Given that effective angular momentum (EAM) data demonstrate a strong correlation with length of day (LOD) data and are extensively utilized in the prediction of the universal time (UT1), this research integrated the EAM into the design of a Kalman filter. At the solution combination level, the UT1,...

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Bibliographic Details
Main Authors: Xishun Li, Yuanwei Wu, Dang Yao, Jia Liu, Kai Nan, Zewen Zhang, Weilong Wang, Xuchong Duan, Langming Ma, Haiyan Yang, Haihua Qiao, Xuhai Yang, Xiaohui Li, Shougang Zhang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
UT1
LOD
EAM
Kalman filter
Online Access:https://www.mdpi.com/2072-4292/17/7/1157
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