Improved LOD and UT1-UTC Prediction Using Least Squares Combined with Polynomial CURVE Fitting

Improved LOD and UT1-UTC Prediction Using Least Squares Combined with Polynomial CURVE Fitting

The Length of Day (LOD) and the Universal Time (UT1) play crucial roles in satellite positioning, deep space exploration, and related fields. The primary method for predicting LOD and UT1 is least squares fitting combined with autoregressive (AR) models. Polynomial Curve Fitting (PCF) has greater ac...

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Bibliographic Details
Main Authors: Chao Li, Xishun Li, Yuanwei Wu, Xuhai Yang, Haihua Qiao, Haiyan Yang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
LOD
UT1-UTC
LSTM
polynomial curve fitting
least squares
Online Access:https://www.mdpi.com/2072-4292/16/23/4393
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