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...
| Auteurs principaux: | , , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
MDPI AG
2024-11-01
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| Collection: | Remote Sensing |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2072-4292/16/23/4393 |