Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias

Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias

Abstract Accurate modeling of satellite clock bias (SCB) is critical for enhancing high-precision positioning capabilities. Existing approaches, such as semiparametric adjustment models and neural networks, address the nonlinearity and non-stationarity of SCB time series, as well as potential distor...

Full description

Saved in:
Bibliographic Details
Main Authors: Lihong Jin, Wanzhuo Zhao, Xiong Pan, Qingsong Ai, Mao Cai, Xiaoli Ruan
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Semiparametric
Kernel function
Neural network
Satellite clock Bias prediction
Computational efficiency
Online Access:https://doi.org/10.1038/s41598-025-95876-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-95876-0

Similar Items