Improved SSA-Based GRU Neural Network for BDS-3 Satellite Clock Bias Forecasting

Improved SSA-Based GRU Neural Network for BDS-3 Satellite Clock Bias Forecasting

Satellite clock error is a key factor affecting the positioning accuracy of a global navigation satellite system (GNSS). In this paper, we use a gated recurrent unit (GRU) neural network to construct a satellite clock bias forecasting model for the BDS-3 navigation system. In order to further improv...

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Bibliographic Details
Main Authors: Hongjie Liu, Feng Liu, Yao Kong, Chaozhong Yang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
satellite clock bias
GRU neural network
SSA
Online Access:https://www.mdpi.com/1424-8220/24/4/1178

Internet

https://www.mdpi.com/1424-8220/24/4/1178

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