Clock bias prediction for low Earth orbit satellites with LSTM neural network: method and verification

• Published in: GPS solutions Vol. 29; no. 3; p. 92
• Main Authors: Zhang, Wei, Zhang, Keke, Li, Xingxing, Huang, Jiande, Wu, Jiaqi, Yuan, Yongqiang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2025; Springer Nature B.V
• Subjects: Accuracy; Aerospace environments; Atmospheric Sciences; Automotive Engineering; Bias; Earth and Environmental Science; Earth orbits; Earth Sciences; Electrical Engineering; Experiments; Geophysics/Geodesy; GRACE (experiment); Low earth orbits; Neural networks; Orbit determination; Polynomials; Satellites; Space Exploration and Astronautics; Space Sciences (including Extraterrestrial Physics; Spectrum analysis; Trends; Low Earth orbit (LEO) satellite; Neural network model; Clock bias prediction; Long-short term memory (LSTM) model; New strategy

Clock bias of low Earth orbit (LEO) satellite describes the discrepancy between the onboard clock indication time and the reference time, which can usually reach up to microseconds to milliseconds. LEO clock bias can significantly affect the accuracy of LEO-based applications such as navigation augm...