Academic Journal of Computing & Information Science, 2026, 9(1); doi: 10.25236/AJCIS.2026.090112.
Quancheng Wang, Ye Yu, Guodong Jin, Jianwei Zhao, Xiaoyu Gao, Minli Yao
Rocket Force University of Engineering, Xi'an, 710025, Shaanxi, China
A grey model reformulated through initial-condition optimization is presented to advance the predictive performance of satellite clock bias. First, a grey forecasting model is established. Subsequently, initial conditions are determined using the latest components of the raw sequence. The study concludes with an experimental campaign in which the refined grey model, tuned at the initial condition, forecasts BeiDou satellite clock bias, leveraging Wuhan University’s precision clock products as ground truth. Comparative experiments confirm that optimizing the initial condition enables the grey model to outperform the classical grey and polynomial approaches in satellite clock bias forecasting. Its 6 h average forecast accuracy and stability reached 0.47ns, representing improvements of 37.56% and 47.50% compared to the grey model's average accuracy and stability, respectively.
Beidou satellite navigation system; satellite clock bias; initial condition optimization; grey model; accuracy analysis
Quancheng Wang, Ye Yu, Guodong Jin, Jianwei Zhao, Xiaoyu Gao, Minli Yao. Forecasting BDS Satellite Clock Bias Using Optimized Grey Model Based on Initial Conditions. Academic Journal of Computing & Information Science (2026), Vol. 9, Issue 1: 94-102. https://doi.org/10.25236/AJCIS.2026.090112.
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