Abstract:Using the BDS differential code bias (DCB) products released by MGEX (multi-GNSS experiment), the variation characteristics of the monthly stability of BDS satellite DCB during high and low solar activity periods are compared and analyzed. The auto-regressive integrated moving average (ARIMA) model is utilized to predict the short-term BDS satellite DCB at different solar activity levels. The results show that during the high solar activity periods, the standard deviations of the daily solutions and the monthly stability of the BDS satellite DCB are significantly worse than those during the low solar activity periods, and the stability of the BDS satellite DCB varies with the BDS satellite constellation types. The time series prediction results of ARIMA are in good agreement with the MGEX-released DCB values, which is better than polynomial fitting method.