Abstract:The periodicity of BDS satellite clocks is analysed using the Fourier transformation method, and then we build the forcast model considering periodic term. On this basis, we analyze the short-term forecast effect and forecast precision of different types of satellites. Experimental results show that different types of satellites show more significant half-day and one-day period terms, and the corresponding energy amplitudes are different. Compared with the traditional quadratic polynomial forecast model, the proposed model can significantly improve prediction accuracy. The overall accuracy of 6 h prediction can be better than 2 ns and 24 h prediction accuracy better than 10 ns.
MA Zhuoxi,YANG Li,JIA Xiaolin. Research on Prediction and Characterization of Periodic Variations in BDS Satellite Clocks[J]. jgg, 2017, 37(3): 292-296.