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.
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.
