采用频谱分析方法对BDS星载原子钟的周期项变化规律进行分析,继而构建了附有周期项的精密钟差预报模型.在此基础上,对预报模型的短期预报效果和不同类型卫星的预报精度差异进行分析.结果表明,不同类型的卫星均表现出较为显著的12 h和24 h的周期项变化规律,但其对应的能量幅值存在差异;与传统的二次多项式预报模型相比,结合周期项改正的钟差预报模型能够提高预报精度,6h的预报精度约为2ns,24 h的预报精度约为10 ns.%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 shortterm 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.
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