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In this paper,using the singular spectrum analysis (SSA) method for analysis of IGS station of ARTU time series was studied.The SSA-IQR(Singular Spectrum Analysis-Inter Quartile Range) is used to detect gross error.Using the method of singular spectrumiteration to fill the gaps of missing datas.This methods can achieve high precision.Singular spectrum analysis method can extract informations effectively to complete the recognition and extraction of trend and cycle item,and it can eliminate noise effectively,to smooth the effect.Experiments show that: ARTU station have trends obviously.Especially the linear trend term.By using the least square fitting the linear trend.Periodic cycle components exist in a variety of parallel.