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Singular Spectrum Analysis Based on Improved Cao Algorithm and Its Application in Beidou Multipath Filtering

YU Bin;YANG Shaomin;Key Laboratory of Earthquake Geodesy,Institute of Seismology,CEA;Wuhan Base of Institute of Crustal Dynamics,CEA;  
In this paper,we study Beidou sidereal filtering algorithm based on improved SSA.The embedding dimension is determined by phase space reconstitution Cao algorithm,and we propose an improvement for the shortcomings of Cao algorithm.Thus,the computational efficiency and accuracy of the SSA method are improved.The repetitive cycle characteristics of different constellation satellites of Beidou system are analyzed,and the repeat cycle of the Beidou multipath error is estimated to be86 160 s.The results of Beidou short baseline solution are processed by sidereal filtering based on singular spectrum analysis method and traditional wavelet method.The results indicate that the effect of SSA multipath filtering method are better than the wavelet method,and the multipath error in original coordinate sequence can be eliminated well.
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