Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (S2): 172-178.doi: 10.11947/j.AGCS.2016.F039

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The SSA+FBPF Method and Its Application on Extracting the Periodic Term from BeiDou Satellite Clock Bais

XIAO Shenghong1,2, WANG Guocheng3, TU Yi4   

  1. 1. Beijing Satellite Navigation Center, Beijing 100094, China;
    2. Shanghai Astronomical Observatory, CAS, Shanghai 200030, China;
    3. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, CAS, Wuhan 430077, China;
    4. College of Civil Engineering and Architecture, China Three Gorges University, Hubei Yichang 443002, China
  • Received:2016-11-25 Revised:2016-12-20 Online:2017-05-20 Published:2017-05-20
  • Supported by:

    SSA;Fourier band-pass filtering;the satellite clock bias of BD;periodic term

Abstract:

The frequency aliasing often exists when reconstructing the periodic signals using the singular spectrum analysis (SSA) method, the precision of the boundary value extracting by Fourier band-pass filtering (FBPF) is often not precise enough because of the influence of the residual trend term. In view of these kinds of situation, a combined method that joints SSA and Fourier band-pass filter method (SSA+FBPF) is proposed, the signal reconstructed by SSA is filtered by Fourier band-pass filter after SSA. The simulation results show that the reconstruction precision using SSA+FBPF method can improve 35% and 26% relative to that using the SSA and FBPF methods, respectively, in the case SNR is 0.017. These demonstrate that the SSA+FBPF method can reduce greatly the edge effect and has good robustness. The amplitudes of the 24 h terms obtained by the SSA+FBPF method from the BeiDou satellite clock PC06 and PC07 show that they have significantly variation.

Key words: SSA, Fourier band-pass filtering, the satellite clock bias of BD, periodic term

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