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Based on Singular Spectrum Analysis in the Study of GPS Time Series Analysis

  • Ronghai QiuEmail author
  • Yingyan Cheng
  • Hu Wang
  • Xiaoming Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 340)

Abstract

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 spectrum iteration 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.

Keywords

Singular spectrum analysis Trend Period Smooth effect Noise 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Ronghai Qiu
    • 1
    • 2
    Email author
  • Yingyan Cheng
    • 1
  • Hu Wang
    • 1
  • Xiaoming Wang
    • 3
  1. 1.Chinese Academy of Surveying and MappingBeijingChina
  2. 2.Institute of Surveying and Mapping Science and EngineeringShandong University of Science and TechnologyQingdaoChina
  3. 3.SPACE Research Centre, School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia

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