Abstract:The results of simulation experiments show that SSA can separate and extract the periodic signal and trends, effectively reduce noise of which the standard deviation is lower than the signal amplitude, and detect singular points in signals. Through applying SSA to data processing of earth tilt and strain in Dandong, Xuzhou and Jingxian stations, the results indicate that SSA can extract components of long trends of the data, separate tidal waves effectively, and identify the rain interference components of which the periodic signal is about 7 to 15 days. These results have some reference implications for disturbing rejection and extracting exception. Finally, after significant data validation, we summarize choice of the experience embedding dimension when SSA is used for tilt and strain data.
ZHAO Jiajia,CHEN Zhiyao,ZHANG Yan et al. Research on Application of Singular Spectrum Analysis in Data Processing of Earth Tilt and Strain[J]. jgg, 2017, 37(5): 541-545.