Abstract:In order to enhance the signal-to-noise ratio (SNR) of signal extraction, the singular spectrum analysis (SSA) method is used to decompose and reconstruct the geodesic height time series, using the simulation experiment to determine the principle of selecting the embedding dimension and the number of truncated principal components. Furthermore, the SSA method is applied to the extraction of deformation information of CORS. By FFT analysis, we find that the geodetic height time series mainly consists of decomposed seasonal variation components, and the standard deviation of time series after reconstruction is significantly reduced. Our research shows that the SSA method can effectively improve the geodetic height time series SNR of CORS and play a role in noise reduction and smoothing. The research results have certain significance for the expression of vertical deformation of the crust and the expansion of SSA applications.
LI Wanqiu,WANG Wei,ZHANG Chuanyin et al. Deformation Signal Extraction of Geodetic Height Change Time Series of CORS Based on Singular Spectrum Analysis[J]. jgg, 2019, 39(8): 825-831.