Application in Analysis of coordinate series based on the Singular Spectral Analysis

Abstract:

Singular spectrum analysis (SSA) was introduced to data processing of station coordinates, including treatment of missing values, identification and extraction of trends and cycles. Singular spectrum analysis，a statistical technique with reconstruction and empirical orthogonal function, can effectively extract trends and cycles from the limited scale of the time series with noise. Hence, SSA has been applied to various time series analysis. It took advantages of the singular spectrum analysis and applied SSA to the process of GPS time series. Coordinate time series from Crustal Movement Observation Network of China GPS data services was used by SSA for treatment of missing values (MSE of interpolation at every direction are in millimeter degree), reconstruction and extraction of trend (N:-11.688mm/a,E:29.585mm/a,U:2.557mm/a) and cycle components (N:0.5a、1a, E:1a, U:0.25a、0.5a、1a、1.5a). The results showed that obvious trend, significant cycles and noise do exist in each direction of BJFS.