GPS Coordinate Series Denoising and Seasonal Signal
Extraction Based on SSA
1 School of Geosciences and Info-Physics, Central South University, 932 South-Lushan Road,Changsha 410083,China
2 Zhengzhou City Municipal Engineering Design & Research Institute Zhengzhou, 1 Minsheng Road,Zhenzhou 450052, China
Abstract Singular Spectrum Analysis (SSA) is one method of generalized power spectrum analysis and it is able to identify and enhance signal stability, especially the periodic signal. It therefore has good application in the time series analysis. GPS coordinate series analysis is currently a hot issue. This paper studies GPS coordinate time series denoising and seasonal signal extraction based on SSA. Through analysis of simulation experimental data and GPS measurement data, as well as comparison with empirical mode decomposition (EMD) and wavelet analysis, numerical results show that SSA, EMD and wavelet analysis are effective denoising methods, but that the SSA denoising performance is superior and can separate the cycle information from the GPS time series more effectively and stably.
