基于SSA的GPS坐标序列去噪及季节信号提取

基于SSA技术对GPS时序的去噪及季节信号分离进行研究。通过对模拟数据及GPS实测数据的分析,并与经验模式分解EMD(empirical mode decomposition)和小波分析方法进行对比,结果表明,SSA、EMD和小波分析均是有效的去噪方法,但SSA去噪性能更优越,且能更有效和稳定地从GPS时序中提取周期项信号。

GPS Coordinate Series Denoising and Seasonal Signal  Extraction Based on SSA

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.