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  5. Based on Singular Spectrum Analysis in the study of GPS time series analysis

Based on Singular Spectrum Analysis in the study of GPS time series analysis

来源 :第六届中国卫星导航学术年会 | 被引量 : 0次 | 上传用户：fwj108580853
【摘 要】
：
In this paper,using the singular spectrum analysis (SSA) method for analysis of IGS station of ARTU time series was studied.The SSA-IQR(Singular Spectrum Analysis-Inter Quartile Range) is used to dete
【作 者】
：
QiuRonghai Cheng Yingyan Hu Wang WangXiaoming 
【机 构】
：
China Academy of Surveying and mapping,Beijing;Institute of Surveying and Mapping Science and engine
【出 处】
：
第六届中国卫星导航学术年会
【发表日期】
：
2015年5期
【关键词】
：
Singular spectrumanalysis Trend Period Smooth effect Noise 
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论文部分内容阅读
　　In this paper,using the singular spectrum analysis (SSA) method for analysis of IGS station of ARTU time series was studied.The SSA-IQR(Singular Spectrum Analysis-Inter Quartile Range) is used to detect gross error.Using the method of singular spectrumiteration to fill the gaps of missing datas.This methods can achieve high precision.Singular spectrum analysis method can extract informations effectively to complete the recognition and extraction of trend and cycle item,and it can eliminate noise effectively,to smooth the effect.Experiments show that: ARTU station have trends obviously.Especially the linear trend term.By using the least square fitting the linear trend.Periodic cycle components exist in a variety of parallel.
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