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基于多通道奇异谱分析的GNSS坐标时间序列共模误差的提取
引用本文:周茂盛,郭金运,沈毅,孔巧丽,袁佳佳.基于多通道奇异谱分析的GNSS坐标时间序列共模误差的提取[J].地球物理学报,2018,61(11):4383-4395.
作者姓名:周茂盛  郭金运  沈毅  孔巧丽  袁佳佳
作者单位:山东科技大学测绘科学与工程学院, 青岛 266590
基金项目:国家自然科学基金(41774001,41704015,41374009),国家科技基础性工作专项(2015FY310200),山东省自然科学基金(ZR2017MD032),山东科技大学科研创新团队支持计划(2014TDJH101)资助.
摘    要:共模误差是区域连续GNSS网中存在的一种与时空相关的主要误差源.为了有效的剔除共模误差,提高坐标时间序列的精度,本文提出了利用多通道奇异谱分析(Multi-channel Singular Spectrum Analysis,MSSA)提取共模误差的新思路,并利用实验区域18个测站9年(2002年到2010年)的GPS坐标时间序列进行实验,分析了共模误差对时间序列的影响和测站噪声特性的影响,并对共模误差序列进行周期探测,结果显示:通过MSSA能够有效的剔除共模误差,提高坐标时间序列的精度.

关 键 词:GNSS  坐标时间序列  多通道奇异谱分析  共模误差  噪声  
收稿时间:2017-11-16

Extraction of common mode errors of GNSS coordinate time series based on multi-channel singular spectrum analysis
ZHOU MaoSheng,GUO JinYun,SHEN Yi,KONG QiaoLi,YUAN JiaJia.Extraction of common mode errors of GNSS coordinate time series based on multi-channel singular spectrum analysis[J].Chinese Journal of Geophysics,2018,61(11):4383-4395.
Authors:ZHOU MaoSheng  GUO JinYun  SHEN Yi  KONG QiaoLi  YUAN JiaJia
Institution:College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Abstract:The spatially and temporally correlated common mode errors (CMEs) are the primary error sources in daily GPS solutions in the regional GPS network. In order to effectively remove these errors and improve the accuracy of the coordinate time series, this paper proposes a new idea to extract the common mode error by multi-channel singular spectrum analysis (MSSA). Experiments on this method are carried out using the data of 18 GPS stations from 2002 to 2010 in the west coast of the United States. The results show that the MSSA can effectively eliminate the common mode errors and enhance the accuracy of the coordinate time series.
Keywords:GNSS  Coordinate time series  Multi-channel singular spectrum analysis  Common mode error  Noise
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