Research on Common Mode Error Extraction Method for Large－Scale GPS Network
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摘要: 基于全球分布均匀且时间跨度大于10a的138个IGS基准站坐标时间序列分析了大空间尺度GPS网基准站坐标时间序列之间的相关性发现部分测站之间的距离超过5 000km时仍存在较显著的相关性针对目前共模误差提取方法存在的不足引入相关系数作为权重因子改进了区域叠加滤波算法 并利用IGS基准站坐标时间序列验证了此方法 结果表明改进后的相关系数加权叠加滤波算法能够有效地提取大空间尺度GPS网坐标时间序列中的共模误差.Abstract: Based on 138evenl y distributed IGS coordinate time series spanning more than 10years site －to－site coefficents in lar ge scale GPS network were anal yzed．Their site －to－site coefficients indicate si gnificant corelationshi p even when the between－site distance more than 5 000km．Thereforethis paper proposes a new method introducing coefficients as weight factor to calculate common mode errorand it improved the correlation－based spatial filterin g techni que．Time series from global and regional networks were used to verif y this new method．The results show that this improved coefficientbased spatial filterin g techni que overcomes the spatial scale limit and effectivel y extracts common mode error of GPS coordinates time series．
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