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一种改进的GPS坐标序列共模误差滤波方法
引用本文:谢玖刚,匡翠林,周要宗.一种改进的GPS坐标序列共模误差滤波方法[J].大地测量与地球动力学,2019,39(9):924-927.
作者姓名:谢玖刚  匡翠林  周要宗
摘    要:提出一种改进的相关加权叠加滤波方法,顾及GPS站点位置残差序列的总体噪声水平,有利于抑制站点自身噪声和残余粗差给共模误差(common-mode error,CME)计算带来的不利影响。该方法采用相关系数作为权重因子,拥有良好的空间响应。选取我国陆态网8个GPS站点的数据对该方法的适用性进行分析,结果表明,相对于相关加权叠加滤波,其拥有更好的性能,均方根(RMS)改进率提高20%左右,能更加准确地提取CME。

关 键 词:GPS坐标时间序列  共模误差  相关加权叠加滤波  

An Improved Method for Filtering Common-Mode Error of GPS Coordinate Time Series
XIE Jiugang,KUANG Cuilin,ZHOU Yaozong.An Improved Method for Filtering Common-Mode Error of GPS Coordinate Time Series[J].Journal of Geodesy and Geodynamics,2019,39(9):924-927.
Authors:XIE Jiugang  KUANG Cuilin  ZHOU Yaozong
Abstract:This paper proposes an improved correlation weighted stacking filtering method. The method takes into account the overall noise level of the GPS station position residual series, which helps to suppress the adverse effects of the site’s own noise and residual gross error on the CME calculation, and uses the correlation coefficient as the weighting factor to generate a good spatial response. Furthermore, the feasibility of the method is analyzed using the GPS time series data of 8 CMONOC stations. The analysis results show that the RMS improvement rate of the method is about 20% relative to correlation weighted stacking filtering, has better performance, and can extract CME more accurately.
Keywords:GPS coordinate time series  common-mode error  correlation weighted stacking filtering  
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