欧洲地区共模误差提取及分析

发布时间：2018-11-21 10:10

【摘要】：针对跨度较长时间序列共模误差噪声特征研究较少,选择空间滤波的方法对较长时间序列进行分析以满足参考框架建立的需要。选取欧洲地区58个IGS基准站2001—2011年的坐标时间序列,采用区域叠加滤波法、分区区域叠加滤波法和相关系数加权叠加滤波法求取共模误差,并以滤波后时间序列相关系数和残差时间序列标准差为标准对其进行对比分析;进而,利用极大似然估计的方法对每个区域共模误差及滤波前后坐标时间序列进行噪声分析。结果表明:分区区域叠加滤波法最适合欧洲地区共模误差的提取;共模误差主要成分是闪烁噪声,也包含白噪声、随机漫步噪声等;当时间序列长度较长时,N、E方向受共模误差影响较小,可忽略,U方向受共模误差影响较大,需要考虑。
[Abstract]:In view of the lack of research on the noise characteristics of common mode error in long span time series, the spatial filtering method is chosen to analyze the long time series to meet the need of establishing the reference frame. The coordinate time series of 58 IGS reference stations in Europe from 2001 to 2011 are selected, and the common mode errors are obtained by using the region superposition filtering method, the zonal superposition filtering method and the correlation coefficient weighted superposition filtering method. The correlation coefficient of filtered time series and the standard deviation of residual time series are compared and analyzed. Furthermore, the maximum likelihood estimation method is used to analyze the common mode error of each region and the time series of coordinates before and after filtering. The results show that the zonal region superposition filtering method is the most suitable for the common mode error extraction in Europe, and the main components of the common mode error are flashing noise, white noise, random walk noise and so on. When the length of the time series is longer, the influence of common-mode error on the direction of Nwe E is small and can be ignored, and the direction of U is greatly affected by the common-mode error, which needs to be considered.
【作者单位】：武汉大学测绘学院;铁道第三勘察设计院集团有限公司;武汉大学卫星导航定位技术研究中心;湖南省国土资源规划院;
【基金】：国家自然科学基金项目(41374033)
【分类号】：P228.4

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