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共模误差对坐标时间序列分析的影响 被引量:1

Influence of Common Mode Error on Coordinate Time Series Analysis
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摘要 基于2013年至2018年环渤海地区GPS基站6年的观测数据,研究了共模误差对坐标时间序列分析的影响。首先利用主成分分析方法提取环渤海区域27个基准站的共模误差,以N、E、U三个方向的第一主成分来计算共模误差;然后使用最大似然估计法得到各测站剔除共模误差前后的噪声。发现在消除共模误差后,N,E,U方向的相对坐标时间序列得到改善,白噪声,闪烁噪声和随机行走噪声明显减小。结果表明,共模误差的剔除有效的提高了坐标时间序列分析的精度。 Based on the observation data of the GPS base station in the Bohai Rim region from 2013 to 2018 for 6 years, the influence of common mode error on the coordinate time series analysis is studied. Firstly, the principal component analysis method is used to extract the common mode error of 27 reference stations in the Bohai Sea area, and the common principal error is calculated by the first principal components in the three directions of N, E and U. Then the maximum likelihood estimation method is used to eliminate the common mode. The noise of the station before and after the error was estimated. It is found that after eliminating the common mode error, the relative coordinate time series of N, E and U directions are improved, and the magnitudes of white noise, flicker noise and random walk noise in all directions are significantly reduced. The results show that the rejection of common mode error effectively improves the accuracy of coordinate time series analysis.
作者 孙阳 徐爽 崔志浩 周海龙 SUN Yang;XU Shuang;CUI Zhihao;ZHOU Hailong(College of Geomatics, Shandong University of Science and Technology, Qingdao Shandong 266590, China)
出处 《北京测绘》 2020年第1期113-117,共5页 Beijing Surveying and Mapping
关键词 共模误差 主成分分析 时间序列分析 common mode error principal component analysis time series analysis
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