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GPS坐标时间序列广义共模误差分离方法
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  • 英文篇名:A general common mode error filtering method for GPS coordinate time series
  • 作者:贺小星 ; 姜卫平 ; 周晓慧 ; 鲁铁定
  • 英文作者:HE Xiaoxing;JIANG Weiping;ZHOU Xiaohui;LU Tieding;School of Geodesy and Geomatics,Wuhan University;School of Civil Engineering and Architecture,East China Jiaotong University;GNSS Research Center, Wuhan University;Faculty of Geomatics,East China University of Technology;
  • 关键词:GPS坐标时间序列 ; 共模误差 ; 空间滤波 ; 噪声模型估计
  • 英文关键词:GPS coordinate time series;;common mode error;;spatial filtering;;noise model estimation
  • 中文刊名:CHKD
  • 英文刊名:Science of Surveying and Mapping
  • 机构:武汉大学测绘学院;华东交通大学土木建筑学院;武汉大学卫星导航定位技术研究中心;东华理工大学测绘工程学院;
  • 出版日期:2018-04-19 09:28
  • 出版单位:测绘科学
  • 年:2018
  • 期:v.43;No.244
  • 基金:国家杰出青年科学基金项目(41525014);; 国家自然科学基金项目(41674005,41804007);; 中国博士后科学基金项目(2018M632909);; 现代工程测量国家测绘地理信息局重点实验室项目(TJES1810)
  • 语种:中文;
  • 页:CHKD201810002
  • 页数:9
  • CN:10
  • ISSN:11-4415/P
  • 分类号:11-19
摘要
共模误差是GPS坐标时间序列的主要误差来源之一。针对传统的共模误差分离方法存在一定的局限性,甚至分离出错误的共模误差分量问题,该文根据共模误差的潜在起源,提出了一种依据地理环境因素、多尺度评价体系的GPS时间序列广义共模误差分离方法。该方法将相关系数、距离、经纬度、本地效应、地表环境负载效应、主分量贡献率、噪声模型特性等作为评价因子,为大区域、大尺度下GPS坐标序列共模误差,提供了可行的估计方法。实验分析结果表明,该文提出的共模误差分离方法能准确提取出GPS坐标序列中的共模误差,为进一步提高GPS坐标序列精度提供依据。
        Common mode error(CME)is one of the main error source of global positioning system(GPS)coordinate time series.Aiming at the problem that the traditional CME separation methods have some limitations,and even separate the wrong CME components,according to potential origin of CME,an improved general CME filtering method for GPS time series was proposed based on geographical factors together with multi-scale evaluation system,which took correlation coefficient,distance,latitude and longitude,local effects,contribution rate of principal component and other geographical factors into consideration for estimating CME in large scale GPS networks.Better spatial filtering results could be obtained with the proposed method and provide a basis for further improving the accuracy of GPS coordinate time series model.
引文
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