大空间GPS网共模误差剔除研究

详细信息    查看全文 | 推荐本文 |

英文篇名：Research on Elimination of Common Mode Error in Large-Scale GPS Networks 作者：王健 ; 周晓慧 ; 朱兆涵 ; 梁林林 英文作者：WANG Jian;ZHOU Xiaohui;ZHU Zhaohan;LIANG Linlin;School of Geodesy and Geomatics,Wuhan University;State Key Laboratory of Geodesy and Earth's Dynamics,Institute of Geodesy and Geophysics,CAS;University of Chinese Academy of Sciences; 关键词：GPS时间序列 ; 叠加滤波 ; 共模误差 ; PCA ; KLE 英文关键词：GPS time series;;stacking filtering;;CME;;PCA;;KLE 中文刊名：DKXB 英文刊名：Journal of Geodesy and Geodynamics 机构：武汉大学测绘学院;中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室;中国科学院大学; 出版日期：2018-01-15 出版单位：大地测量与地球动力学 年：2018 期：v.38 基金：国家杰出青年科学基金(41525014);; 国家自然科学基金(41304007,41210006)~~ 语种：中文; 页：DKXB201801019 页数：5 CN：01 ISSN：42-1655/P 分类号：82-86

摘要

利用叠加滤波、PCA、KLE 3种方法对欧洲区域平均基线长度为2 000km的大空间GPS网12个IGS站9a(2006-01~2014-12)的观测数据进行处理,分析对比3种方法剔除共模误差的效果。结果显示,3种方法剔除百分比分别为25.87%、41.48%、35.72%,滤波后坐标精度明显提高;对于较大的GPS观测网,相对于叠加滤波,PCA和KLE法效果更好,可以显示不同站点的空间特征。
        The data of 12 continuous GPS reference stations from Jan 1 st,2006 to Dec 31 st,2014 are computed and compared using stacking filtering,PCA,and KLE methods.The mean baseline of these GPS sites is 2 000 km.After common mode error is removed,the mean RMS of coordinate time series declined 69%,60% and 41%in N,E,U directions respectively,and position precision is highly improved.For large-scale GPS Networks,PCA and KLE methods can reveal spatial patterns of different sites,more effectively than the stacking filtering method.

引文

[1]Wdowinski S,Bock Y,Zhang J,et al.Southern California Permanent GPS Geodetic Array:Spatial Filtering of Daily Positions for Estimating Coseismic and Postseismic Displacements Induced by the 1992Landers Earthquake[J].Journal of Geophysical Research:Solid Earth,1997,102(B8):18 057-18 070
    [2]Nikolaidis R.Observation of Geodetic and Seismic Deformation with the Global Positioning System[D].San Diego:University of California,2002
    [3]Dong D,Fang P,Bock Y,et al.Spatiotemporal Filtering Using Principal Component Analysis and Karhunen‐Loeve Expansion Approaches for Regional GPS Network Analysis[J].Journal of Geophysical Research Atmospheres,2006,111(B3)
    [4]田云锋,沈正康.GPS观测网络中共模分量的相关加权叠加滤波[J].地震学报,2011,33(2):198-208(Tian Yunfeng,Shen Zhengkang.Correlation Weighted Stacking Filtering of Common-Mode Component in GPS Obsvervation Network[J].Acta Seismologica Sinica,2011,33(2):198-208)
    [5]田云锋.GPS位置时间序列中的中长期误差研究[D].北京:中国地震局地质研究所,2011(Tian Yunfeng.Study on Intermediate-and Long-term Errors in GPS Position Time Series[D].Beijing:Institute of Geology,CEA,2011)
    [6]Li W W,Shen Y Z,Li B F.Weighted Spatiotemporal Filtering Using Principal Component Analysis for Analyzing Regional GNSS Position Time Series[J].Acta Geodaetica et Geophysica,2015,50(4):1-18
    [7]敖敏思,胡友健,赵斌,等.PCA和KLE在高采样率GPS定位中的应用[J].大地测量与地球动力学,2011,31(6):145-150(Ao Minsi,Hu Youjian,Zhao Bin,et al.Application of PCA and KLE to high-rate positioning[J].Journal of Geodesy and Geodynamics,2011,31(6):145-150)
    [8]殷海涛,甘卫军,熊永良,等.PCA空间滤波在高频GPS定位中的应用研究[J].武汉大学学报:信息科学版,2011,36(7):825-829(Yin Haitao,Gan Weijun,Xiong Yongliang,et al.Study on the Effect of PCA Spatial Filtering on Highrate GPS Positioning[J].Geomatics and Information Science of Wuhan University,2011,36(7):825-829)
    [9]袁林果,丁晓利,陈武,等.香港GPS基准站坐标序列特征分析[J].地球物理学报,2008,51(5):1372-1384(Yuan Linguo,Ding Xiaoli,Chen Wu,et al.Characterisrics of Daily Position Time Series from the Hong Kong GPS Fiducial Network[J].Chinese Journal of Geophysics,2008,51(5):1 372-1 384)
    [10]胡守超,伍吉仓,孙亚峰.区域GPS网三种时空滤波方法的比较[J].大地测量与地球动力学,2009,29(3):95-99(Hu Shouchao,Wu Jicang,Sun Yafeng.Comparison among Three Spatiotemporal Filtering Methods for Regional GPS Networks Analysis[J].Journal of Geodesy and Geodynamics,2009,39(3):95-99)
    [11]贺小星,花向红,周世健,等.PCA与KLE相结合的区域GPS网坐标序列分析[J].测绘科学,2014,39(7):113-117(He Xiaoxing,Hua Xianghong,Zhou Shijian,et al.Discussion on Geological Evaluation of Plateau Airport Engineering Using Remote Sensing and Geoscience Knowledge[J].Science of Surveying and Mapping,2014,39(7):113-117)