GNSS World of China

Volume 44 Issue 5
Oct.  2019
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MA Feihu, YUE Xiangnan, HE Xiaoxing, JIN Yichen. Analysis of influence of CME on noise model and velocity estimation of IGS base station coordinate sequence[J]. GNSS World of China, 2019, 44(5): 47-54. doi: DOI:10.13442/j.gnss.1008-9268.2019.05.007
Citation: MA Feihu, YUE Xiangnan, HE Xiaoxing, JIN Yichen. Analysis of influence of CME on noise model and velocity estimation of IGS base station coordinate sequence[J]. GNSS World of China, 2019, 44(5): 47-54. doi: DOI:10.13442/j.gnss.1008-9268.2019.05.007

Analysis of influence of CME on noise model and velocity estimation of IGS base station coordinate sequence

doi: DOI:10.13442/j.gnss.1008-9268.2019.05.007
  • Publish Date: 2019-10-15
  • In this paper, the coordinate time series of 50 IGS base stations are taken as the research object. The BIC model estimation criterion is used to estimate and analyze the four combined noise characteristics. The influence of CME on the IGS base station coordinate time series noise model and station velocity is discussed. The results show that CME can lead to the biased estimation of the noise model of the IGS base station coordinate sequence, and affect the accuracy of the station velocity. When the base station velocity parameter is accurately estimated, the CME should be corrected. After the CME correction, the annual motion of the IGS base station has an amplitude. The decrease is more obvious in the elevation direction, indicating that the filtered IGS base station annual motion is relatively stable.

     

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  • [1]
    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.
    [2]
    WDOWINSKI S, BOCK Y, ZANG J, et al. Southern California permanent GPS geodetic array: Spatial filtering of daily positions for estimating coseismic and postseismic displacements induced by the 1992 Landers earthquake[J]. Journal of Geophysical Research, 1997, 1021(B8):18057-18070. DOI: 10.1029/97JB01378.
    [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, 2006, 111(B3):B03405. DOI: 10.1029/2005JB003806.
    [4]
    HE X X, HUA X H, YU K G, et al. Accuracy enhancement of GPS time series using principal component analysis and block spatial filtering[J]. Advances in Space Research, 2015, 55(5):1316-1327. DOI: 10.1016/J.ASR.2014-12-016.
    [5]
    常金龙, 甘卫军, 梁诗明, 等. 大华北地区GPS时间序列共模误差的确定与分析[J]. 地震研究, 2018, 41(3): 430-437.
    [6]
    王健, 周晓慧, 朱兆涵, 等. 大空间GPS网共模误差剔除研究[J]. 大地测量与地球动力学, 2018,38(1):78-82.
    [7]
    贺小星, 姜卫平, 周晓慧, 等. GPS坐标时间序列广义共模误差分离方法[J]. 测绘科学, 2018, 43(10):7-15.
    [8]
    明锋, 杨元喜, 曾安敏. 共模误差PCA与ICA提取方法的比较[J]. 大地测量与地球动力学, 2017,37(4):385-389.
    [9]
    陆轶材, 高成发, 郭奇. 结合IGS分析中心产品的轨道综合算法及其精度分析[J]. 测绘通报, 2018,494(5):11-15,34.
    [10]
    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):113-117,97.
    [11]
    贺小星. GPS台站时间序列分析及其地壳形变应用[D].上海:东华理工大学,2013.
    [12]
    HE X X, MONTILLET J P, HUA X H, et al. Noise analysis for environmental loading effect on GPS time series[J]. Acta Geodynamical et Geomaterialia, 2017, 14(1):131-142. DOI: 10.13168/AGG.2016-0034.
    [13]
    BOS M S, FERNANDES R M S, WILLIAMS S D P, et al. Fast error analysis of continuous GNSS observations with missing data[J]. Journal of Geodesy, 2013, 87(4):351-360. DOI: 10.1007/s00190-012-0605-0.
    [14]
    符养, 肖义国, 韩英, 等. 利用TOPEX卫星测高资料研究全球海面高周年和半周年波动传播规律[J]. 地球物理学报, 2006, 49(6):1635-1643.
    [15]
    杨强, 党亚民, 秘金钟. 基于IGS连续跟踪站的GPS高程时间序列分析[J]. 测绘科学, 2007, 32(3):55-56,27.
    [16]
    高峻. 地壳高程方向周年运动特征的监测与研究[D].青岛: 山东科技大学, 2010.
    [17]
    孙付平, 田亮, 门葆红, 等. GPS测站周年运动与温度变化的相关性研究[J]. 测绘学报, 2012, 41(5):723-728.
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