Volume 39 Issue 6
Nov.  2019
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WANG Jianping, LIU Ruiyuan, DENG Zhongxin. Interpolation Evaluation of Ionospheric TEC Based on Autocorrelation Analysis Method[J]. Chinese Journal of Space Science, 2019, 39(6): 738-745. doi: 10.11728/cjss2019.06.738
Citation: WANG Jianping, LIU Ruiyuan, DENG Zhongxin. Interpolation Evaluation of Ionospheric TEC Based on Autocorrelation Analysis Method[J]. Chinese Journal of Space Science, 2019, 39(6): 738-745. doi: 10.11728/cjss2019.06.738

Interpolation Evaluation of Ionospheric TEC Based on Autocorrelation Analysis Method

doi: 10.11728/cjss2019.06.738
  • Received Date: 2018-11-14
  • Rev Recd Date: 2019-04-09
  • Publish Date: 2019-11-15
  • In the ionospheric TEC monitoring system, there are often multiple, long-term missing values in one day, which have an impact on the study of the spatio-temporal variation characteristics of the ionospheric TEC. Based on the statistical analysis of measured data in 2004, ionospheric TEC interpolation and accuracy evaluation are studied by using of autocorrelation analysis method. Using the data of the Shanghai GPS integrated application network and the Chinese crustal movement GPS monitoring network, it is converted into the vertical TEC of the ionosphere, and the missing values are time-interpolated. The results show that the interpolation error in the missing value segment is generally larger in the middle, while smaller on both sides, and the interpolation error is much smaller than the mean square error. The interpolation results of autocorrelation analysis method are compared with the results of linear interpolation, parabolic method and cubic spline interpolation method. It is found that the accuracy of interpolation is obviously improved for the missing value segment with relatively complex changes. After the interpolation, the jump change caused by the missing value is effectively reduced by the autocorrelation method and the TEC variation characteristics can be studied more accurately.

     

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