Volume 44 Issue 9
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WU Hao, LU Nan, ZOU Jingui, GUO Shitai. An Improved 3σ Gross Error Detection Method for GNSS Deformation Monitoring Time Series[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1282-1288. DOI: 10.13203/j.whugis20170338
Citation: WU Hao, LU Nan, ZOU Jingui, GUO Shitai. An Improved 3σ Gross Error Detection Method for GNSS Deformation Monitoring Time Series[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1282-1288. DOI: 10.13203/j.whugis20170338
shu

An Improved 3σ Gross Error Detection Method for GNSS Deformation Monitoring Time Series

  • 1.

    College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China

  • 2.

    School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China

  • 3.

    School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

Funds: 

The National Key Research and Development Program of China 2017YFE0109500

the National Natural Science Foundation of China 41671406

the Natural Science Foundation of Hubei Province 2016CFA013

the Natural Science Foundation of Hubei Province 2016AHB015

More Information
  • Author Bio:

    WU Hao, PhD, professor, specializes in application technology of earth observation and GNSS. E-mail:haowu1977@163.com

  • Received Date: June 24, 2018
  • Published Date: September 04, 2019
    Graphical Abstract
    • Abstract
  • Aiming at the characteristics of quantity and fluctuation range on the gross error from global navigation satellite system (GNSS) deformation monitoring time series, we propose an improved 3σ method of gross error detection based on wavelet analysis. We use simulated data and actual engineering data, and compare the detection results with the traditional 3σ method and inter-quartile range (IQR) method respectively. The experimental results show that compared with the traditional 3σ method and IQR method, the improved 3σ method not only has better effect on the overall detection rate, but also has more obvious advantages in detecting 3σ to 5σ gross error. Thus, it is more suitable for the actual requirement of GNSS deformation monitoring project.
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    • References (19)
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