Volume 46 Issue 1
Jan.  2020
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LIU Yutong, LI Rui, BAO Junjie, et al. Outlier detection of ionospheric anomaly data in China[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(1): 133-140. doi: 10.13700/j.bh.1001-5965.2019.0152(in Chinese)
Citation: LIU Yutong, LI Rui, BAO Junjie, et al. Outlier detection of ionospheric anomaly data in China[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(1): 133-140. doi: 10.13700/j.bh.1001-5965.2019.0152(in Chinese)

Outlier detection of ionospheric anomaly data in China

doi: 10.13700/j.bh.1001-5965.2019.0152
More Information
  • Corresponding author: LI Rui, E-mail:lee_ruin@263.net
  • Received Date: 04 Apr 2019
  • Accepted Date: 08 Jun 2019
  • Publish Date: 20 Jan 2020
  • To solve the problem that continuously operating reference stations' receiver's outliers in China will interfere with ionospheric anomaly event extraction of satellite-based augmentation system (SBAS), an outlier detection method based on the ionospheric vertical delay time gradient is proposed. First, ionospheric delay data extraction method was introduced. Then, the ionospheric vertical delay time gradient outlier was detected based on the different spatio-temporal correlation characteristics of outlier and ionospheric anomaly. The correctness of outlier detection was verified by single-frequency and dual-frequency positioning error results. Finally, the detection results were analyzed. The results show that the method can effectively distinguish between outliers and ionospheric anomalies; among more than 200 reference stations of crustal movement observation network of China, the number of reference stations rejected by the outlier detection is about 3 to 10, and the effect on the spatial distribution of the ionospheric penetration points is within an acceptable range.

     

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