GNSS World of China

Volume 43 Issue 2
Apr.  2018
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ZHANG Haiping, KONG Zhaolong, JIANG Yingming, ZHOU Maosheng, GAO Shimin, XU Yang. Efficient Application of GPS Data Preprocessing Based on TEQC[J]. GNSS World of China, 2018, 43(2): 109-114. doi: 10.13442/j.gnss.1008-9268.2018.02.020
Citation: ZHANG Haiping, KONG Zhaolong, JIANG Yingming, ZHOU Maosheng, GAO Shimin, XU Yang. Efficient Application of GPS Data Preprocessing Based on TEQC[J]. GNSS World of China, 2018, 43(2): 109-114. doi: 10.13442/j.gnss.1008-9268.2018.02.020
shu

Efficient Application of GPS Data Preprocessing Based on TEQC

doi: 10.13442/j.gnss.1008-9268.2018.02.020
  • 1.

      1.Shandong Provincial Institute of Land Surveying and Mapping, Ji’nan 250102, China.2.College of Geodesy and Geomatics,Shandong University ]of Science and Technology, Qingdao 266590, China

  • Publish Date: 2018-07-05
    Abstract
  •   In this paper, the data preprocessing modules unificate.py and qualitycheck.pyhave been added to TEQC, which are achieved by Python. The two modules provide GPS RINEXdata standardization and quality check functions with batch processing, high efficiency, crossplatform and results reliable features. The original observation data are used formodules test. As the results shows, data preprocessing efficiency and convenience have beenlargely improved. What's more, after preprocessing, the observation data are further processed byGAMIT／GLOBK software. Compared to baseline solution results without preprocessing, the accuracy hasgreatly improved due to the two additional modules.

     

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