Efficient Application of GPS Data Preprocessing Based on TEQC

  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.