基于TEQC的数据批量预处理程序实现与应用

Efficient Application of GPS Data Preprocessing Based on TEQC

  • 摘要: 利用Python对TEQC软件进行二次开发,编制了qualitycheck.py和unificate.py程序,实现了数据的格式标准化和质量检查的功能,此程序有批处理、高效率、跨平台、结果可靠等优点。利用实测数据进行实验,对原始观测数据进行格式标准化和质量检查,结果表明利用文中开发的程序进行预处理的效率和便利程度有了非常显著的提高。同时,根据质量检查结果对观测数据进行相应处理,并使用GAMIT/GLOBK软件进行基线解算,通过对比分析结果表明,经过预处理后的数据有效地提高了基线解算的精度。

     

    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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