Performance analysis of data quality check based on TEQC and Anubis
As mainstream data quality analysis software,TEQC and Anubis (Conversion, Editing, and Quality Check software), have the capability to analyze observational data in different format versions.This study utilized this functionality to analyze four indicators—data completeness, cycle slip ratio, multipath effect, and signal-to-noise ratio—of RINEX 2.11 observational data.Additionally, Anubis was used to analyze diverse content RINEX 3.04 format data with multi-system, multi-frequency points.Results show that Anubis and TEQC have a data completeness difference of less than 0.3％ when observational data is not missing.However, significant variations exist in multipath effect, cycle slip ratio, and signal-to-noise ratio due to calculation methods and software characteristics.Anubis outperforms TEQC in completeness, multipath effect, and cycle slip ratio, while the impact of software differences on signal-to-noise ratio is relatively small.Moreover, Anubis can analyze diverse data with multi-system, multi-frequency points and provides more intuitive and comprehensive data quality analysis through its built-in visualization capabilities.This is crucial for achieving high-precision GNSS positioning.
AnubisTEQCdata quality analysisvisualizationcycle slip ratio
万方数据
维普
