SURVEY REVIEW, vol.1, no. , pp.1-14, 2025 (SCI-Expanded)
Quality control is a crucial step in GNSS-IR data processing and is performed in this study usingtwo methods: the peak-to-noise ratio and K-means clustering. Both quality control methods areapplied to the SNR data at the MERS, TRBZ, and SNOP sites. K-means clustering shows betterperformance for the MERS GPS L1, Galileo L1, and SNOP GPS L2, while the peak-to-noise ratioshows better performance for the TRBZ GPS L1. The correlation coefficient between the GNSS-IR sea levels from the L1 signal and tide gauge is greater than 85%. These results demonstratethat K-means clustering is promising for quality control.