High-Frequency Water Level Study Based on Multi-System GNSS-IR
DOI:
https://doi.org/10.54097/5xvfbv19Keywords:
GNSS-IR, sliding window, SNR, high-frequency.Abstract
Accurate and high-frequency sea level monitoring is crucial in oceanic and global climate studies, but traditional techniques have their limitations. Over the past few decades, the application of Global Navigation Satellite System Multipath Reflection (GNSS-MR) in sea level monitoring has rapidly developed. Recently, the availability of more GNSS signals is expected to bring new opportunities to enhance its performance and achieve high spatiotemporal resolution. To fully utilize short-term multipath oscillation information, we conducted a GNSS-IR experiment using observation data from the BRST station in the first half of September 2024. The sliding window method was applied to collect Signal-to-Noise Ratio (SNR) sequences, and indicators such as peak-to-noise ratio and kurtosis were used to select appropriate spectral results. This enabled high-frequency water level monitoring with a 5-minute interval, achieving a correlation coefficient of over 0.9 and accuracy at the decimeter level, validating the performance and application prospects of GNSS-IR for water level monitoring.
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