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Snow Depth Estimation Based on Multipath Phase Combination of GPS Triple-Frequency Signals
Yu, Kegen1,2; Ban, Wei1; Zhang, Xiaohong1,2; Yu, Xingwang3
2015-09-01
摘要Snow is important to the ecological and climate systems; however, current snowfall and snow depth in situ observations are only available sparsely on the globe. By making use of the networks of Global Positioning System (GPS) stations established for geodetic applications, it is possible to monitor snow distribution on a global scale in an inexpensive way. In this paper, we propose a new snow depth estimation approach using a geodetic GPS station, multipath reflectometry and a linear combination of phase measurements of GPS triple-frequency (L1, L2, and L5) signals. This phase combination is geometry free and is not affected by ionospheric delays. Analytical linear models are first established to describe the relationship between antenna height and spectral peak frequency of combined phase time series, which are calculated based on theoretical formulas. When estimating snow depth in real time, the spectral peak frequency of the phase measurements is obtained, and then the model is used to determine snow depth. Two experimental data sets recorded in two different environments were used to test the proposed method. The results demonstrate that the proposed method shows an improvement with respect to existing methods on average.
关键词Global Navigation Satellite Systems multipath reflectometry (GNSS-MR) multipath phase combination snow depth estimation triple-frequency signals
DOI10.1109/TGRS.2015.2417214
发表期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
卷号53期号:9页码:5100-5109
通讯作者Yu, KG (reprint author), Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China.
收录类别SCI
WOS记录号WOS:000356159000029
语种英语