Paper Info
Title
Snow Depth Estimation Based on Combination of Pseudorange and Carrier Phase of GNSS Dual-Frequency Signals
Abstract
Global navigation satellite system reflectometry (GNSS-R) is a new remote sensing technique, which can be used to measure a wide range of geophysical parameters. GNSS-R makes use of the simultaneous reception of the direct transmission and the coherent surface reflections of the GNSS signal with either a single antenna or multiple separate antennas. This paper presents a new snow depth estimation method using a combination of pseudorange and carrier phase of GNSS dual-frequency signals. The proposed method is geometry-free and is not affected by ionospheric delays. The formulas of the amplitude attenuation factor of reflected signals, multipath-induced carrier-phase error, and pesudorange error for ground-based GNSS receivers are used to describe the combined signals. Using theoretical formulas instead of in situ measurement data, analytical linear models are established in advance to describe the relationship between snow depth and main frequency of combined signal time series. When the main frequency of the combined measurements is obtained by spectrum analysis, 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 there exists good agreement between the proposed method and the ground-truth measurements.
Year
DOI
Venue
2019
10.1109/TGRS.2018.2869284
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Global navigation satellite system,Snow,Estimation,Receiving antennas,Signal to noise ratio
Pseudorange,Linear model,Satellite system,Signal-to-noise ratio,Remote sensing,GNSS applications,Reflectometry,Amplitude,Snow,Mathematics
Journal
Volume
Issue
ISSN
57
3
0196-2892
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Kegen Yu155657.05
Yun Wei Li221135.19
Xin Chang353.12