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Weiqiang Li
Researcher at Spanish National Research Council
Publications - 57
Citations - 900
Weiqiang Li is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: GNSS applications & Global Positioning System. The author has an hindex of 13, co-authored 50 publications receiving 568 citations. Previous affiliations of Weiqiang Li include Beihang University & Institut de Ciències de l'Espai.
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First Spaceborne Phase Altimetry over Sea Ice Using TechDemoSat-1 GNSS-R Signals†
TL;DR: In this paper, a track of sea ice reflected Global Navigation Satellite System (GNSS) signal collected by the TechDemoSat-1 mission is processed to perform phase altimetry over sea ice.
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Assessment of Spaceborne GNSS-R Ocean Altimetry Performance Using CYGNSS Mission Raw Data
TL;DR: This article assesses the ocean altimetry performance of spaceborne Global Navigation Satellite Systems reflectometry (GNSS-R) by processing the raw data sets collected by the Cyclone GNSS (CYGNSS) constellation, and shows good consistency with the theoretical model.
Journal ArticleDOI
Revisiting the GNSS-R Waveform Statistics and Its Impact on Altimetric Retrievals
TL;DR: This paper analyzes the ocean altimetry precision of global navigation satellite systems’ reflectometry (GNSS-R) by characterizing the noise statistics of the measured waveform by derive an analytical model of the waveform statistics after incoherent averaging.
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Lake Level and Surface Topography Measured With Spaceborne GNSS-Reflectometry From CYGNSS Mission: Example for the Lake Qinghai
Journal ArticleDOI
First Precise Spaceborne Sea Surface Altimetry With GNSS Reflected Signals
Estel Cardellach,Weiqiang Li,Antonio Rius,Maximilian Semmling,Jens Wickert,Florian Zus,Christopher S. Ruf,Carlo Buontempo +7 more
TL;DR: This work presents the first implementation of GA carrier phase sea surface altimetry using data acquired from a spaceborne platform and transmitted from both GPS and Galileo constellations, and indicates that the resulting precision and spatio–temporal resolution would contribute to resolving some submesoscale ocean signals.