Z
Zishen Li
Researcher at Chinese Academy of Sciences
Publications - 89
Citations - 2540
Zishen Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: GNSS applications & Global Positioning System. The author has an hindex of 21, co-authored 77 publications receiving 1535 citations.
Papers
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Journal ArticleDOI
Determination of differential code biases with multi-GNSS observations
TL;DR: The results indicate that GPS and GLONASS intra-frequency biases obtained in this work show the same precision levels as those estimated by DLR (about 0.1 and 0.4 ns for the two constellations, respectively, with respect to the products of CODE).
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Consistency of seven different GNSS global ionospheric mapping techniques during one solar cycle
David Roma-Dollase,David Roma-Dollase,Manuel Hernández-Pajares,Andrzej Krankowski,Kacper Kotulak,Reza Ghoddousi-Fard,Yunbin Yuan,Zishen Li,Hongping Zhang,Chuang Shi,Cheng Wang,J. Feltens,Panagiotis Vergados,Attila Komjathy,Stefan Schaer,Alberto García-Rigo,Jose M. Gómez-Cama +16 more
TL;DR: A comparison of the performances of all the GIMs created in the frame of IGS, and the main conclusion is the consistency of the results between so many different GIM techniques and implementations.
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Two-step method for the determination of the differential code biases of COMPASS satellites
TL;DR: The results show that the impact of satellites with unstable DCB can be considerably reduced using the I GGDCB method, and it is confirmed that IGGDCB is not only specifically valid for COMPASS but also for all other GNSS.
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SHPTS: towards a new method for generating precise global ionospheric TEC map based on spherical harmonic and generalized trigonometric series functions
TL;DR: In this article, a spherical harmonic plus generalized trigonometric series functions (SHPTS) approach was proposed to improve the accuracy and resolution of global ionospheric TEC map (GIM).
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Extraction of line-of-sight ionospheric observables from GPS data using precise point positioning
TL;DR: The minor extracting errors underlying the PIOs in contrast to the LIOs can be proven by reducing day-to-day scatter and improving between-receiver consistency in the retrieved satellite IFBs values.