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Lin Pan

Researcher at Wuhan University

Publications -  16
Citations -  435

Lin Pan is an academic researcher from Wuhan University. The author has contributed to research in topics: Precise Point Positioning & GNSS applications. The author has an hindex of 10, co-authored 16 publications receiving 260 citations. Previous affiliations of Lin Pan include Central South University.

Papers
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Characteristics of inter-frequency clock bias for Block IIF satellites and its effect on triple-frequency GPS precise point positioning

TL;DR: A triple-frequency PPP model that takes the IFCB into account is proposed and can be improved by 19, 13 and 21 % compared with the L1/L2-based PPP in the east, north and up directions, respectively.
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Satellite availability and point positioning accuracy evaluation on a global scale for integration of GPS, GLONASS, BeiDou and Galileo

TL;DR: The results indicate that the multi-constellation integration can significantly improve the availability and positioning accuracy and the enhancement of compatibility can also improve the available.
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Performance Evaluation of Single-frequency Precise Point Positioning with GPS, GLONASS, BeiDou and Galileo

TL;DR: A FCSF-PPP model is presented to simultaneously process observations from all four GNSS constellations and the results indicate that the positioning performance is significantly improved by integrating multi-constellation signals.
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GPS inter-frequency clock bias estimation for both uncombined and ionospheric-free combined triple-frequency precise point positioning

TL;DR: In this article, the authors proposed an inter-frequency clock bias (IFCB) estimation approach for triple-frequency PPP based on either uncombined (UC) observations or ionospheric-free (IF) combined observations within a single arbitrary combination.
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Multi-GNSS fractional cycle bias products generation for GNSS ambiguity-fixed PPP at Wuhan University

TL;DR: The results demonstrate that the SGG FCB service can provide high-precision and reliable four-system FCB corrections for worldwide users to conduct ambiguity-fixed PPP processing.