K
Kan Wang
Researcher at Curtin University
Publications - 56
Citations - 617
Kan Wang is an academic researcher from Curtin University. The author has contributed to research in topics: GNSS applications & Global Positioning System. The author has an hindex of 10, co-authored 41 publications receiving 417 citations. Previous affiliations of Kan Wang include University of Stuttgart & ETH Zurich.
Papers
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Journal ArticleDOI
Multi-GNSS PPP-RTK: From Large- to Small-Scale Networks
Nandakumaran Nadarajah,Amir Khodabandeh,Kan Wang,Mazher Choudhury,Peter Teunissen,Peter Teunissen +5 more
TL;DR: Numerical insights are provided into the role taken by the multi-GNSS integration in delivering fast and high-precision positioning solutions (sub-decimeter and centimeter levels) using PPP-RTK.
Journal ArticleDOI
Ambiguity resolution for triple-frequency geometry-free and ionosphere-free combination tested with real data
Kan Wang,Markus Rothacher +1 more
TL;DR: A general method using the ambiguity-corrected phase observations without any constraints to search for the optimal GF and IF linear combination and analytically demonstrates that the noise level of this third linear combination only depends on the three frequencies.
Journal ArticleDOI
Homogeneous reprocessing of GPS, GLONASS and SLR observations
Mathias Fritsche,Krzysztof Sośnica,C. Rodriguez-Solano,Peter Steigenberger,Kan Wang,Reinhard Dietrich,Rolf Dach,Urs Hugentobler,Markus Rothacher +8 more
TL;DR: In this paper, a combined reprocessing of GPS and GLONASS observations was performed to estimate combined GPS+GLONASS satellite clocks, with first results presented in this paper.
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Australia-first high-precision positioning results with new Japanese QZSS regional satellite system
TL;DR: It is demonstrated that instantaneous ambiguity resolution is feasible, despite the relatively poor 4-s satellite receiver-to-satellite positioning geometry over Australia, thus showing that already now centimeter-level stand-alone QZSS positioning is possible with the current 4-Satellite constellation (February–March 2018).
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Five-frequency Galileo long-baseline ambiguity resolution with multipath mitigation
TL;DR: In this article, the authors make use of real Galileo observations on five frequencies with a sampling interval of 1 s to study the formal and empirical ambiguity success rates in case of full ambiguity resolution (FAR), where the multipath effects are mitigated using the measurements of another day when the constellation repeats.