M
Min Li
Researcher at Chinese Academy of Sciences
Publications - 26
Citations - 673
Min Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: GNSS applications & TEC. The author has an hindex of 14, co-authored 25 publications receiving 458 citations.
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Joint estimation of vertical total electron content (VTEC) and satellite differential code biases (SDCBs) using low-cost receivers
TL;DR: This work presents a single-frequency (SF) approach, enabling the joint estimation of VTEC and SDCBs using low-cost receivers, and clarifies how SF approach performs when being applied to GPS L1 data collected by a single receiver under both calm and disturbed ionospheric conditions.
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A modified carrier-to-code leveling method for retrieving ionospheric observables and detecting short-term temporal variability of receiver differential code biases
TL;DR: The Modified CCL (MCCL) is capable of excluding the effects of time-varying rDCB from the ionospheric observables, which improves the quality of ionsospheric parameters of interest and has significant potential as a means to detect between-epoch fluctuations experienced by r DCB of a single receiver.
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Real-Time Precise Point Positioning (RTPPP) with raw observations and its application in real-time regional ionospheric VTEC modeling
TL;DR: Results show that slant ionospheric delays from RTPPP are more precise and have a much better convergence performance than those from the CCL method in real-time processing.
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Interplanetary spacecraft navigation using pulsars
Xinping Deng,Xinping Deng,George Hobbs,X. P. You,Min Li,Michael Keith,Ryan Shannon,William A. Coles,R. N. Manchester,Jinglan Zheng,X.Z. Yu,Dan Gao,Xiaocong Wu,D. Chen +13 more
TL;DR: In this article, the Parkes radio telescope was used to provide archival observations of millisecond pulsars from the radio telescope to help navigate a spacecraft travelling in the solar system.
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Monitoring the ionosphere based on the Crustal Movement Observation Network of China
Yunbin Yuan,Zishen Li,Ningbo Wang,Baocheng Zhang,Baocheng Zhang,Hui Li,Hui Li,Min Li,Xingliang Huo,Xingliang Huo,Jikun Ou +10 more
TL;DR: A series of approaches for GNSS-based ionospheric remote sensing and software has been proposed and developed by the Institute of Geodesy and Geophysics (IGG) in Wuhan as discussed by the authors.