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ISPRS Int. J. Geo-Inf. 2017, 6(1), 6; doi:10.3390/ijgi6010006

Kinematic Precise Point Positioning Using Multi-Constellation Global Navigation Satellite System (GNSS) Observations

School of Environment Science and Spatial Informatics,, China University of Mining and Technology, Xuzhou 221116, China
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Author to whom correspondence should be addressed.
Academic Editors: Zhao-Liang Li, Jose A. Sobrino, Chao Ren and Wolfgang Kainz
Received: 8 September 2016 / Revised: 4 December 2016 / Accepted: 26 December 2016 / Published: 5 January 2017
(This article belongs to the Special Issue Recent Advances in Geodesy & Its Applications)
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Abstract

Multi-constellation global navigation satellite systems (GNSSs) are expected to enhance the capability of precise point positioning (PPP) by improving the positioning accuracy and reducing the convergence time because more satellites will be available. This paper discusses the performance of multi-constellation kinematic PPP based on a multi-constellation kinematic PPP model, Kalman filter and stochastic models. The experimental dataset was collected from the receivers on a vehicle and processed using self-developed software. A comparison of the multi-constellation kinematic PPP and real-time kinematic (RTK) results revealed that the availability, positioning accuracy and convergence performance of the multi-constellation kinematic PPP were all better than those of both global positioning system (GPS)-based PPP and dual-constellation PPP. Multi-constellation kinematic PPP can provide a positioning service with centimetre-level accuracy for dynamic users. View Full-Text
Keywords: multi-constellation; PPP; convergence time; positioning accuracy multi-constellation; PPP; convergence time; positioning accuracy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yu, X.; Gao, J. Kinematic Precise Point Positioning Using Multi-Constellation Global Navigation Satellite System (GNSS) Observations. ISPRS Int. J. Geo-Inf. 2017, 6, 6.

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