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Performance Evaluation of Kinematic BDS/GNSS Real-Time Precise Point Positioning for Maritime Positioning

Published online by Cambridge University Press:  18 September 2018

Fuxin Yang ,
Lin Zhao ,
Liang Li ,
Shaojun Feng Open the ORCID record for Shaojun Feng [Opens in a new window]  and
Jianhua Cheng
Fuxin Yang
Affiliation:
(College of Automation, Harbin Engineering University, Harbin 150001, China)
Lin Zhao
Affiliation:
(College of Automation, Harbin Engineering University, Harbin 150001, China)
Liang Li*
Affiliation:
(College of Automation, Harbin Engineering University, Harbin 150001, China)
Shaojun Feng
Affiliation:
(Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, UK)
Jianhua Cheng
Affiliation:
(College of Automation, Harbin Engineering University, Harbin 150001, China)
*
(E-mail: [email protected])
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Abstract

Real-time Precise Point Positioning (PPP) has been evolved as a cost-effective technique for highly precise maritime positioning. For a long period, maritime PPP technology has mainly relied on the Global Positioning System (GPS). With the revitalisation of GLONASS and the emerging BeiDou navigation satellite system (BDS), it is now feasible to investigate real-time navigation performance of multi-constellation maritime PPP with GPS, BDS and GLONASS. In this contribution, we focus on maritime PPP performance using real world maritime kinematic data and real-time satellite correction products. The results show that BDS has lower position accuracy and slower convergence time than GPS. The BDS and GPS combination has the best performance among the dual-constellation configurations. Meanwhile, the integration of BDS, GLONASS and GPS significantly improves the position accuracy and the convergence time. Some outliers in the single constellation configuration can be mitigated when multi-constellation observations are utilised.

Keywords

Precise Point PositioningReal-time Maritime ApplicationsBDSMulti-constellation
Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 1 , January 2019 , pp. 34 - 52
Copyright
Copyright © The Royal Institute of Navigation 2018 

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