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Galileo Signal and Positioning Performance Analysis Based on Four IOV Satellites

Published online by Cambridge University Press:  29 April 2014

Changsheng Cai ,
Xiaomin Luo ,
Zhizhao Liu  and
Qinqin Xiao
Changsheng Cai
Affiliation:
(School of Geosciences and Info-Physics, Central South University, Changsha, China)
Xiaomin Luo
Affiliation:
(School of Geosciences and Info-Physics, Central South University, Changsha, China)
Zhizhao Liu*
Affiliation:
(Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China)
Qinqin Xiao
Affiliation:
(School of Municipal and Surveying Engineering, Hunan City University, Yiyang, China)
*
(E-mail: lszzliu@polyu.edu.hk)
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Abstract

With the availability of Galileo signals from four in-orbit validation (IOV) satellites, positioning with Galileo-only observations has become possible, which allows us to assess its positioning performance. The performance of the Galileo system is evaluated in respect of carrier-to-noise density ratio (C/N0), pseudorange multipath (including noise), Galileo broadcast satellite orbit and satellite clock errors, and single point positioning (SPP) accuracy in Galileo-only mode as well as in GPS/Galileo combined mode. The precision of the broadcast ephemeris data is assessed using the precise satellite orbit and clock products from the Institute of Astronomical and Physical Geodesy of the Technische Universität München (IAPG/TUM) as references. The GPS-Galileo time offset (GGTO) is estimated using datasets from different types of GNSS receivers and the results indicate that a systematic bias exists between different receiver types. Positioning solutions indicate that Galileo-only SPP can achieve a three-dimensional position accuracy of about six metres. The integration of Galileo and GPS data can improve the positioning accuracies by about 10% in the vertical components compared with GPS-only solutions.

Keywords

GalileoNavigationGPS

Information

Type
Research Article
Information
The Journal of Navigation , Volume 67 , Issue 5 , September 2014 , pp. 810 - 824
Copyright
Copyright © The Royal Institute of Navigation 2014 

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