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Service and Evaluation of the GPS Triple-Frequency Satellite Clock Offset

Published online by Cambridge University Press:  22 April 2018

Haojun Li ,
Weidong Zhu ,
Rungen Zhao  and
Jiexian Wang
Haojun Li
Affiliation:
(College of Surveying and Geo-Informatics, Tongji University, Shanghai, 200092, P. R. China)
Weidong Zhu*
Affiliation:
(College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, P. R. China)
Rungen Zhao
Affiliation:
(No. 10 Gold party of People's Armed Police Force, Kunming, 650111, P. R. China)
Jiexian Wang
Affiliation:
(College of Surveying and Geo-Informatics, Tongji University, Shanghai, 200092, P. R. China)
*
(E-mail: [email protected])
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Abstract

This paper considers the effect of the biases in Global Positioning System (GPS) observations on satellite clock offset estimation. GPS triple-frequency satellite clock and reference observations are discussed. When the reference observation is selected and the corresponding satellite clock offset is computed, satellite clock offsets for all observations are obtained based on the computed satellite clock offset and the biases between the reference observation and other observations. The characteristics of these biases are analysed, and a service strategy for the GPS triple-frequency satellite clock offset is presented. To evaluate the computed GPS satellite clock offset, the performance in single-point positioning is validated. The positioning results show that the average relative improvements are about 20%, 28% and 19% for north, east and vertical components, when the Differential Code Bias (DCB) (P1-P2), DCB (P1-P5) and modelled Inter-Frequency Clock Bias (IFCB) are corrected. The effect of DCB (P1-P2), DCB (P1-P5) and modelled IFCB on the altitude direction is more evident than on the horizontal directions.

Keywords

Precise point positioningTriple-frequency clockInter-frequency clock bias
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 5 , September 2018 , pp. 1263 - 1273
Copyright
Copyright © The Royal Institute of Navigation 2018 

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