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dc.contributor.authorEl-Mowafy, Ahmed
dc.contributor.authorDeo, M.
dc.contributor.authorRizos, C.
dc.identifier.citationEl-Mowafy, A. and Deo, M. and Rizos, C. 2016. On biases in precise point positioning with multi-constellation and multi-frequency GNSS data. Measurement Science and Technology. 27 (3): pp. 1-10.

© 2016 IOP Publishing Ltd. Various types of biases in Global Navigation Satellite System (GNSS) data preclude integer ambiguity fixing and degrade solution accuracy when not being corrected during precise point positioning (PPP). In this contribution, these biases are first reviewed, including satellite and receiver hardware biases, differential code biases, differential phase biases, initial fractional phase biases, inter-system receiver time biases, and system time scale offset. PPP models that take account of these biases are presented for two cases using ionosphere-free observations. The first case is when using primary signals that are used to generate precise orbits and clock corrections. The second case applies when using additional signals to the primary ones. In both cases, measurements from single and multiple constellations are addressed. It is suggested that the satellite-related code biases be handled as calibrated quantities that are obtained from multi-GNSS experiment products and the fractional phase cycle biases obtained from a network to allow for integer ambiguity fixing. Some receiver-related biases are removed using between-satellite single differencing, whereas other receiver biases such as inter-system biases are lumped with differential code and phase biases and need to be estimated. The testing results show that the treatment of biases significantly improves solution convergence in the float ambiguity PPP mode, and leads to ambiguity-fixed PPP within a few minutes with a small improvement in solution precision.

dc.titleOn biases in precise point positioning with multi-constellation and multi-frequency GNSS data
dc.typeJournal Article
dcterms.source.titleMeasurement Science and Technology

This is an author-created, un-copyedited version of an article accepted for publication in Measurement Science and Technology. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at

curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusOpen access

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