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Modeling and assessment of triple-frequency BDS precise point positioning

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Abstract

The latest generation of GNSS satellites such as GPS BLOCK-IIF, Galileo and BDS are transmitting signals on three or more frequencies, thus having more choices in practice. At the same time, new challenges arise for integrating the new signals. This paper contributes to the modeling and assessment of triple-frequency PPP with BDS data. First, three triple-frequency PPP models are developed. The observation model and stochastic model are designed and extended to accommodate the third frequency. In particular, new biases such as differential code biases and inter-frequency biases as well as the parameterizations are addressed. Then, the relationships between different PPP models are discussed. To verify the triple-frequency PPP models, PPP tests with real triple-frequency data were performed in both static and kinematic scenarios. Results show that the three triple-frequency PPP models agree well with each other. Additional frequency has a marginal effect on the positioning accuracy in static PPP tests. However, the benefits of third frequency are significant in situations of where there is poor tracking and contaminated observations on frequencies B1 and B2 in kinematic PPP tests.

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Acknowledgments

The authors gratefully acknowledge IGS Multi-GNSS Experiment (MGEX) for providing GNSS data and products. We appreciate anonymous reviewers for their valuable comments and improvements to this manuscript. Thanks also go to the National Natural Science Foundation of China (No: 41404006, No: 41474025) and the Open Research Fund of State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing (No. 15P02).

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Authors and Affiliations

  1. School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China

    Fei Guo, Xiaohong Zhang & Xiaodong Ren

  2. Key Laboratory of Geophysical Geodesy, National Administration of Surveying Mapping and Geoinformation, 129 Luoyu Road, Wuhan, 430079, China

    Fei Guo & Xiaohong Zhang

  3. Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan, 430079, China

    Fei Guo & Xiaohong Zhang

  4. School of Civil and Environment Engineering, UNSW Australia, Sydney, NSW, 2052, Australia

    Jinling Wang

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  1. Fei Guo
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  2. Xiaohong Zhang
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  3. Jinling Wang
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  4. Xiaodong Ren
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Correspondence to Xiaohong Zhang.

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Guo, F., Zhang, X., Wang, J. et al. Modeling and assessment of triple-frequency BDS precise point positioning. J Geod 90, 1223–1235 (2016). https://doi.org/10.1007/s00190-016-0920-y

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