A Predictive Model of Multipath Effect Contribution to GNSS Positioning Error for GNSS-based Applications in Transport and Telecommunications


  • Darko Špoljar Faculty of Engineering, University of Rijeka, Croatia
  • Ivan Štajduhar Faculty of Engineering, University of Rijeka, Croatia
  • Kristijan Lenac Faculty of Engineering, University of Rijeka, Croatia
  • Renato Filjar Krapina University of Applied Sciences, Croatia




GNSS, positioning performance, multipath, statistical modelling


Global Navigation Satellite System (GNSS)-based applications rely on the quality of the GNSS position, navigation, and timing (PNT) services, accomplished through measurement and processing of satellite signals propagation characteristics in a process commonly known as satellite navigation. GNSS positioning performance is in the foundation of the quality of service of GNSS-based applications including the growing number of them in transport, traffic and Intelligent Transport Systems segments, thus a need for a common and independent approach. Here, we propose a novel method for the assessment of the contribution of a single cause to the over-all GNSS positioning error. Proposed method is demonstrated in the case of the GNSS multipath effects, resulting with the experimental predictive model of the direct multipath contribution to GNSS positioning error. The predictive models developed in this research is aimed at deployment in the GNSS positioning performance assessment for GNSS-based applications in transport and telecommunications.


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How to Cite

Špoljar, D., Štajduhar, I., Lenac, K., & Filjar, R. (2021). A Predictive Model of Multipath Effect Contribution to GNSS Positioning Error for GNSS-based Applications in Transport and Telecommunications. The Journal of CIEES, 1(2), 7–13. https://doi.org/10.48149/jciees.2021.1.2.1