GNSS Multipath Error Modeling for Automotive Applications

Samer Khanafseh, Birendra Kujur, Mathieu Joerger, Todd Walter, Sam Pullen, Juan Blanch, Kevin Doherty, Laura Norman, Lance de Groot, Boris Pervan

Abstract: In this paper, we provide GNSS multipath error models for automotive applications by leveraging methods used in aviation applications. These error models are intended for navigation integrity and continuity risk evaluation. We provide error models for code and carrier phase GNSS measurements under both static and dynamic multipath environments. The dynamic dataset was collected in realistic driving conditions for a vehicle traveling in an urban canyon and on a highway with overpasses and road signs. The static test was conducted in a more controlled environment, first, to precisely evaluate measurement errors under open sky, and then, to quantify the effect on multipath error of a semi-truck next to a car equipped with a commercial GNSS antenna. In this paper, we characterize the errors by the mean and standard deviation of a bounding Gaussian distribution and by the autocorrelation time constant of the measurement errors.
Published in: Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018)
September 24 - 28, 2018
Hyatt Regency Miami
Miami, Florida
Pages: 1573 - 1589
Cite this article: Khanafseh, Samer, Kujur, Birendra, Joerger, Mathieu, Walter, Todd, Pullen, Sam, Blanch, Juan, Doherty, Kevin, Norman, Laura, de Groot, Lance, Pervan, Boris, "GNSS Multipath Error Modeling for Automotive Applications," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 1573-1589. https://doi.org/10.33012/2018.16107
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