@inproceedings{ff0e165856184ef6b4b91cbba7066ff1,
title = "GNSS multipath error modeling for automotive applications",
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.",
author = "Samer Khanafseh and Birendra Kujur and Mathieu Joerger and Todd Walter and Sam Pullen and Juan Blanch and Kevin Doherty and Laura Norman and {de Groot}, Lance and Boris Pervan",
note = "Publisher Copyright: {\textcopyright} 2018 Institute of Navigation. All rights reserved.; 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018 ; Conference date: 24-09-2018 Through 28-09-2018",
year = "2018",
doi = "10.33012/2018.16107",
language = "English (US)",
series = "Proceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018",
publisher = "Institute of Navigation",
pages = "1573--1589",
booktitle = "Proceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018",
address = "United States",
}