Prediction of RTK-GNSS Performance in Urban Environments Using a 3D model and Continuous LoS Method

Rei Furukawa, Nobuaki Kubo, Ahmed El-Mowafy

Peer Reviewed

Abstract:	To utilize RTK-GNSS in urban areas, it is important to predict areas in which it can be used. The performance of RTKGNSS depends on the geometry and number of visible satellites and signal quality. These parameters can potentially be predicted using simulations that consider the relative geometry between the receiver and surrounding objects. In this study, we first verified whether the GNSS signal quality can be correctly predicted using 3D models of buildings and measurement data. Subsequently, we verified whether the FIX status of RTK can be correctly predicted. The results show that the number of the measured and predicted satellites that have good signal quality was in agreement at least 87.8% of the time. We assessed and categorized the RTK-GNSS fixing status using the number of usable satellites. A comparison of the RTK fixed status estimation, using the actual measurements and those from the simulation, agreed within 83.9% of the total.
Published in:	Proceedings of the 2020 International Technical Meeting of The Institute of Navigation January 21 - 24, 2020 Hyatt Regency Mission Bay San Diego, California
Pages:	763 - 771
Cite this article:	Furukawa, Rei, Kubo, Nobuaki, El-Mowafy, Ahmed, "Prediction of RTK-GNSS Performance in Urban Environments Using a 3D model and Continuous LoS Method," Proceedings of the 2020 International Technical Meeting of The Institute of Navigation, San Diego, California, January 2020, pp. 763-771. https://doi.org/10.33012/2020.17176
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