Approach for Self-consistent NLOS Detection in GNSS-Multi-constellation Based Localization

Pierre Reisdorf and Gerd Wanielik

Abstract:	A reliable vehicle positioning is a crucial part of nearly every intelligent transportation system (ITS). While the importance of localization is obvious for certain applications such aThis paper describes a self-consistent approach for the detection of None-Line-Of-Sight (NLOS) measurements for the Global Navigation Satellite Systems (GNSS) receiver. Position localization using satellite systems, like the Global Positioning System (GPS), Glonass, Galileo or Beidou has become standard in recent years for outside positioning. The reception of signals is possible all around the world except in urban areas where conditions are harsh and disturb the positioning result. We have implemented a self-consistent approach to detect NLOS in the measurement domain and use the information for the position estimation process. Our algorithm requires neither additional information from other sources (for example, correction services for RTK, or maps with different features) nor special sensors such as cameras to extend the field of view.
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:	3663 - 3670
Cite this article:	Reisdorf, Pierre, Wanielik, Gerd, "Approach for Self-consistent NLOS Detection in GNSS-Multi-constellation Based Localization," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 3663-3670. https://doi.org/10.33012/2018.15918
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