Constructive Use of MP/NLOS bias of GNSS Pseudoranges: Performance Analysis by Type of Environment

N. Kbayer, M. Sahmoudi

Peer Reviewed

Abstract:	The several progress of the free-accessible global navigation satellites system (GNSS) is not without major hurdles and challenges in it course of application in urban setting. Several error sources in these environments such as multipath and non-line-of-sight (NLOS) reception, signal masking and poor constellation geometry hinder the required positioning accuracy by GNSS signals. Facing this pressing need for performance enhancement in NLOS conditions, a new trend of approaches seek a constructive use of these degraded signals by correcting ranging measurements, using a 3D GNSS simulator for instance. However, this approach may engender a great risk of deteriorating PR measurements instead of correcting them if the compensation term is not accurate enough. Therefore, we propose in this paper to address the influence of PR bias estimation on the performances of this positioning method based on the correction of PR measurement. This original study permits us defining the maximum level of inaccuracy on bias estimation that any 3D GNSS simulator, or other tools, mustn’t exceed. A detailed study on this most acceptable level of inaccuracy on the PR bias estimation is performed using real GNSS data in Toulouse and encompass analysis by type of environment (Urban, Peri-urban and rural environments) and by type of GNSS signals.
Published in:	Proceedings of the 2017 International Technical Meeting of The Institute of Navigation January 30 - 2, 2017 Hyatt Regency Monterey Monterey, California
Pages:	1360 - 1368
Cite this article:	Kbayer, N., Sahmoudi, M., "Constructive Use of MP/NLOS bias of GNSS Pseudoranges: Performance Analysis by Type of Environment," Proceedings of the 2017 International Technical Meeting of The Institute of Navigation, Monterey, California, January 2017, pp. 1360-1368. https://doi.org/10.33012/2017.14938
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