Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92762
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Title: A computation effective range-based 3D mapping aided GNSS with NLOS correction method
Authors: Ng, HF 
Zhang, G 
Hsu, LT 
Issue Date: Nov-2020
Source: Journal of navigation, Nov. 2020, v. 73, no. 6, p. 1202-1222
Abstract: Global navigation satellite system (GNSS) positioning in dense urban areas remains a challenge due to the signal reflection by buildings, namely multipath and non-line-of-sight (NLOS) reception. These effects degrade the performance of low-cost GNSS receivers such as in those smartphones. An effective three-dimensional (3D) mapping aided GNSS positioning method is proposed to correct the NLOS error. Instead of applying ray-tracing simulation, the signal reflection points are detected based on a skyplot with the surrounding building boundaries. The measurements of the direct and reflected signals can thus be simulated and further used to determine the user's position based on the measurement likelihood between real measurements. Verified with real experiments, the proposed algorithm is able to reduce the computational load greatly while maintaining a positioning accuracy within 10 metres of error in dense urban environments, compared with the conventional method of ray-tracing based NLOS corrected positioning.
Keywords: 3D building model
3DMA GNSS
NLOS
Urban canyon
Publisher: Cambridge University Press
Journal: Journal of navigation 
ISSN: 0373-4633
EISSN: 1469-7785
DOI: 10.1017/S037346332000003X
Rights: This article has been published in a revised form in the Journal of Navigation https://doi.org/10.1017/S037346332000003X. This version is free to view and download for private research and study only. Not for re-distribution or re-use. © The Royal Institute of Navigation 2020.
When citing an Accepted Manuscript or an earlier version of an article, the Cambridge University Press requests that readers also cite the Version of Record with a DOI link. The article is subsequently published in revised form in the Journal of Navigation https://dx.doi.org/10.1017/S037346332000003X.
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