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Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors

In this paper, multipath error on Global Navigation Satellite System (GNSS) signals in urban environments is characterized with the help of Light Detection and Ranging (LiDAR) measurements. For this purpose, LiDAR equipment and Global Positioning System (GPS) receiver implementing a multipath estima...

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Detalles Bibliográficos
Autores principales: Ali, Khurram, Chen, Xin, Dovis, Fabio, De Castro, David, Fernández, Antonio J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522930/
https://www.ncbi.nlm.nih.gov/pubmed/23202177
http://dx.doi.org/10.3390/s121114592
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author Ali, Khurram
Chen, Xin
Dovis, Fabio
De Castro, David
Fernández, Antonio J.
author_facet Ali, Khurram
Chen, Xin
Dovis, Fabio
De Castro, David
Fernández, Antonio J.
author_sort Ali, Khurram
collection PubMed
description In this paper, multipath error on Global Navigation Satellite System (GNSS) signals in urban environments is characterized with the help of Light Detection and Ranging (LiDAR) measurements. For this purpose, LiDAR equipment and Global Positioning System (GPS) receiver implementing a multipath estimating architecture were used to collect data in an urban environment. This paper demonstrates how GPS and LiDAR measurements can be jointly used to model the environment and obtain robust receivers. Multipath amplitude and delay are estimated by means of LiDAR feature extraction and multipath mitigation architecture. The results show the feasibility of integrating the information provided by LiDAR sensors and GNSS receivers for multipath mitigation.
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spelling pubmed-35229302013-01-09 Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors Ali, Khurram Chen, Xin Dovis, Fabio De Castro, David Fernández, Antonio J. Sensors (Basel) Article In this paper, multipath error on Global Navigation Satellite System (GNSS) signals in urban environments is characterized with the help of Light Detection and Ranging (LiDAR) measurements. For this purpose, LiDAR equipment and Global Positioning System (GPS) receiver implementing a multipath estimating architecture were used to collect data in an urban environment. This paper demonstrates how GPS and LiDAR measurements can be jointly used to model the environment and obtain robust receivers. Multipath amplitude and delay are estimated by means of LiDAR feature extraction and multipath mitigation architecture. The results show the feasibility of integrating the information provided by LiDAR sensors and GNSS receivers for multipath mitigation. Molecular Diversity Preservation International (MDPI) 2012-10-30 /pmc/articles/PMC3522930/ /pubmed/23202177 http://dx.doi.org/10.3390/s121114592 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ali, Khurram
Chen, Xin
Dovis, Fabio
De Castro, David
Fernández, Antonio J.
Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors
title Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors
title_full Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors
title_fullStr Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors
title_full_unstemmed Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors
title_short Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors
title_sort multipath estimation in urban environments from joint gnss receivers and lidar sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522930/
https://www.ncbi.nlm.nih.gov/pubmed/23202177
http://dx.doi.org/10.3390/s121114592
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