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5G Positioning: An Analysis of Early Datasets

Global Navigation Satellite Systems (GNSSs) are nowadays the prevailing technology for positioning and navigation. However, with the roll-out of 5G technology, there is a shift towards ‘hybrid positioning’: indeed, 5G time-of-arrival (ToA) measurements can provide additional ranging for positioning,...

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Detalles Bibliográficos
Autores principales: Pileggi, Chiara, Grec, Florin Catalin, Biagi, Ludovico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675248/
https://www.ncbi.nlm.nih.gov/pubmed/38005611
http://dx.doi.org/10.3390/s23229222
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author Pileggi, Chiara
Grec, Florin Catalin
Biagi, Ludovico
author_facet Pileggi, Chiara
Grec, Florin Catalin
Biagi, Ludovico
author_sort Pileggi, Chiara
collection PubMed
description Global Navigation Satellite Systems (GNSSs) are nowadays the prevailing technology for positioning and navigation. However, with the roll-out of 5G technology, there is a shift towards ‘hybrid positioning’: indeed, 5G time-of-arrival (ToA) measurements can provide additional ranging for positioning, especially in environments where few GNSS satellites are visible. This work reports a preliminary analysis, the processing, and the results of field measurements collected as part of the GINTO5G project funded by ESA’s EGEP programme. The data used in this project were shared by the European Space Agency (ESA) with the DICA of Politecnico di Milano as part of a collaboration within the ESALab@PoliMi research framework established in 2022 between the two organizations. The ToA data were collected during a real-world measurement campaign and they cover a wide range of user environments, such as indoor areas, outdoor open sky, and outdoor obstructed scenarios. Within the test area, eleven self-made replica 5G base stations were set up. A trolley, carrying a self-made 5G receiver and a data storage unit, was moved along predefined trajectories; the trolley’s accurate trajectories were determined by a total station, which provided benchmark positions. In the present work, the 5G data are processed using the least squares method, testing and comparing different strategies. Therefore, the primary goal is to evaluate algorithms for position determination of a user based on 5G observations, and to empirically assess their accuracy. The results obtained are promising, with positional accuracy ranging from decimeters to a few meters in the worst cases.
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spelling pubmed-106752482023-11-16 5G Positioning: An Analysis of Early Datasets Pileggi, Chiara Grec, Florin Catalin Biagi, Ludovico Sensors (Basel) Article Global Navigation Satellite Systems (GNSSs) are nowadays the prevailing technology for positioning and navigation. However, with the roll-out of 5G technology, there is a shift towards ‘hybrid positioning’: indeed, 5G time-of-arrival (ToA) measurements can provide additional ranging for positioning, especially in environments where few GNSS satellites are visible. This work reports a preliminary analysis, the processing, and the results of field measurements collected as part of the GINTO5G project funded by ESA’s EGEP programme. The data used in this project were shared by the European Space Agency (ESA) with the DICA of Politecnico di Milano as part of a collaboration within the ESALab@PoliMi research framework established in 2022 between the two organizations. The ToA data were collected during a real-world measurement campaign and they cover a wide range of user environments, such as indoor areas, outdoor open sky, and outdoor obstructed scenarios. Within the test area, eleven self-made replica 5G base stations were set up. A trolley, carrying a self-made 5G receiver and a data storage unit, was moved along predefined trajectories; the trolley’s accurate trajectories were determined by a total station, which provided benchmark positions. In the present work, the 5G data are processed using the least squares method, testing and comparing different strategies. Therefore, the primary goal is to evaluate algorithms for position determination of a user based on 5G observations, and to empirically assess their accuracy. The results obtained are promising, with positional accuracy ranging from decimeters to a few meters in the worst cases. MDPI 2023-11-16 /pmc/articles/PMC10675248/ /pubmed/38005611 http://dx.doi.org/10.3390/s23229222 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pileggi, Chiara
Grec, Florin Catalin
Biagi, Ludovico
5G Positioning: An Analysis of Early Datasets
title 5G Positioning: An Analysis of Early Datasets
title_full 5G Positioning: An Analysis of Early Datasets
title_fullStr 5G Positioning: An Analysis of Early Datasets
title_full_unstemmed 5G Positioning: An Analysis of Early Datasets
title_short 5G Positioning: An Analysis of Early Datasets
title_sort 5g positioning: an analysis of early datasets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675248/
https://www.ncbi.nlm.nih.gov/pubmed/38005611
http://dx.doi.org/10.3390/s23229222
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