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GNSS Performance Modelling and Augmentation for Urban Air Mobility †

One of the primary challenges facing Urban Air Mobility (UAM) and the safe integration of Unmanned Aircraft Systems (UAS) in the urban airspace is the availability of robust, reliable navigation and Sense-and-Avoid (SAA) systems. Global Navigation Satellite Systems (GNSS) are typically the primary s...

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Detalles Bibliográficos
Autores principales: Bijjahalli, Suraj, Sabatini, Roberto, Gardi, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806056/
https://www.ncbi.nlm.nih.gov/pubmed/31569812
http://dx.doi.org/10.3390/s19194209
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author Bijjahalli, Suraj
Sabatini, Roberto
Gardi, Alessandro
author_facet Bijjahalli, Suraj
Sabatini, Roberto
Gardi, Alessandro
author_sort Bijjahalli, Suraj
collection PubMed
description One of the primary challenges facing Urban Air Mobility (UAM) and the safe integration of Unmanned Aircraft Systems (UAS) in the urban airspace is the availability of robust, reliable navigation and Sense-and-Avoid (SAA) systems. Global Navigation Satellite Systems (GNSS) are typically the primary source of positioning for most air and ground vehicles and for a growing number of UAS applications; however, their performance is frequently inadequate in such challenging environments. This paper performs a comprehensive analysis of GNSS performance for UAS operations with a focus on failure modes in urban environments. Based on the analysis, a guidance strategy is developed which accounts for the influence of urban structures on GNSS performance. A simulation case study representative of UAS operations in urban environments is conducted to assess the validity of the proposed approach. Results show improved accuracy (approximately 25%) and availability when compared against a conventional minimum-distance guidance strategy.
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spelling pubmed-68060562019-11-07 GNSS Performance Modelling and Augmentation for Urban Air Mobility † Bijjahalli, Suraj Sabatini, Roberto Gardi, Alessandro Sensors (Basel) Article One of the primary challenges facing Urban Air Mobility (UAM) and the safe integration of Unmanned Aircraft Systems (UAS) in the urban airspace is the availability of robust, reliable navigation and Sense-and-Avoid (SAA) systems. Global Navigation Satellite Systems (GNSS) are typically the primary source of positioning for most air and ground vehicles and for a growing number of UAS applications; however, their performance is frequently inadequate in such challenging environments. This paper performs a comprehensive analysis of GNSS performance for UAS operations with a focus on failure modes in urban environments. Based on the analysis, a guidance strategy is developed which accounts for the influence of urban structures on GNSS performance. A simulation case study representative of UAS operations in urban environments is conducted to assess the validity of the proposed approach. Results show improved accuracy (approximately 25%) and availability when compared against a conventional minimum-distance guidance strategy. MDPI 2019-09-27 /pmc/articles/PMC6806056/ /pubmed/31569812 http://dx.doi.org/10.3390/s19194209 Text en © 2019 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bijjahalli, Suraj
Sabatini, Roberto
Gardi, Alessandro
GNSS Performance Modelling and Augmentation for Urban Air Mobility †
title GNSS Performance Modelling and Augmentation for Urban Air Mobility †
title_full GNSS Performance Modelling and Augmentation for Urban Air Mobility †
title_fullStr GNSS Performance Modelling and Augmentation for Urban Air Mobility †
title_full_unstemmed GNSS Performance Modelling and Augmentation for Urban Air Mobility †
title_short GNSS Performance Modelling and Augmentation for Urban Air Mobility †
title_sort gnss performance modelling and augmentation for urban air mobility †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806056/
https://www.ncbi.nlm.nih.gov/pubmed/31569812
http://dx.doi.org/10.3390/s19194209
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