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Galileo High Accuracy Service SDR implementation
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0009-0007-3574-5626
University of Colorado Boulder, United States.
University of Colorado Boulder, United States.
2023 (English)In: Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023, Institute of Navigation, 2023, p. 2476-2493Conference paper, Published paper (Refereed)
Abstract [en]

GNSS positioning has become a key element in everyday life of millions of people, from the person using google maps to move around an unknown city to the mailman or the DRON pilot who require it to carry out their work. All of them benefit in some way from the GNSS constellations and the position algorithms. The European Union through their GNSS constellation, Galileo, has recently made available a new service called Galileo High Accuracy Service (HAS). With the aim of improving the positioning solutions already provided by the Open Service (OS) to a centimetric level with the target of professional and commercial users requiring this high accuracy. As a result, in this paper, the steps of the development and implementation of a Software-Defined Radio to collect the High Accuracy corrections transmitted through Galileo GNSS constellation are going to be shown, as well as the implementation of this results in the Galileo E1C SDR and a performance comparison between Standard E1C (OS) SDR vs E1C (HAS) SDR. The SDR itself is going to be made available so that other persons from companies to academia can benefit from it and see how the corrections are extracted and either use the algorithm or implement its own to be able to use this High Accuracy Service. © 2023 Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023. All rights reserved.

Place, publisher, year, edition, pages
Institute of Navigation, 2023. p. 2476-2493
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-25992DOI: 10.33012/2023.19192Scopus ID: 2-s2.0-85184611822ISBN: 9780936406350 (print)OAI: oai:DiVA.org:bth-25992DiVA, id: diva2:1841250
Conference
36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023, Denver, 11 September through 15 September 2023
Available from: 2024-02-28 Created: 2024-02-28 Last updated: 2024-11-27Bibliographically approved

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Quilis Alfonso, Carles

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