Cargando…

T-RAIM Approaches: Testing with Galileo Measurements

Several applications rely on time retrieved from Global Navigation Satellite System (GNSS), and this pushes for integrity tailored to timing. Integrity information could be broadcast by GNSS itself, but currently, there are no GNSSs providing such integrity information for a timing application. The...

Descripción completa

Detalles Bibliográficos
Autor principal: Gioia, Ciro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961898/
https://www.ncbi.nlm.nih.gov/pubmed/36850881
http://dx.doi.org/10.3390/s23042283
_version_ 1784895869338779648
author Gioia, Ciro
author_facet Gioia, Ciro
author_sort Gioia, Ciro
collection PubMed
description Several applications rely on time retrieved from Global Navigation Satellite System (GNSS), and this pushes for integrity tailored to timing. Integrity information could be broadcast by GNSS itself, but currently, there are no GNSSs providing such integrity information for a timing application. The integrity provided by GNSS itself could not be timely enough for real time users and does not include local effects due to multipath or other local interferences. In order to fill the gap, integrity can be locally/autonomously computed by the receiver using Timing Receiver Autonomous Integrity Monitoring (T-RAIM) algorithms. Three T-RAIM algorithms have been designed, implemented, and tested; specifically, the algorithms are Forward-Backward (FB), Danish, and Subset. The algorithms are applied to the classical Position Velocity and Timing (PVT) solution and to the time-only case assuming the receiver coordinates are known. Tests using two identical receivers located in different scenarios, open-sky and obstructed, have been carried out to validate the algorithms proposed. The increased redundancy obtained from the knowledge of the receiver coordinates play a fundamental role for the integrity algorithms performance. The benefits of the T-RAIM algorithms activation, in signal degraded conditions, clearly emerged in terms of frequency error and Allan Deviation (ADEV). A small increase of the execution time has been observed when the T-RAIM algorithms are used.
format Online
Article
Text
id pubmed-9961898
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99618982023-02-26 T-RAIM Approaches: Testing with Galileo Measurements Gioia, Ciro Sensors (Basel) Article Several applications rely on time retrieved from Global Navigation Satellite System (GNSS), and this pushes for integrity tailored to timing. Integrity information could be broadcast by GNSS itself, but currently, there are no GNSSs providing such integrity information for a timing application. The integrity provided by GNSS itself could not be timely enough for real time users and does not include local effects due to multipath or other local interferences. In order to fill the gap, integrity can be locally/autonomously computed by the receiver using Timing Receiver Autonomous Integrity Monitoring (T-RAIM) algorithms. Three T-RAIM algorithms have been designed, implemented, and tested; specifically, the algorithms are Forward-Backward (FB), Danish, and Subset. The algorithms are applied to the classical Position Velocity and Timing (PVT) solution and to the time-only case assuming the receiver coordinates are known. Tests using two identical receivers located in different scenarios, open-sky and obstructed, have been carried out to validate the algorithms proposed. The increased redundancy obtained from the knowledge of the receiver coordinates play a fundamental role for the integrity algorithms performance. The benefits of the T-RAIM algorithms activation, in signal degraded conditions, clearly emerged in terms of frequency error and Allan Deviation (ADEV). A small increase of the execution time has been observed when the T-RAIM algorithms are used. MDPI 2023-02-17 /pmc/articles/PMC9961898/ /pubmed/36850881 http://dx.doi.org/10.3390/s23042283 Text en © 2023 by the author. 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
Gioia, Ciro
T-RAIM Approaches: Testing with Galileo Measurements
title T-RAIM Approaches: Testing with Galileo Measurements
title_full T-RAIM Approaches: Testing with Galileo Measurements
title_fullStr T-RAIM Approaches: Testing with Galileo Measurements
title_full_unstemmed T-RAIM Approaches: Testing with Galileo Measurements
title_short T-RAIM Approaches: Testing with Galileo Measurements
title_sort t-raim approaches: testing with galileo measurements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961898/
https://www.ncbi.nlm.nih.gov/pubmed/36850881
http://dx.doi.org/10.3390/s23042283
work_keys_str_mv AT gioiaciro traimapproachestestingwithgalileomeasurements