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Network-Based Ionospheric Gradient Monitoring to Support GBAS

Caamano, Maria and Felux, Michael and Gerbeth, Daniel and Juan, Jose Miguel and Gonzalez-Casado, Guillermo and Sanz, Jaume (2020) Network-Based Ionospheric Gradient Monitoring to Support GBAS. In: Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2019, pp. 2888-2902. ION GNSS+ 2019, 16. - 20. Sept. 2019, Miami, USA. DOI: 10.33012/2019.16926 ISBN 978-093640623-7 ISSN 0936-4062 (In Press)

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Official URL: https://www.ion.org/publications/abstract.cfm?articleID=16926


Ionospheric anomalies, like large ionospheric gradients, might produce a difference between the ionospheric error experienced by the Ground Based Augmentation System (GBAS) reference station and the aircraft on approach. This ionospheric delay difference could lead to hazardous position errors if undetected. For that reason, the GBAS Approach Service Types (GAST) C and D provide solutions against this threat, but the methods employed still face challenges by limiting the availability in certain cases, especially in regions with severe ionospheric conditions. This issue is caused by the use of very conservative ionospheric threat models derived based on the worst-ever-experienced ionospheric gradients in the relevant region. However, these worst-case gradients occur very rarely. Therefore, this paper proposes a methodology capable of detecting ionospheric gradients in real-time and estimating their parameters in near real-time by using a wide area network of dual-frequency and multi-constellation GNSS monitoring stations. Hence, the GBAS stations could use this information to update the threat model currently applied in their algorithms, which would result in an improvement of the GBAS availability in regions where it is degraded. The detection and estimation algorithm is initially theoretically explained. Then, the performance of this algorithm is evaluated with simulated gradients and with a real gradient, utilizing for both the real measurements recorded by a reference network in Alaska. The synthetic gradients are simulated over the nominal real measurements from this network and all the gradient parameters are modified within their ranges in the already existing threat models. In this way, we assess the performance of our algorithm by comparing the differences between the known simulated gradient parameters and the parameters estimated by our algorithm. Additionally, we also evaluate our algorithm with one real ionospheric gradient measured by the same network in Alaska to study the differences between using simulated gradients and real gradients. Results with both simulated gradients and the real gradient show the potential of our methodology to support GBAS stations by detecting and estimating the ionospheric gradients instead of using worst case models all the time.

Item URL in elib:https://elib.dlr.de/130067/
Document Type:Conference or Workshop Item (Speech)
Title:Network-Based Ionospheric Gradient Monitoring to Support GBAS
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Caamano, MariaMaria.CaamanoAlbuerne (at) dlr.deUNSPECIFIED
Felux, MichaelMichael.Felux (at) dlr.dehttps://orcid.org/0000-0002-8368-4422
Gerbeth, DanielDaniel.Gerbeth (at) dlr.dehttps://orcid.org/0000-0002-7495-7361
Juan, Jose MiguelgAGE/UPC, SpainUNSPECIFIED
Gonzalez-Casado, GuillermogAGE/UPC, SpainUNSPECIFIED
Date:20 March 2020
Journal or Publication Title:Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.33012/2019.16926
Page Range:pp. 2888-2902
Status:In Press
Keywords:GBAS, integrity, ionospheric gradient
Event Title:ION GNSS+ 2019
Event Location:Miami, USA
Event Type:international Conference
Event Dates:16. - 20. Sept. 2019
Organizer:Institute of Navigation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Communication, Navigation and Surveillance
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Deposited By: Caamano Albuerne, Maria
Deposited On:21 Nov 2019 13:50
Last Modified:01 Apr 2020 03:00

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