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dc.contributor.authorCaamaño Albuerne, María
dc.contributor.authorFelux, Michael
dc.contributor.authorGerbeth, Daniel
dc.contributor.authorJuan Zornoza, José Miguel
dc.contributor.authorGonzález Casado, Guillermo
dc.contributor.authorSanz Subirana, Jaume
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2021-06-04T07:11:14Z
dc.date.available2021-06-04T07:11:14Z
dc.date.issued2019
dc.identifier.citationCaamaño, M. [et al.]. Network-based ionospheric gradient monitoring to support GBAS. A: International Technical Meeting of The Satellite Division of the Institute of Navigation. "32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019); Miami, Florida, USA: september 16-20, 2019: proceedings". Manassas, Virginia: ION Publications (The Institute of navigation), 2019, p. 2888-2902. ISBN 9781510895850. DOI 10.33012/2019.16926.
dc.identifier.isbn9781510895850
dc.identifier.urihttp://hdl.handle.net/2117/346619
dc.description.abstractIonospheric anomalies, like large ionospheric gradients, might produce a difference between the ionospheric error experienced bythe Ground Based Augmentation System (GBAS) reference station and the aircraft on approach. This ionospheric delay differencecould 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 methodsemployed 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-experiencedionospheric 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 theirparameters 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 wouldresult 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 evaluatedwith simulated gradients and with a real gradient, utilizing for both the real measurements recorded by a reference networkin Alaska. The synthetic gradients are simulated over the nominal real measurements from this network and all the gradientparameters are modified within their ranges in the already existing threat models. In this way, we assess the performance of ouralgorithm by comparing the differences between the known simulated gradient parameters and the parameters estimated by ouralgorithm. Additionally, we also evaluate our algorithm with one real ionospheric gradient measured by the same network inAlaska to study the differences between using simulated gradients and real gradients.
dc.format.extent15 p.
dc.language.isoeng
dc.publisherION Publications (The Institute of navigation)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Aeronàutica i espai
dc.subject.lcshGlobal Positioning System
dc.subject.lcshArtificial satellites in navigation
dc.subject.otherIonospheric anomalies
dc.subject.otherGround Based Augmentation System (GBAS)
dc.titleNetwork-based ionospheric gradient monitoring to support GBAS
dc.typeConference report
dc.subject.lemacSatèl·lits artificials en navegació
dc.subject.lemacSistema de posicionament global
dc.contributor.groupUniversitat Politècnica de Catalunya. gAGE - Grup d'Astronomia i Geomàtica
dc.identifier.doi10.33012/2019.16926
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.ion.org/publications/abstract.cfm?articleID=16926
dc.rights.accessOpen Access
local.identifier.drac28745146
dc.description.versionPostprint (author's final draft)
local.citation.authorCaamaño, M.; Felux, M.; Gerbeth, D.; Juan, J.; Gonzalez-Casado, G.; Sanz, J.
local.citation.contributorInternational Technical Meeting of The Satellite Division of the Institute of Navigation
local.citation.pubplaceManassas, Virginia
local.citation.publicationName32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019); Miami, Florida, USA: september 16-20, 2019: proceedings
local.citation.startingPage2888
local.citation.endingPage2902


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Llevat que s'hi indiqui el contrari, els continguts d'aquesta obra estan subjectes a la llicència de Creative Commons : Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya