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dc.contributor.authorARAGON ANGEL MARIA ANGELESen_GB
dc.contributor.authorZÜRN MARTINen_GB
dc.contributor.authorROVIRA GARCIA ADRIAen_GB
dc.date.accessioned2020-01-14T01:05:08Z-
dc.date.available2020-01-13en_GB
dc.date.available2020-01-14T01:05:08Z-
dc.date.created2019-10-29en_GB
dc.date.issued2019en_GB
dc.date.submitted2019-09-24en_GB
dc.identifier.citationRADIO SCIENCE vol. 54 no. 11 p. 1156-1169en_GB
dc.identifier.issn0048-6604 (online)en_GB
dc.identifier.urihttps://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019RS006875en_GB
dc.identifier.urihttps://publications.jrc.ec.europa.eu/repository/handle/JRC117408-
dc.description.abstractAt present most low-cost GNSS receivers operate one frequency in the L band. For them one of the largest error contributions is the delay of radio signals in the Ionosphere. NeQuick-G is the official ionospheric correction algorithm (ICA), which has been adopted for Galileo, the European GNSS Programme. The NeQuick-G implementation is complex when compared with other ICAs. It is also demanding in terms of computational resources. The Joint Research Centre completed a reference implementation of NeQuick-G based on the official document “Ionospheric Correction Algorithm for Galileo Single Frequency Users” provided by the European Global Navigation Satellite Systems Agency. The rationale behind the JRC implementation of NeQuick-G was the intent to write an independent source code from scratch, without using the pseudo-codes from the reference document and solely relying on the physics descriptions. Using such implementation as baseline, this paper describes an optimization attempt of the official pseudo code from an algorithmic perspective. The objective was to reduce the computational load while not sacrificing the performance. The new proposed integration method is able to speed up calculations to 21% and 49% with respect the two official integration algorithms. The overall computational burden depends on the number of operations, which is eventually closely correlated to the number of calls of the ionospheric model. This underlines the quest to find an integration method reducing this number of calls. Moreover, based on the findings of this study, the authors strongly recommend revisiting the convergence control of the integration routines introduced in (Galileo OS-ICA, 2016).en_GB
dc.description.sponsorshipJRC.E.2-Technology Innovation in Securityen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherAMER GEOPHYSICAL UNIONen_GB
dc.relation.ispartofseriesJRC117408en_GB
dc.titleGalileo Ionospheric Correction Algorithm: An Optimization Study of NeQuick-Gen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1029/2019RS006875 (online)en_GB
JRC Directorate:Space, Security and Migration

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