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- Title
Galileo Ionospheric Correction Algorithm: An Optimization Study of NeQuick‐G.
- Authors
Aragon‐Angel, A.; Zürn, M.; Rovira‐Garcia, A.
- Abstract
At 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 (European Commission, 2016, https://www.gsc‐europa.eu/sites/default/files/sites/all/files/Galileo_Ionospheric_Model.pdf). Key Points: This study proposes a new integration method for NeQuick‐G that speeds calculations a 21% and 49% with respect the two integration algorithms officially recommendedThe main vector to diminish computational costs is the reduction of the number of function calls involved in the integration without increasing the errorThe authors strongly recommend revisiting the convergence control of the integration routines in the official document following the discussions in this study
- Subjects
IONOSPHERIC observations; ALGORITHMS; GLOBAL Positioning System; EUROPEAN Commission. Joint Research Centre; PSEUDOCODE (Computer program language)
- Publication
Radio Science, 2019, Vol 54, Issue 11, p1156
- ISSN
0048-6604
- Publication type
Article
- DOI
10.1029/2019RS006875