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Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

Vilà-Valls, Jordi and Linty, Nicola and Closas, Pau and Dovis, Fabio and Curran, James T. Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation. (2020) Journal of the Institute of Navigation, 67 (3). 511-536. ISSN 0028-1522

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Official URL: https://doi.org/10.1002/navi.379

Abstract

Ionospheric scintillation is the physical phenomena affecting radio waves coming from the space through the ionosphere. Such disturbance is caused by ionospheric electron‐density irregularities and is a major threat in Global Navigation Satellite Systems (GNSS). From a signal‐processing perspective, scintillation is one of the most challenging propagation scenarios, particularly affecting high‐precision GNSS receivers and safety critical applications where accuracy, availability, continuity, and integrity are mandatory. Under scintillation, GNSS signals are affected by amplitude and phase variations, which mainly compromise the synchronization stage of the receiver. To counteract these effects, one must resort to advanced signal‐processing techniques such as adaptive/robust methods, machine learning, or parameter estimation. This contribution reviews the signal‐processing landscape in GNSS receivers, with emphasis on different detection, monitoring, and mitigation problems. New results using real data are provided to support the discussion. To conclude, future perspectives of interest to the GNSS community are discussed.

Item Type:Article
HAL Id:hal-03033036
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > European Commission, Joint Research Centre - JRC (IRELAND)
Other partners > Finnish Geospatial Research Institute - FGI-NLS (FINLAND)
Other partners > Northeastern University (USA)
Other partners > Politecnico di Torino (ITALY)
Laboratory name:
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Deposited On:01 Dec 2020 09:46

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