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An attempt of adaptive phase detrending for GNSS scintillation detection

Lucilla Alfonsi - INGV, Italy; Luca Spogli - INGV, Italy; Hossein Ghobadi - INGV, Italy; Antonio Cicone - DISIM, University of L'Aquila, Italy; Claudio Cesaroni - INGV, Italy; Nicola Linty - Finnish Geospatial Research Institute, Finland; Vincenzo Romano - INGV, Italy; Massimo Cafaro - University of Salento, Italy

Thermosphere-ionosphere interactions and effects (II)


The present work reports an attempt to contribute to the reliability of the phase scintillation index on Global Navigation Satellite System (GNSS) signals at high-latitude starting from a detrending scheme based on the signal decomposition provided by the Fast Iterative Filtering (FIF) technique. This scheme enables a fine tuning of the cutoff frequency for phase detrending used in the phase scintillation index determination. Using Galileo data taken by a GNSS Ionospheric Scintillation Monitor Receiver (ISMR) in Concordia Station (Antarctica), we try to target an optimization of the cutoff frequency. We show how the FIF-based detrending allows deriving adaptive cutoff frequencies, changing minute-by-minute in a range between 0.4 Hz and 1.2 Hz. Our results should help to better accounting for diffractive effects, being stochastic in nature, in phase scintillation index calculation. As the stochastic effects are the most challenging threat to GNSS-based positioning services, our attempt could contribute to the improvement of scintillation indices-based techniques for the mitigation of adverse space weather effects on navigation. Our study can also advance the current understanding of the ionospheric plasma dynamics under stormy conditions because we can derive a GNSS-based estimation of the relative velocity between the satellite and the ionospheric irregularities.

Approaching deadlines:

Registration opens:

16 July 2020

Abstract submission opens:

16 July 2020

European Space Weather Medals:

6 September 2020

Registration deadline:

25 September 2020

Registration deadline: [extended]

10 October 2020

Abstract submission deadline:

4 September 2020