Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique
We contribute to the debate on the identification of phase scintillation induced by the ionosphere on the global navigation satellite system (GNSS) by introducing a phase detrending method able to provide realistic values of the phase scintillation index at high latitude. It is based on the fast ite...
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/317328 2023-11-12T04:06:09+01:00 Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique Ghobadi, Hossein Spogli, Luca Alfonsi, Lucilla Cesaroni, Claudio Cicone, Antonio Linty, Nicola Romano, Vincenzo Cafaro, Massimo National Land Survey of Finland Maanmittauslaitos 2020-07-03T10:59:22Z application/pdf http://hdl.handle.net/10138/317328 eng eng Springer https://doi.org/10.1007/s10291-020-01001-1 GPS Solutions 1080-5370 1521-1886 24 http://hdl.handle.net/10138/317328 CC BY 4.0 ionospheric scintillation plasma drift velocity scintillation indices refractive and difractive effects Galileo signals GPS signals data detrending A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä A1 Journal article (refereed), original research article 2020 ftunivhelsihelda https://doi.org/10.1007/s10291-020-01001-1 2023-10-18T23:01:30Z We contribute to the debate on the identification of phase scintillation induced by the ionosphere on the global navigation satellite system (GNSS) by introducing a phase detrending method able to provide realistic values of the phase scintillation index at high latitude. It is based on the fast iterative filtering signal decomposition technique, which is a recently developed fast implementation of the well-established adaptive local iterative filtering algorithm. FIF has been conceived to decompose nonstationary signals efficiently and provide a discrete set of oscillating functions, each of them having its frequency. It overcomes most of the problems that arise when using traditional time–frequency analysis techniques and relies on a consolidated mathematical basis since its a priori convergence and stability have been proved. By relying on the capability of FIF to efficiently identify the frequencies embedded in the GNSS raw phase, we define a method based on the FIF-derived spectral features to identify the proper cutoff frequency for phase detrending. To test such a method, we analyze the data acquired from GPS and Galileo signals over Antarctica during the September 2017 storm by the ionospheric scintillation monitor receiver (ISMR) located in Concordia Station (75.10° S, 123.33° E). Different cases of diffraction and refraction effects are provided, showing the capability of the method in deriving a more accurate determination of the σϕ index. We found values of cutoff frequency in the range of 0.73–0.83 Hz, providing further evidence of the inadequacy of the choice of 0.1 Hz, which is often used when dealing with ionospheric scintillation monitoring at high latitudes. Article in Journal/Newspaper Antarc* Antarctica HELDA – University of Helsinki Open Repository Concordia Station ENVELOPE(123.333,123.333,-75.100,-75.100) GPS Solutions 24 3 |
institution |
Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
ionospheric scintillation plasma drift velocity scintillation indices refractive and difractive effects Galileo signals GPS signals data detrending |
spellingShingle |
ionospheric scintillation plasma drift velocity scintillation indices refractive and difractive effects Galileo signals GPS signals data detrending Ghobadi, Hossein Spogli, Luca Alfonsi, Lucilla Cesaroni, Claudio Cicone, Antonio Linty, Nicola Romano, Vincenzo Cafaro, Massimo Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique |
topic_facet |
ionospheric scintillation plasma drift velocity scintillation indices refractive and difractive effects Galileo signals GPS signals data detrending |
description |
We contribute to the debate on the identification of phase scintillation induced by the ionosphere on the global navigation satellite system (GNSS) by introducing a phase detrending method able to provide realistic values of the phase scintillation index at high latitude. It is based on the fast iterative filtering signal decomposition technique, which is a recently developed fast implementation of the well-established adaptive local iterative filtering algorithm. FIF has been conceived to decompose nonstationary signals efficiently and provide a discrete set of oscillating functions, each of them having its frequency. It overcomes most of the problems that arise when using traditional time–frequency analysis techniques and relies on a consolidated mathematical basis since its a priori convergence and stability have been proved. By relying on the capability of FIF to efficiently identify the frequencies embedded in the GNSS raw phase, we define a method based on the FIF-derived spectral features to identify the proper cutoff frequency for phase detrending. To test such a method, we analyze the data acquired from GPS and Galileo signals over Antarctica during the September 2017 storm by the ionospheric scintillation monitor receiver (ISMR) located in Concordia Station (75.10° S, 123.33° E). Different cases of diffraction and refraction effects are provided, showing the capability of the method in deriving a more accurate determination of the σϕ index. We found values of cutoff frequency in the range of 0.73–0.83 Hz, providing further evidence of the inadequacy of the choice of 0.1 Hz, which is often used when dealing with ionospheric scintillation monitoring at high latitudes. |
author2 |
National Land Survey of Finland Maanmittauslaitos |
format |
Article in Journal/Newspaper |
author |
Ghobadi, Hossein Spogli, Luca Alfonsi, Lucilla Cesaroni, Claudio Cicone, Antonio Linty, Nicola Romano, Vincenzo Cafaro, Massimo |
author_facet |
Ghobadi, Hossein Spogli, Luca Alfonsi, Lucilla Cesaroni, Claudio Cicone, Antonio Linty, Nicola Romano, Vincenzo Cafaro, Massimo |
author_sort |
Ghobadi, Hossein |
title |
Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique |
title_short |
Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique |
title_full |
Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique |
title_fullStr |
Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique |
title_full_unstemmed |
Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique |
title_sort |
disentangling ionospheric refraction and diffraction effects in gnss raw phase through fast iterative filtering technique |
publisher |
Springer |
publishDate |
2020 |
url |
http://hdl.handle.net/10138/317328 |
long_lat |
ENVELOPE(123.333,123.333,-75.100,-75.100) |
geographic |
Concordia Station |
geographic_facet |
Concordia Station |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://doi.org/10.1007/s10291-020-01001-1 GPS Solutions 1080-5370 1521-1886 24 http://hdl.handle.net/10138/317328 |
op_rights |
CC BY 4.0 |
op_doi |
https://doi.org/10.1007/s10291-020-01001-1 |
container_title |
GPS Solutions |
container_volume |
24 |
container_issue |
3 |
_version_ |
1782342207643058176 |