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dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorGonzález Casado, Guillermo
dc.contributor.authorJuan Zornoza, José Miguel
dc.contributor.authorHyuk, Park
dc.contributor.authorBarbosa, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2021-04-27T10:53:44Z
dc.date.available2021-04-27T10:53:44Z
dc.date.issued2020
dc.identifier.citationCamps, A. [et al.]. Ionospheric scintillation model limitations and impact in GNSS-R missions. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2020: 2020 IEEE International Geoscience and Remote Sensing Symposium Proceedings: September 26 - October 2, 2020: virtual symposium". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 5937-5940. ISBN 978-1-7281-6374-1. DOI 10.1109/IGARSS39084.2020.9323693.
dc.identifier.isbn978-1-7281-6374-1
dc.identifier.urihttp://hdl.handle.net/2117/344557
dc.description.abstractThe ionosphere impacts radio-wave propagation, notably up to a few GHz. The main applications impacted by the ionosphere are GNSS positioning and timing, Earth Observations (especially low frequency SAR missions e.g. BIOMASS, and GNSS-R), and Space Weather. While most effects can be compensated by using dual-frequency receivers and circular polarization antennas, ionospheric scintillation (rapid intensity and phase fluctuations) cannot. Climatological models for the mean stable part of the electron density in the ionospheric layers (e.g. IRI or NeQuick) or for the magnetic field (e.g. WMM) have significantly improved in the past years. However, models of the inhomogeneous part, responsible for scintillation, can be improved, since they are based on relatively old data (e.g. WBMOD), or climatological inputs are limited to properly characterize all latitudes and solar conditions (e.g. GISM or WAM). This study first assesses the goodness of GISM, the model adopted by the ITU-R, by comparing GISM predictions and measured scintillation data. Then, the impact of measured intensity and phase scintillation on TDS-1 GNSS-R data is illustrated.
dc.description.sponsorshipThis work was supported by ESA/ESTEC project 4000120868/17/NL/AF “Radio Climatology Models of the Ionosphere: Status and Way Forward,” by the Spanish Ministry of Science, Innovation and Universities, "Sensing with Pioneering Opportunistic Techniques" SPOT, grant RTI2018-099008-B-C21, and by the Unidad de Excelencia Maria de Maeztu MDM-2016-0600. The authors want to thank the discussions held with Dr. J. Lemorton, V. Fabbro, A. Mainvis (ONERA), and Dr. R. Orús (ESA).
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
dc.subject.lcshRadio wave propagation
dc.subject.lcshIonosphere
dc.subject.lcshGlobal Positioning System
dc.subject.otherGNSS-R
dc.subject.otherScintillation
dc.subject.otherModels
dc.titleIonospheric scintillation model limitations and impact in GNSS-R missions
dc.typeConference report
dc.subject.lemacOnes de ràdio -- Propagació
dc.subject.lemacIonosfera
dc.subject.lemacSistema de posicionament global
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. gAGE - Grup d'Astronomia i Geomàtica
dc.identifier.doi10.1109/IGARSS39084.2020.9323693
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9323693
dc.rights.accessOpen Access
local.identifier.drac30777498
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/RTI2018-099008-B-C21
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600
local.citation.authorCamps, A.; González-Casado, G.; Juan, J.; Park, H.; Barbosa, J.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.publicationNameIGARSS 2020: 2020 IEEE International Geoscience and Remote Sensing Symposium Proceedings: September 26 - October 2, 2020: virtual symposium
local.citation.startingPage5937
local.citation.endingPage5940


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