dc.contributor.author | Camps Carmona, Adriano José |
dc.contributor.author | González Casado, Guillermo |
dc.contributor.author | Juan Zornoza, José Miguel |
dc.contributor.author | Hyuk, Park |
dc.contributor.author | Barbosa, José |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física |
dc.date.accessioned | 2021-04-27T10:53:44Z |
dc.date.available | 2021-04-27T10:53:44Z |
dc.date.issued | 2020 |
dc.identifier.citation | Camps, 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.isbn | 978-1-7281-6374-1 |
dc.identifier.uri | http://hdl.handle.net/2117/344557 |
dc.description.abstract | The 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.sponsorship | This 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.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços |
dc.subject.lcsh | Radio wave propagation |
dc.subject.lcsh | Ionosphere |
dc.subject.lcsh | Global Positioning System |
dc.subject.other | GNSS-R |
dc.subject.other | Scintillation |
dc.subject.other | Models |
dc.title | Ionospheric scintillation model limitations and impact in GNSS-R missions |
dc.type | Conference report |
dc.subject.lemac | Ones de ràdio -- Propagació |
dc.subject.lemac | Ionosfera |
dc.subject.lemac | Sistema de posicionament global |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.contributor.group | Universitat Politècnica de Catalunya. gAGE - Grup d'Astronomia i Geomàtica |
dc.identifier.doi | 10.1109/IGARSS39084.2020.9323693 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9323693 |
dc.rights.access | Open Access |
local.identifier.drac | 30777498 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099008-B-C21/ES/SENSING WITH PIONEERING OPPORTUNISTIC TECHNIQUES/ |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600 |
local.citation.author | Camps, A.; González-Casado, G.; Juan, J.; Park, H.; Barbosa, J. |
local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
local.citation.publicationName | IGARSS 2020: 2020 IEEE International Geoscience and Remote Sensing Symposium Proceedings: September 26 - October 2, 2020: virtual symposium |
local.citation.startingPage | 5937 |
local.citation.endingPage | 5940 |