Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/65278
Title: Ionospheric tomography using GNSS reflections
Author: Marco Pallarés, Josep
Ruffini i Fores, Giulio
Ruffini, Leonardo
Keywords: Tomografia
Ionosfera
Sistema de posicionament global
Tomography
Ionosphere
Global Positioning System
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract: In this paper, we report a preliminary analysis of the impact of Global Navigation Satellite System Reflections (GNSS-R) data on ionospheric monitoring over the oceans. The focus will be on a single polar Low Earth Orbiter (LEO) mission exploiting GNSS-R as well as Navigation (GNSS-N) and Occultation (GNSS-O) total electron content (TEC) measurements. In order to assess impact of the data, we have simulated GNSS-R/O/N TEC data as would be measured from the LEO and from International Geodesic Service (IGS) ground stations, with an electron density (ED) field generated using a climatic ionospheric model. We have also developed a new tomographic approach inspired by the physics of the hydrogen atom and used it to effectively retrieve the ED field from the simulated TEC data near the orbital plane. The tomographic inversion results demonstrate the significant impact of GNSS-R: three-dimensional ionospheric ED fields are retrieved over the oceans quite accurately, even as, in the spirit of this initial study, the simulation and inversion approaches avoided intensive computation and sophisticated algorithmic elements (such as spatio-temporal smoothing). We conclude that GNSS-R data over the oceans can contribute significantly to a Global/GNSS Ionospheric Observation System (GIOS). Index Terms Global Navigation Satellite System (GNSS), Global Navigation Satellite System Reflections (GNSS-R), ionosphere, Low Earth Orbiter (LEO), tomography.
Note: Reproducció del document publicat a: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=1386503
It is part of: IEEE Transactions on Geoscience and Remote Sensing, 2005, vol. 43, num. 2, p. 321-326
URI: http://hdl.handle.net/2445/65278
ISSN: 0196-2892
Appears in Collections:Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació)

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