Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere
This talk was presented on 2020 April 18 at the 2019-20 NASA Arizona Space Grant Symposium. The event was virtually available via Zoom. Submitted abstract:The Ionosphere is a layer of the atmosphere that contains a high concentration of electrons that can affect signals passing through it. My resear...
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ftdatacite:10.25422/azu.data.12440030.v1 2023-05-15T17:39:16+02:00 Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere Smith, Joshua Parker, Michael 2020 https://dx.doi.org/10.25422/azu.data.12440030.v1 https://arizona.figshare.com/articles/Predicting_Satellite_to_Ground_Propagation_Effects_Induced_by_the_Ionosphere/12440030/1 unknown University of Arizona Research Data Repository https://dx.doi.org/10.25422/azu.data.12440030 CC0 https://creativecommons.org/publicdomain/zero/1.0 CC0 Aerospace Engineering FOS Mechanical engineering 20102 Astronomical and Space Instrumentation FOS Physical sciences 20109 Space and Solar Physics Presentation MediaObject article Audiovisual 2020 ftdatacite https://doi.org/10.25422/azu.data.12440030.v1 https://doi.org/10.25422/azu.data.12440030 2021-11-05T12:55:41Z This talk was presented on 2020 April 18 at the 2019-20 NASA Arizona Space Grant Symposium. The event was virtually available via Zoom. Submitted abstract:The Ionosphere is a layer of the atmosphere that contains a high concentration of electrons that can affect signals passing through it. My research aims to answer how the Ionosphere and Earth’s magnetic field affect high-frequency signals traveling from a low orbit satellite to a given ground station. The purpose of this work was to predict changes in Group Delay, Faraday Rotation, and frequency. This will be used in the CatSat project to predict and analyze an experiment satellite-to-ground propagation effects. Equations to predict these ionospheric effects were derived starting with the satellite’s orbit, ground station location, and Total Electron Content (TEC), assuming a spherical Earth, a dipole magnetic field, and a non-varying thin Ionosphere. Models verify that the slant TEC increases atlower elevations and the polarization rotation reverse direction as the satellite approaches the north magnetic pole. Future work includes finishing calculations for induced Doppler shift. For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu This item is part of 2020 NASA Arizona Space Grant Symposium presentations` Conference Object North Magnetic Pole DataCite Metadata Store (German National Library of Science and Technology) Faraday ENVELOPE(-64.256,-64.256,-65.246,-65.246) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Aerospace Engineering FOS Mechanical engineering 20102 Astronomical and Space Instrumentation FOS Physical sciences 20109 Space and Solar Physics |
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Aerospace Engineering FOS Mechanical engineering 20102 Astronomical and Space Instrumentation FOS Physical sciences 20109 Space and Solar Physics Smith, Joshua Parker, Michael Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere |
topic_facet |
Aerospace Engineering FOS Mechanical engineering 20102 Astronomical and Space Instrumentation FOS Physical sciences 20109 Space and Solar Physics |
description |
This talk was presented on 2020 April 18 at the 2019-20 NASA Arizona Space Grant Symposium. The event was virtually available via Zoom. Submitted abstract:The Ionosphere is a layer of the atmosphere that contains a high concentration of electrons that can affect signals passing through it. My research aims to answer how the Ionosphere and Earth’s magnetic field affect high-frequency signals traveling from a low orbit satellite to a given ground station. The purpose of this work was to predict changes in Group Delay, Faraday Rotation, and frequency. This will be used in the CatSat project to predict and analyze an experiment satellite-to-ground propagation effects. Equations to predict these ionospheric effects were derived starting with the satellite’s orbit, ground station location, and Total Electron Content (TEC), assuming a spherical Earth, a dipole magnetic field, and a non-varying thin Ionosphere. Models verify that the slant TEC increases atlower elevations and the polarization rotation reverse direction as the satellite approaches the north magnetic pole. Future work includes finishing calculations for induced Doppler shift. For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu This item is part of 2020 NASA Arizona Space Grant Symposium presentations` |
format |
Conference Object |
author |
Smith, Joshua Parker, Michael |
author_facet |
Smith, Joshua Parker, Michael |
author_sort |
Smith, Joshua |
title |
Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere |
title_short |
Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere |
title_full |
Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere |
title_fullStr |
Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere |
title_full_unstemmed |
Predicting Satellite to Ground Propagation Effects Induced by the Ionosphere |
title_sort |
predicting satellite to ground propagation effects induced by the ionosphere |
publisher |
University of Arizona Research Data Repository |
publishDate |
2020 |
url |
https://dx.doi.org/10.25422/azu.data.12440030.v1 https://arizona.figshare.com/articles/Predicting_Satellite_to_Ground_Propagation_Effects_Induced_by_the_Ionosphere/12440030/1 |
long_lat |
ENVELOPE(-64.256,-64.256,-65.246,-65.246) |
geographic |
Faraday |
geographic_facet |
Faraday |
genre |
North Magnetic Pole |
genre_facet |
North Magnetic Pole |
op_relation |
https://dx.doi.org/10.25422/azu.data.12440030 |
op_rights |
CC0 https://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.25422/azu.data.12440030.v1 https://doi.org/10.25422/azu.data.12440030 |
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1766140036723507200 |