GNSS receiver data autologging and processing
Ionospheric scintillation is a phenomenon known to have many detrimental effects on the quality and integrity of signals received from global navigation satellite systems. Since it’s a common phenomenon in Singapore, this project aims to plot and model the mathematical relationship between scinti...
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2018
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sg-ntu-dr.10356-753222023-07-07T17:40:36Z GNSS receiver data autologging and processing Zhang, Ruobei Tan Eng Leong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Satellite telecommunication Ionospheric scintillation is a phenomenon known to have many detrimental effects on the quality and integrity of signals received from global navigation satellite systems. Since it’s a common phenomenon in Singapore, this project aims to plot and model the mathematical relationship between scintillation values and time intervals. This was done by extracting, plotting and modeling the recorded GNSS data using MATLAB. Two main mathematical models for fitting were implemented: polynomial Gaussian. For 2D fitting of scintillation against local time (LT), as well as day of year (DOY), the Gaussian model was shown to be a better mathematical model for the fitting of both amplitude and phase scintillation data. For 3D fitting of scintillation against LT and DOY, a 5th degree polynomial surface in both X and Y was generated. However, this model was not able to fit the higher scintillation data recorded. Due to limitations in MATLAB, higher degree polynomial surfaces were unable to be carried out. To further improve on the quality of generated fits, further research on the methods as well as existing scintillation models is recommended Bachelor of Engineering 2018-05-30T09:07:28Z 2018-05-30T09:07:28Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75322 en Nanyang Technological University 88 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Satellite telecommunication |
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DRNTU::Engineering::Electrical and electronic engineering::Satellite telecommunication Zhang, Ruobei GNSS receiver data autologging and processing |
description |
Ionospheric scintillation is a phenomenon known to have many detrimental effects on
the quality and integrity of signals received from global navigation satellite systems.
Since it’s a common phenomenon in Singapore, this project aims to plot and model
the mathematical relationship between scintillation values and time intervals. This
was done by extracting, plotting and modeling the recorded GNSS data using
MATLAB. Two main mathematical models for fitting were implemented: polynomial
Gaussian. For 2D fitting of scintillation against local time (LT), as well as day of year
(DOY), the Gaussian model was shown to be a better mathematical model for the
fitting of both amplitude and phase scintillation data. For 3D fitting of scintillation
against LT and DOY, a 5th degree polynomial surface in both X and Y was generated.
However, this model was not able to fit the higher scintillation data recorded. Due to
limitations in MATLAB, higher degree polynomial surfaces were unable to be carried
out. To further improve on the quality of generated fits, further research on the
methods as well as existing scintillation models is recommended |
author2 |
Tan Eng Leong |
author_facet |
Tan Eng Leong Zhang, Ruobei |
format |
Final Year Project |
author |
Zhang, Ruobei |
author_sort |
Zhang, Ruobei |
title |
GNSS receiver data autologging and processing |
title_short |
GNSS receiver data autologging and processing |
title_full |
GNSS receiver data autologging and processing |
title_fullStr |
GNSS receiver data autologging and processing |
title_full_unstemmed |
GNSS receiver data autologging and processing |
title_sort |
gnss receiver data autologging and processing |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/75322 |
_version_ |
1772828938435821568 |