GNSS signal propagation through ionosphere

In recent years, there has been extensive use of Global Navigation Satellite System (GNSS) applications such as satellite navigation, tracking, mapping and timing. Our growing reliance on them makes it crucial for us to gain a deeper understanding on GNSS signal transmission and any jeopardizing fac...

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Main Author: Lee, Xian Ying
Other Authors: Tan Eng Leong
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/74840
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-748402023-07-07T16:06:16Z GNSS signal propagation through ionosphere Lee, Xian Ying Tan Eng Leong School of Electrical and Electronic Engineering DRNTU::Engineering In recent years, there has been extensive use of Global Navigation Satellite System (GNSS) applications such as satellite navigation, tracking, mapping and timing. Our growing reliance on them makes it crucial for us to gain a deeper understanding on GNSS signal transmission and any jeopardizing factors that result in the degradation of signal performance. Ionospheric scintillation is a major cause of degradation of VHF/UHF signals in equatorial/low-latitude regions. Scintillation data of Singapore was obtained from Septentrio PolaRxS, a GPS receiver located at the West of Singapore at 1.34◦N, 103.68◦E. Firstly, the cause of ionospheric scintillation and the theoretical reasoning behind the well-known diurnal, seasonal and solar activity trends of amplitude scintillation in equatorial/low-latitude regions were presented. Subsequently, amplitude scintillation from September 2013 to December 2016 was analysed to confirm the well-known trends. The data was then modeled using different curve fitting methods to deduce the best empirical model and an improved Gaussian function was selected to give the best empirical model. Using the selected empirical model to ‘forecast’ the amplitude scintillation of equinox months, the forecast accuracy of the model was determined. It has been deduced that: i) Future months of October could be estimated by any past October months, ii) Future months of April could possibly be estimated by any past equinox months, iii) Future months of March could possibly be estimated by any past equinox months except October. Bachelor of Engineering 2018-05-24T05:43:31Z 2018-05-24T05:43:31Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74840 en Nanyang Technological University 217 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Lee, Xian Ying
GNSS signal propagation through ionosphere
description In recent years, there has been extensive use of Global Navigation Satellite System (GNSS) applications such as satellite navigation, tracking, mapping and timing. Our growing reliance on them makes it crucial for us to gain a deeper understanding on GNSS signal transmission and any jeopardizing factors that result in the degradation of signal performance. Ionospheric scintillation is a major cause of degradation of VHF/UHF signals in equatorial/low-latitude regions. Scintillation data of Singapore was obtained from Septentrio PolaRxS, a GPS receiver located at the West of Singapore at 1.34◦N, 103.68◦E. Firstly, the cause of ionospheric scintillation and the theoretical reasoning behind the well-known diurnal, seasonal and solar activity trends of amplitude scintillation in equatorial/low-latitude regions were presented. Subsequently, amplitude scintillation from September 2013 to December 2016 was analysed to confirm the well-known trends. The data was then modeled using different curve fitting methods to deduce the best empirical model and an improved Gaussian function was selected to give the best empirical model. Using the selected empirical model to ‘forecast’ the amplitude scintillation of equinox months, the forecast accuracy of the model was determined. It has been deduced that: i) Future months of October could be estimated by any past October months, ii) Future months of April could possibly be estimated by any past equinox months, iii) Future months of March could possibly be estimated by any past equinox months except October.
author2 Tan Eng Leong
author_facet Tan Eng Leong
Lee, Xian Ying
format Final Year Project
author Lee, Xian Ying
author_sort Lee, Xian Ying
title GNSS signal propagation through ionosphere
title_short GNSS signal propagation through ionosphere
title_full GNSS signal propagation through ionosphere
title_fullStr GNSS signal propagation through ionosphere
title_full_unstemmed GNSS signal propagation through ionosphere
title_sort gnss signal propagation through ionosphere
publishDate 2018
url http://hdl.handle.net/10356/74840
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