Rain type classification for rain attenuation models in terrestrial link

Rain precipitation along the path from one base station to another base station is not constant due to drop size distribution of the rainfall and variation rain intensities. The signal level that propagates through rain is decreasing especially when the frequency used is above 10GHz. Rain classifica...

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Main Author:	Jaafar, Nur Farah Nizza
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/79454/1/NurFarahNizzaMFKE2018.pdf
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id	my-utm-ep.79454
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spelling	my-utm-ep.794542018-10-31T12:39:24Z Rain type classification for rain attenuation models in terrestrial link 2018 Jaafar, Nur Farah Nizza TK Electrical engineering. Electronics Nuclear engineering Rain precipitation along the path from one base station to another base station is not constant due to drop size distribution of the rainfall and variation rain intensities. The signal level that propagates through rain is decreasing especially when the frequency used is above 10GHz. Rain classification is an important factor in rain attenuation studies. Rain can be classified in two broad categories which are convective rain and stratiform rain. Both categories have different effect on rain attenuation values due to different drop size distribution and different rainfall rates. However, what previous studies have not discussed is the attenuation prediction result for both stratiform and convective events. Hence, this study attempts to achieve the classification of rain by using probability method, determining 0.01% rain rate for stratiform and convective events and determining the suitable rain model that fits stratiform and convective rain. In order to choose good rain attenuation models, it is necessary to consider the link type and the experimental region. For this project, the chosen link is terrestrial link and the experimental region is tropical region. Therefore, the suitable rain models for this project are Garcia model, ITU-R 530-16 and Mello Pontes model. The duration of rain collection used for rain classification procedure is from 1996 to 1999. The percentages of time from complementary cumulative distribution function (CCDF) are used to determine which rain models suits stratiform and convective events. The result of rain classification shows that the totals numbers of stratiform and convective events are 631 events and 211 events respectively. Finding indicated that when using combined data and convective data, Mello Pontes is the most appropriate rain model to predict attenuation at terrestrial link. In addition, ITU-R 530-16, Mello Pontes model and Garcia model show good performance when using stratiform data as the three have similar attenuation values. 2018 Thesis http://eprints.utm.my/id/eprint/79454/ http://eprints.utm.my/id/eprint/79454/1/NurFarahNizzaMFKE2018.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Jaafar, Nur Farah Nizza Rain type classification for rain attenuation models in terrestrial link
description	Rain precipitation along the path from one base station to another base station is not constant due to drop size distribution of the rainfall and variation rain intensities. The signal level that propagates through rain is decreasing especially when the frequency used is above 10GHz. Rain classification is an important factor in rain attenuation studies. Rain can be classified in two broad categories which are convective rain and stratiform rain. Both categories have different effect on rain attenuation values due to different drop size distribution and different rainfall rates. However, what previous studies have not discussed is the attenuation prediction result for both stratiform and convective events. Hence, this study attempts to achieve the classification of rain by using probability method, determining 0.01% rain rate for stratiform and convective events and determining the suitable rain model that fits stratiform and convective rain. In order to choose good rain attenuation models, it is necessary to consider the link type and the experimental region. For this project, the chosen link is terrestrial link and the experimental region is tropical region. Therefore, the suitable rain models for this project are Garcia model, ITU-R 530-16 and Mello Pontes model. The duration of rain collection used for rain classification procedure is from 1996 to 1999. The percentages of time from complementary cumulative distribution function (CCDF) are used to determine which rain models suits stratiform and convective events. The result of rain classification shows that the totals numbers of stratiform and convective events are 631 events and 211 events respectively. Finding indicated that when using combined data and convective data, Mello Pontes is the most appropriate rain model to predict attenuation at terrestrial link. In addition, ITU-R 530-16, Mello Pontes model and Garcia model show good performance when using stratiform data as the three have similar attenuation values.
format	Thesis
qualification_level	Master's degree
author	Jaafar, Nur Farah Nizza
author_facet	Jaafar, Nur Farah Nizza
author_sort	Jaafar, Nur Farah Nizza
title	Rain type classification for rain attenuation models in terrestrial link
title_short	Rain type classification for rain attenuation models in terrestrial link
title_full	Rain type classification for rain attenuation models in terrestrial link
title_fullStr	Rain type classification for rain attenuation models in terrestrial link
title_full_unstemmed	Rain type classification for rain attenuation models in terrestrial link
title_sort	rain type classification for rain attenuation models in terrestrial link
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/79454/1/NurFarahNizzaMFKE2018.pdf
_version_	1747818230177595392

Rain type classification for rain attenuation models in terrestrial link

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