Refining ku-band rain attenuation prediction using local parameters in tropics

Background/Objectives: Researches disclosed rain attenuation prediction models offered by ITU-R severely underestimate the signal attenuation in tropical region. Improvement can be accomplished by incorporating three in-situ parameters of prediction models. Methods/Statistical Analysis: The locally...

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Main Authors:	Yaccop, Afham Abd Hakim, Yao, Yudong, Ismail, Ahmad Fadzil, Badron, Khairayu, Hasan, Mohammad Kamrul
Format:	Article
Language:	English English
Published:	Indian Society for Education and Environment 2016
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/56427/ http://irep.iium.edu.my/56427/ http://irep.iium.edu.my/56427/ http://irep.iium.edu.my/56427/1/56427_Refining%20Ku-Band%20Rain.pdf http://irep.iium.edu.my/56427/2/56427_Refining%20Ku-Band%20Rain_SCOPUS.pdf

id	iium-56427
recordtype	eprints
spelling	iium-564272017-10-21T11:16:42Z http://irep.iium.edu.my/56427/ Refining ku-band rain attenuation prediction using local parameters in tropics Yaccop, Afham Abd Hakim Yao, Yudong Ismail, Ahmad Fadzil Badron, Khairayu Hasan, Mohammad Kamrul TA Engineering (General). Civil engineering (General) Background/Objectives: Researches disclosed rain attenuation prediction models offered by ITU-R severely underestimate the signal attenuation in tropical region. Improvement can be accomplished by incorporating three in-situ parameters of prediction models. Methods/Statistical Analysis: The locally derived components are rainfall rate, rain height and specific attenuation coefficients. Beacon signal data for MEASAT-I satellite were sampled for one year. Sampling time of 1 minute was chosen for rainfall rate. Both attenuation and rainfall rate were represented in terms of annual cumulative distribution. Rain height data were gathered from related researches and visually compared with radar data of 10 convective and 30 stratiform rain events. Findings: In previous works, these components were treated separately. By combining all three components, rain attenuation prediction model with distinctive accuracy can be acquired compared to the previous results. All previous and current works exhibited significant improvement from the latest ITU-R P.618 revision 12 model. The new result closely fitted in with measured attenuation which was not present in any previous work. This was shown by RMS error of 2.02 dB at availability of 99.9% to 99.999% (0.1% to 0.001% exceedance). Application/Improvements: Accurate representation of fade margin can be included in link budget analysis by designers for satellite deployment in tropical region. Indian Society for Education and Environment 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56427/1/56427_Refining%20Ku-Band%20Rain.pdf application/pdf en http://irep.iium.edu.my/56427/2/56427_Refining%20Ku-Band%20Rain_SCOPUS.pdf Yaccop, Afham Abd Hakim and Yao, Yudong and Ismail, Ahmad Fadzil and Badron, Khairayu and Hasan, Mohammad Kamrul (2016) Refining ku-band rain attenuation prediction using local parameters in tropics. Indian Journal of Science and Technology, 9 (25). 97240-1-97240-8. ISSN 0974-6846 E-ISSN 0974-5645 http://www.indjst.org/index.php/indjst/article/view/96617 10.17485/ijst/2016/v9i25/97240
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Yaccop, Afham Abd Hakim Yao, Yudong Ismail, Ahmad Fadzil Badron, Khairayu Hasan, Mohammad Kamrul Refining ku-band rain attenuation prediction using local parameters in tropics
description	Background/Objectives: Researches disclosed rain attenuation prediction models offered by ITU-R severely underestimate the signal attenuation in tropical region. Improvement can be accomplished by incorporating three in-situ parameters of prediction models. Methods/Statistical Analysis: The locally derived components are rainfall rate, rain height and specific attenuation coefficients. Beacon signal data for MEASAT-I satellite were sampled for one year. Sampling time of 1 minute was chosen for rainfall rate. Both attenuation and rainfall rate were represented in terms of annual cumulative distribution. Rain height data were gathered from related researches and visually compared with radar data of 10 convective and 30 stratiform rain events. Findings: In previous works, these components were treated separately. By combining all three components, rain attenuation prediction model with distinctive accuracy can be acquired compared to the previous results. All previous and current works exhibited significant improvement from the latest ITU-R P.618 revision 12 model. The new result closely fitted in with measured attenuation which was not present in any previous work. This was shown by RMS error of 2.02 dB at availability of 99.9% to 99.999% (0.1% to 0.001% exceedance). Application/Improvements: Accurate representation of fade margin can be included in link budget analysis by designers for satellite deployment in tropical region.
format	Article
author	Yaccop, Afham Abd Hakim Yao, Yudong Ismail, Ahmad Fadzil Badron, Khairayu Hasan, Mohammad Kamrul
author_facet	Yaccop, Afham Abd Hakim Yao, Yudong Ismail, Ahmad Fadzil Badron, Khairayu Hasan, Mohammad Kamrul
author_sort	Yaccop, Afham Abd Hakim
title	Refining ku-band rain attenuation prediction using local parameters in tropics
title_short	Refining ku-band rain attenuation prediction using local parameters in tropics
title_full	Refining ku-band rain attenuation prediction using local parameters in tropics
title_fullStr	Refining ku-band rain attenuation prediction using local parameters in tropics
title_full_unstemmed	Refining ku-band rain attenuation prediction using local parameters in tropics
title_sort	refining ku-band rain attenuation prediction using local parameters in tropics
publisher	Indian Society for Education and Environment
publishDate	2016
url	http://irep.iium.edu.my/56427/ http://irep.iium.edu.my/56427/ http://irep.iium.edu.my/56427/ http://irep.iium.edu.my/56427/1/56427_Refining%20Ku-Band%20Rain.pdf http://irep.iium.edu.my/56427/2/56427_Refining%20Ku-Band%20Rain_SCOPUS.pdf
first_indexed	2023-09-18T21:19:36Z
last_indexed	2023-09-18T21:19:36Z
_version_	1777411793244651520

Refining ku-band rain attenuation prediction using local parameters in tropics

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