Development of an emperical model for dust storm attenuation prediction

This paper proposes an specific sand and dust storm fade estimation model. The proposed model is based on an empirical assessment of the impacts of the dust and sand storms on a terrestrial link operating at 21 GHz. The developed model is simple and reliable with minimum number of input parameters....

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Main Authors:	Elsheikh, Elfatih A. A., Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Eltahir, E.I, Suliman, F.M.
Format:	Conference or Workshop Item
Language:	English English
Published:	2019
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/77665/ http://irep.iium.edu.my/77665/1/ICCCEEE19_Final_Paper_Version_144.pdf http://irep.iium.edu.my/77665/13/77665%20programme%20schedule.pdf

id	iium-77665
recordtype	eprints
spelling	iium-776652020-02-06T03:42:25Z http://irep.iium.edu.my/77665/ Development of an emperical model for dust storm attenuation prediction Elsheikh, Elfatih A. A. Islam, Md. Rafiqul Habaebi, Mohamed Hadi Eltahir, E.I Suliman, F.M. TK5101 Telecommunication. Including telegraphy, radio, radar, television This paper proposes an specific sand and dust storm fade estimation model. The proposed model is based on an empirical assessment of the impacts of the dust and sand storms on a terrestrial link operating at 21 GHz. The developed model is simple and reliable with minimum number of input parameters. Validation of the model with measurements at frequency range 14 GHz to 40 GHz showed close agreement. 2019 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/77665/1/ICCCEEE19_Final_Paper_Version_144.pdf application/pdf en http://irep.iium.edu.my/77665/13/77665%20programme%20schedule.pdf Elsheikh, Elfatih A. A. and Islam, Md. Rafiqul and Habaebi, Mohamed Hadi and Eltahir, E.I and Suliman, F.M. (2019) Development of an emperical model for dust storm attenuation prediction. In: 2019 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), 21st ~ 23rd September 2019, Mashreq University, North Khartoum, Sudan. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Elsheikh, Elfatih A. A. Islam, Md. Rafiqul Habaebi, Mohamed Hadi Eltahir, E.I Suliman, F.M. Development of an emperical model for dust storm attenuation prediction
description	This paper proposes an specific sand and dust storm fade estimation model. The proposed model is based on an empirical assessment of the impacts of the dust and sand storms on a terrestrial link operating at 21 GHz. The developed model is simple and reliable with minimum number of input parameters. Validation of the model with measurements at frequency range 14 GHz to 40 GHz showed close agreement.
format	Conference or Workshop Item
author	Elsheikh, Elfatih A. A. Islam, Md. Rafiqul Habaebi, Mohamed Hadi Eltahir, E.I Suliman, F.M.
author_facet	Elsheikh, Elfatih A. A. Islam, Md. Rafiqul Habaebi, Mohamed Hadi Eltahir, E.I Suliman, F.M.
author_sort	Elsheikh, Elfatih A. A.
title	Development of an emperical model for dust storm attenuation prediction
title_short	Development of an emperical model for dust storm attenuation prediction
title_full	Development of an emperical model for dust storm attenuation prediction
title_fullStr	Development of an emperical model for dust storm attenuation prediction
title_full_unstemmed	Development of an emperical model for dust storm attenuation prediction
title_sort	development of an emperical model for dust storm attenuation prediction
publishDate	2019
url	http://irep.iium.edu.my/77665/ http://irep.iium.edu.my/77665/1/ICCCEEE19_Final_Paper_Version_144.pdf http://irep.iium.edu.my/77665/13/77665%20programme%20schedule.pdf
first_indexed	2023-09-18T21:49:33Z
last_indexed	2023-09-18T21:49:33Z
_version_	1777413677157187584

Development of an emperical model for dust storm attenuation prediction

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