Prediction of signal attenuation due to duststorms using mie scattering
The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper prese...
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iium-22552012-12-14T00:50:13Z http://irep.iium.edu.my/2255/ Prediction of signal attenuation due to duststorms using mie scattering Islam, Md. Rafiqul Elabdin, Zain Elshaikh, Omer Khalifa, Othman Omran Alam, A. H. M. Zahirul Khan, Sheroz Naji, Ahmed Wathik T10.5 Communication of technical information The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement. IIUM Press 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/2255/1/42-167-1-PB.pdf Islam, Md. Rafiqul and Elabdin, Zain and Elshaikh, Omer and Khalifa, Othman Omran and Alam, A. H. M. Zahirul and Khan, Sheroz and Naji, Ahmed Wathik (2010) Prediction of signal attenuation due to duststorms using mie scattering. IIUM Engineering Journal, 11 (1). pp. 71-87. ISSN 1511-788X http://www.iium.edu.my/ejournal/home2010/index.php/iiumej/issue/view/10 |
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T10.5 Communication of technical information |
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T10.5 Communication of technical information Islam, Md. Rafiqul Elabdin, Zain Elshaikh, Omer Khalifa, Othman Omran Alam, A. H. M. Zahirul Khan, Sheroz Naji, Ahmed Wathik Prediction of signal attenuation due to duststorms using mie scattering |
description |
The present trend in radio design calls for the use of frequencies above 40 GHz for short links carrying wide-band digital communication signals. In order to utilize the new frequency band efficiently, signal attenuation studies due to duststorms is needed urgently for desert areas. This paper presents a mathematical model which has been developed to predict the signal attenuation due to duststorm. The proposed model enables the convenient calculation of the signal path attenuation based on Mie solution of Maxwell's equations for the scattering of electromagnetic wave by dust particles. The predicted values from the proposed mathematical model are compared with the measured values observed in Saudi Arabia and Sudan and show relatively close agreement. |
format |
Article |
author |
Islam, Md. Rafiqul Elabdin, Zain Elshaikh, Omer Khalifa, Othman Omran Alam, A. H. M. Zahirul Khan, Sheroz Naji, Ahmed Wathik |
author_facet |
Islam, Md. Rafiqul Elabdin, Zain Elshaikh, Omer Khalifa, Othman Omran Alam, A. H. M. Zahirul Khan, Sheroz Naji, Ahmed Wathik |
author_sort |
Islam, Md. Rafiqul |
title |
Prediction of signal attenuation due to duststorms using mie scattering |
title_short |
Prediction of signal attenuation due to duststorms using mie scattering |
title_full |
Prediction of signal attenuation due to duststorms using mie scattering |
title_fullStr |
Prediction of signal attenuation due to duststorms using mie scattering |
title_full_unstemmed |
Prediction of signal attenuation due to duststorms using mie scattering |
title_sort |
prediction of signal attenuation due to duststorms using mie scattering |
publisher |
IIUM Press |
publishDate |
2010 |
url |
http://irep.iium.edu.my/2255/ http://irep.iium.edu.my/2255/ http://irep.iium.edu.my/2255/1/42-167-1-PB.pdf |
first_indexed |
2023-09-18T20:09:48Z |
last_indexed |
2023-09-18T20:09:48Z |
_version_ |
1777407400935948288 |