Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link

Earth to satellite communications are moving towards higher frequency bands in future which are more sensitive to environment. Rain causes severe degradation in performances at higher frequency bands specially in tropical regions. Several mitigation techniques are proposed by researcher to design re...

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Main Authors: Alam, Md Moktarul, Islam, Md. Rafiqul, Salam, M. A., Muhammad, Norhafizah
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2018
Subjects:
Online Access:http://irep.iium.edu.my/72857/
http://irep.iium.edu.my/72857/
http://irep.iium.edu.my/72857/1/72857_PREDICTION%20OF%20RAIN%20RATE%20DISTRIBUTION_complete.pdf
http://irep.iium.edu.my/72857/2/72857_PREDICTION%20OF%20RAIN%20RATE%20DISTRIBUTION_scopus.pdf
id iium-72857
recordtype eprints
spelling iium-728572020-01-10T09:18:15Z http://irep.iium.edu.my/72857/ Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link Alam, Md Moktarul Islam, Md. Rafiqul Salam, M. A. Muhammad, Norhafizah TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Earth to satellite communications are moving towards higher frequency bands in future which are more sensitive to environment. Rain causes severe degradation in performances at higher frequency bands specially in tropical regions. Several mitigation techniques are proposed by researcher to design reliable system. Time diversity is one of the potential candidate for it. However, time diversity analysis requires measured rain attenuation data. For future high frequency link design those data are not available at most of the places. This paper proposes a method to utilize 1-min rain rate to analyse time diversity technique at any desired frequency. In proposed method, it is assumed that rain rate with delay can represent rain attenuation with delay for same period of time at same location. This assumption is valid as long as the attenuation causes due to rain. A model is developed to predict rain rate distribution with delay from annual measured statistics. Institution of Engineering and Technology 2018 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/72857/1/72857_PREDICTION%20OF%20RAIN%20RATE%20DISTRIBUTION_complete.pdf application/pdf en http://irep.iium.edu.my/72857/2/72857_PREDICTION%20OF%20RAIN%20RATE%20DISTRIBUTION_scopus.pdf Alam, Md Moktarul and Islam, Md. Rafiqul and Salam, M. A. and Muhammad, Norhafizah (2018) Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link. In: 7th Brunei International Conference on Engineering and Technology 2018, BICET 2018, 12 - 14 November 2018, Bandar Seri Begawan, Brunei Darussalam. https://ieeexplore.ieee.org/abstract/document/8726968
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Alam, Md Moktarul
Islam, Md. Rafiqul
Salam, M. A.
Muhammad, Norhafizah
Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
description Earth to satellite communications are moving towards higher frequency bands in future which are more sensitive to environment. Rain causes severe degradation in performances at higher frequency bands specially in tropical regions. Several mitigation techniques are proposed by researcher to design reliable system. Time diversity is one of the potential candidate for it. However, time diversity analysis requires measured rain attenuation data. For future high frequency link design those data are not available at most of the places. This paper proposes a method to utilize 1-min rain rate to analyse time diversity technique at any desired frequency. In proposed method, it is assumed that rain rate with delay can represent rain attenuation with delay for same period of time at same location. This assumption is valid as long as the attenuation causes due to rain. A model is developed to predict rain rate distribution with delay from annual measured statistics.
format Conference or Workshop Item
author Alam, Md Moktarul
Islam, Md. Rafiqul
Salam, M. A.
Muhammad, Norhafizah
author_facet Alam, Md Moktarul
Islam, Md. Rafiqul
Salam, M. A.
Muhammad, Norhafizah
author_sort Alam, Md Moktarul
title Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
title_short Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
title_full Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
title_fullStr Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
title_full_unstemmed Prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
title_sort prediction of rain rate distribution with time delay based on measured 1-min rain intensity data to mitigate fades on satellite link
publisher Institution of Engineering and Technology
publishDate 2018
url http://irep.iium.edu.my/72857/
http://irep.iium.edu.my/72857/
http://irep.iium.edu.my/72857/1/72857_PREDICTION%20OF%20RAIN%20RATE%20DISTRIBUTION_complete.pdf
http://irep.iium.edu.my/72857/2/72857_PREDICTION%20OF%20RAIN%20RATE%20DISTRIBUTION_scopus.pdf
first_indexed 2023-09-18T21:43:18Z
last_indexed 2023-09-18T21:43:18Z
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