Universiti Teknologi Malaysia Institutional Repository

Rain attenuation prediction using frequency scaling technique at tropical region for terrestrial link

Kesavan, Ulaganathen and Abdul Rahman, Tharek and Rafiqul Islam, Md D. (2013) Rain attenuation prediction using frequency scaling technique at tropical region for terrestrial link. In: Progress In Electromagnetics Research Symposium.

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Official URL: http://dx.doi.org/10.1109/ICCCE.2014.69

Abstract

The radio waves propagates through the earth atmosphere will be attenuated due to presence of the atmosphere particles such as water vapor, water drops and the ice particles. Meantime the atmospheric gases and rain will absorb the scatter the radio path consequently degrade the performance of the link. This paper presents studies on rain attenuation at 26 GHz, which is widely used for local multipoint distribution service deployment by using the measured and prediction methods for terrestrial microwave links point to point in tropical regions. Ba- sically the models described in this paper include those of the ITU-R, revised Moupfouma and revised Silva Mello model. The main objective of these studies to identify most suitable rain attenuation prediction model for tropical region like Malaysia. In another hand comparison in term of attenuation on Ku band and Ka band. at various reduction factor models are also been discuss. It was found at lower operating frequency and lower rain rates the ITU-R models fits well whereby at the higher operating frequency with higher rain rates the Moupfouma model is more adequate compare with other models. This paper will help provide useful information for researchers to make good considerations in rain attenuation predictions for a terrestrial link operating frequency at 26 GHz in a tropical region. Copyright © 2013 The Electromagnetics Academy.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:51269
Deposited By: Haliza Zainal
Deposited On:27 Jan 2016 01:53
Last Modified:17 Sep 2017 00:54

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