Umudike Journal of Engineering and Technology

Michael Okpara University of Agriculture, Umudike


PERFORMANCE IMPROVEMENT OF SIGNAL OVER KU-BAND SATELLITE COMMUNICATION USING FUZZY LOGIC SYSTEM

Udo, E. U.
Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State

Odo, K. O.
Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State



ABSTRACT

This paper presents the performance improvement of signal over Ku-band satellite communication using fuzzy logic system. The satellite communication is an essential part of telecommunication systems carrying large amount of data and telephone traffic in addition to TV signals. At high frequency, satellite links are more sensitive to signal fades due to rain, especially in the tropical region. Rain attenuation can have a distorting effect on the Quality of Service (QoS) at higher frequencies that lead to excessive digital transmission error. This loss of signal is called signal attenuation. Data were obtained from the Nigerian Meteorological Agency for a period of ten (10) years and Umuahia geographical location was considered as the choice of environment. An intelligent weather system in conjunction with service providers calculated the attenuation using ITU-R propagation model and this was interacted with the input parameters to improve the Signal-to-Noise Ratio (SNR) value. The fuzzy logic system was used to mitigate rain attenuation in order to guarantee a certain level of signal quality. The simulated results show the effectiveness of the developed model and its ability to improve QoS over Ku-band satellite communication in spite of rain attenuation. The developed fuzzy model was able to improve the quality of the satellite signal by 63.9%.



Keywords: Ku-Band, Rain Attenuation, Fuzzy Logic System, Satellite Communication, Quality of Service


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Conference Code
IECON2019

Conference Title
ENGINEERING FOR SUSTAINABLE ECONOMIC DIVERSIFICATION, FOOD AND NATIONAL SECURITY

ISBN
978-978-53175-8-9

Date Published
Friday, September 20, 2019

Conference Date
2nd - 4th September, 2019

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