Reduction of white noise in a communication channel

Ajibodu, F.A and Adetona, Z.A and Ojo, B.A (2019) Reduction of white noise in a communication channel. In: 3RD School of Engineering National Conference, 7-10 March, 2016, The Federal Polytechnic Ilaro, Ogun State.

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Abstract

Common channel impairments such as noise, interference and fading are known to degrade data transmission in a telecommunication channel. Channel coding seeks to achieve the transformation of signals to improve communication performance through the alteration of data sequence characteristics. Thus the converted sequence contains structured redundancy which enables the transmitter or receiver to decide how to process the data to correct the channel impairments. In this study, a Simulink model was used to describe the use of convolutional encoder and Viterbi decoder blocks to improve transmission in the channel. The study utilized IEEE and ETSI standards in developing the model. Simplified transmitter and receiver were used to demonstrate the use of different code rates and their impact on Bit Error Rates (BER). By varying AWGN parameter, the signal to noise ratio (SNR) and BER were observed and a relationship between the rates plotted, which established that as the SNR increased the BER also improved when convolutional coding was employed. The use of encoding and decoding techniques on Digital Video Broadcasting Terrestrial (DVB-T) standard was demonstrated. The BER was observed and measured under various SNR. It was shown that the BER at 15 dB was within the acceptable BER of 10-3

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mr Adedamola Bameke
Date Deposited: 10 Jul 2020 10:05
Last Modified: 10 Jul 2020 10:05
URI: http://eprints.federalpolyilaro.edu.ng/id/eprint/962

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