Electrical Engineering (ICEE), 2013 21st Iranian Conference on , 2013-05-14

Title : ( Performance of Back-propagation and Self Organizing Map Neural Equalizers for Asymmetrically Clipped Optical OFDM )

Authors: Faride JavidiNiroumand , Hossein Khoshbin Ghomash ,

Citation: BibTeX | EndNote

This paper evaluates the performance of backpropagation (BP) and self organizing map (SOM) equalizer for indoor asymmetrically clipped optical OFDM (ACO-OFDM) wireless systems. Although in OFDM, parallel transmission and cyclic prefix addition improve the communication efficiency, there is still performance degradation due to inter-symbol interference (ISI) in dispersive channels. Simulation results indicate that BP multilayer perceptron and SOM neural equalizers enhance the bit error rate performance of ACO-OFDM systems in diffused channels for high signal to noise ratio. Moreover, proposed BP and SOM equalization require only 0.05 and 0.005 percent of ACO-OFDM symbols for training in a sec respectively while in single-tap equalization channel state information is necessary at the receiver.

Keywords

, Optical OFDM , Neural Equalizer ,
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@inproceedings{paperid:1036522,
author = {JavidiNiroumand, Faride and Khoshbin Ghomash, Hossein},
title = {Performance of Back-propagation and Self Organizing Map Neural Equalizers for Asymmetrically Clipped Optical OFDM},
booktitle = {Electrical Engineering (ICEE), 2013 21st Iranian Conference on},
year = {2013},
location = {مشهد, IRAN},
keywords = {Optical OFDM - Neural Equalizer - Back-propagation},
}

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%0 Conference Proceedings
%T Performance of Back-propagation and Self Organizing Map Neural Equalizers for Asymmetrically Clipped Optical OFDM
%A JavidiNiroumand, Faride
%A Khoshbin Ghomash, Hossein
%J Electrical Engineering (ICEE), 2013 21st Iranian Conference on
%D 2013

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