Qalaai Zanist Scientific Journal
گۆڤارى قەڵاى زانست

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Qalaai Zanist Scientific Journal  
Volume 2, Issue 2, April 2017

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Paper Title: Evolving Fuzzy Neural Network Equalization of Channel Impulse Response in Optical Mode Division Multiplexing
Author (s): Anahed M. Kareem - Ministry of Science & Technology, Baghdad, Iraq
Assoc. Prof. Dr. Angela Amphawan -
School of Computing, Universiti, Utara Malaysia
Index Terms: evolving fuzzy neural network (EFUNN), mode division multiplexing (MDM), multimode Fiber (MMF), intersymbol interference (ISI).
Abstract: Optical mode division multiplexing (MDM) systems suffer from the inter-symbol interference (ISI) issues due to nonlinear channel impairments in multimode fiber from mode coupling and modal dispersion. Existing equalization algorithms in MDM systems such as least mean square (LMS) and recursive least squares (RLS) operate linearly and thus far, are unable to effectively mitigate the nonlinear channel impairments. To address this issue, a nonlinear evolving fuzzy neural network (EFuNN) equalization scheme was developed in MATLAB to reshape the channel impulse response of a MDM system comprising five Laguerre-Gaussian (LG) modes at the transmitter to five reference Gaussian pulses at separate time intervals at the receiver in order to mitigate the effects of ISI from nonlinear channel impairments.
Cite This Paper (APA): M. Kareem, A., & Amphawan, A. (2017). Evolving Fuzzy Neural Network Equalization of Channel Impulse Response in Optical Mode Division Multiplexing. Qalaai Zanist Scientific Journal, 2(2). doi:10.25212/lfu.qzj.2.2.28
Text Language: English
Pp.: 276 - 285
Full Text:


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A Scientific Quarterly Refereed Journal, Published by Lebanese French University (LFU) , Erbil - Kurdistan, Iraq
Licensed by Ministry of Higher Education and Scientific Research - Kurdistan Regional Government (Decree 13071/9 in August 29, 2016)
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