Silki Baghla

Work place: Dept. of Electronics and Communication Engineering, J.C.D.M. College of Engineering, Sirsa, Haryana, India

E-mail: silky.er@gmail.com

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Biography

Author Articles
Reduction of Inter-Symbol Interference Using Artifical Neural Network System in Multicarrier OFDM System

By Jyoti Makka Himanshu Monga Silki Baghla

DOI: https://doi.org/10.5815/ijwmt.2018.05.02, Pub. Date: 8 Sep. 2018

The work proposes Inter-Symbol Interference (ISI) reduction scheme, ISI being a major problem in Optical systems, which produces various type of non-linear distortions. So the implementation of OFDM system using Artificial Neural Network (ANN) scheme with M-QAM modulation technique is proposed and compared with the conventional OFDM system without using ANN. This proposed scheme is implementation of Back-propagation (BP) algorithm over AWGN channels to achieve an effective ISI reduction in orthogonal frequency division multiplexing (OFDM) systems. Simulation results prove that ANN equalizer can further reduce ISI effectively and provide acceptable BER and better MSE plot compared to conventional OFDM system.

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