文章基本信息

标题：Reduction of Inter-Symbol Interference Using Artifical Neural Network System in Multicarrier OFDM System
作者：Jyoti Makka ; Himanshu Monga ; Silki Baghla 等
期刊名称：International Journal of Wireless and Microwave Technologies(IJWMT)
印刷版ISSN：2076-1449
电子版ISSN：2076-9539
出版年度：2018
卷号：8
期号：5
页码：10-18
DOI：10.5815/ijwmt.2018.05.02
出版社：MECS Publisher
摘要：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.
关键词：OFDM;Artificial Neural Network (ANN);FFT;QAM;BER;ISI;MMSE