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Reduction of Inter-Symbol Interference using Artificial Neural Network System in Multicarrier OFDM System

Author

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  • Jyoti Makkar
  • Himanshu Monga
  • Silki Baglha

Abstract

The work proposes Inter-Symbol Interference (ISI) reduction scheme, ISI is a major problem in Optical systems, which produces various types 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 an 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 the conventional OFDM system.

Suggested Citation

  • Jyoti Makkar & Himanshu Monga & Silki Baglha, 2017. "Reduction of Inter-Symbol Interference using Artificial Neural Network System in Multicarrier OFDM System," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(5), pages 553-558, October.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i5:id:hcseit172595
    Note: Article URL: https://ijsrcseit.com/CSEIT172595
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