ANN Based Equalization Using Coded Inputs in Nakagami-m Faded Channel

Free registration required

Executive Summary

Equalization is often used in wireless communication to mitigate the effects of Inter Symbol Interference (ISI). The Artificial Neural Network (ANN) has been a preferred tool for performing equalization to reduce ISI. This paper describes the use of ANN and coding to improve performance of an equalizer, designed to tackle fading effects of Nakagami-m channel. Improvement in performance has been shown for coded transmission over uncoded one in Nakagami-m channel with ANN based equalization.

  • Format: PDF
  • Size: 259.81 KB