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

Abstract

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 work 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.