Development of Novel Digital Equalizers for Noisy Nonlinear Channel using Artificial Immune System

Abstract

Transmission and storing of high density digital information plays an important role in the present age of communication and information technology. These data are distorted while reading out of the recording medium or arriving at the receiver end due to inter symbol interference in the channel. The adaptive channel equalizer alleviates this distortion and reconstructs the transmitted data faithfully. In recent years the area of artificial immune system (AIS) has drawn attention of many researchers due to its broad applicability to different fields. In this paper, we propose a novel digital channel equalizer using AIS algorithm. Simulation study has been carried out to show superior performance of the proposed equalizer particularly for nonlinear noisy channels compared to that offered by LMS and GA based training.