Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer

TL;DR

This paper presents an improved LMS-based decision feedback equalizer designed to effectively eliminate inter-symbol interference by enhancing convergence speed through adaptive weight updates.

Contribution

It introduces modifications to the LMS algorithm in DFE to accelerate convergence and improve ISI removal performance.

Findings

Faster convergence of the LMS algorithm in DFE.

Effective removal of ISI in simulated channels.

Enhanced robustness of the equalizer.

Abstract

This paper deals with the implementation of Least Mean Square (LMS) algorithm in Decision Feedback Equalizer (DFE) for removal of Inter Symbol Interference (ISI) at the receiver. The channel disrupts the transmitted signal by spreading it in time. Although, the LMS algorithm is robust and reliable, it is slow in convergence. In order to increase the speed of convergence, modifications have been made in the algorithm where the weights get updated depending on the severity of disturbance.