Implementation of Normalized Mean Square (NLMS) Adaptive Equilization for Wireless

Project Description

In modern digital communications, it is well known that channel equalization plays an important role in compensating channel distortion. Unfortunately, most channels have time varying characteristic and their transfer functions change with time. Also, time-varying multipath interference and multiuser interference are two major limitations for high speed digital communications. Usually, adaptive equalizers are applied in order to overcome these issues. For adaptive channel equalization, we need a suitable filter structure and proper adaptive algorithms. High-speed digital transmissions mostly suffer from inter-symbol interference (ISI) and additive noise. The adaptive equalization algorithms recursively determine the filter coefficients in order to eliminate the effects of noise and ISI. Several algorithms like Least Mean Square (LMS), Recursive Least Mean Square (RLMS), Normalized Least Mean Square (NLMS) etc., has been proposed to perform this operation of equalization. In this project, we study the adaptive equalization technique with the use of normalized least mean Square algorithm.