Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures

Abstract

This paper addresses the performance of MultipleInput-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM communication system in environments where the interfering noise exhibits non-Gaussian behavior due to impulsive phenomena. It presents the design and simulation of an adaptive receiver technique that aims to minimize the effect of impulsive noise on the performance of the MIMO-OFDM communication system under Additive White Gaussian Noise (AWGN) channel. The proposed adaptive technique uses three different types of algorithms, an Adaptive Recursive least Square (RLS), Adaptive Normalized Least Mean Square (NLMS), and Variable Step-size Adaptive Normalized Least Mean Square (VSNLMS). The real concern in generating the impulsive noise is to have the main characteristics that emulate the actual impulsive noise. Hence the impulsive noise is generated and modeled based on reference [4] using Matlab/Simulink. The bit-error-rate (BER) performance of the MIMO-OFDM system in an impulsive noise environment was evaluated. The proposed adaptive receivers' technique offers a novel approach in reducing the effect of the impulsive noise in MIMO-OFDM system. keywords -MIMO-OFDM, Impulsive Noise, RLS, NLMS, VSNLMS, Adaptive Filter.

Impulsive Noise Cancellation in OFDM System Using Low Density Parity Check

“…Further, for impulsive noise cancellation, copy of impulsive noise was produced and same was subtracted from received signal, is presented in [16] Impulsive Noise suppression in time as well as frequency domain has been proposed for OFDM in [16], where it has been showed that the combined time/frequency domain performs better and significantly reduces the impulsive noise than nonlinear methods under power line communication (PLC) systems. Removal of impulsive noise from multiple-input multiple-output (MIMO) fdm based system using adaptive filters NLMS, RLS and visual sequence Normalized Least Mean Square (VSNLMS) was proposed in [17]. In OFDM based OFDM, the Notch and Least Mean Square methods were proposed for reduction of impulsive noise in [18].…”

A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

“…The authors in [16] presented an adaptive reception technique based on the use of an impulsive noise level detector. On the other hand, the work developed in [17] introduces an alternative solution to the same problem using an adaptive reception technique through adaptive recursive least mean square (RLS), adaptive normalized least mean square (NLMS), and variable stepsize adaptive normalized least mean (VSNLMS) algorithms, which aim to minimize the effect of impulsive noise on the system performance. In [18] the authors used a nonlinear complex Multiple Support Vector Machine Regression (M-SVR) methodology for estimation of fast-fading multipath channel.…”