Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

S P Girija,Rameshwar Rao

doi:10.21924/cst.6.1.2021.224

S P Girija, Rameshwar Rao

Open Access

https://doi.org/10.21924/cst.6.1.2021.224

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Abstract

Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.

Highlights

With the extensive growth in the mobile data transmission over the wireless communication channels with higher transmission rates, there are various transmission techniques for multiple-input multiple output (MIMO) system, which marks the significance of communities in the field of signal processing as well as communications [1]
The review of the existing methods through the advantages and disadvantages are enumerated, insisting us a need to establish a new method for noise mitigation in MIMO-orthogonal frequency division multiplexing system (OFDM) systems and give the overview of the results of the proposed equalizer in MIMO-OFDM systems
The proposed fractional weighted zero-forcing (FWZF) technique acquired the minimum Bit Error Rate (BER) value compared to existing methods

Summary

Introduction

With the extensive growth in the mobile data transmission over the wireless communication channels with higher transmission rates, there are various transmission techniques for MIMO system, which marks the significance of communities in the field of signal processing as well as communications [1]. OFDM is a peculiar technique employed in the wideband wireless communication as a result of their higher data rates, spectral efficiency, and good quality of data transmission and the approach finds valuable application in numerous communication standards, like digital audio broadcasting (DAB), broadband wireless access standard, The enactment of digital communication systems engaged in WANs is reduced by adverse channel conditions and interferences, modeled as non-Gaussian impulsive noise. The SAFE approach was developed in the Gaussian Maximum Likelihood Estimation (GMLE) framework The advantage of this approach is that it had good performance in both structure restoration and noise suppression for high noise densities. Bansal and Kohli [10] introduced the orthogonal frequency division multiplexing system (OFDM), operated with the Nakagami-m multipath fading channels and using the impulsive noise excision method In this method, BER performance was degraded when a channel estimator error increased. These mitigation and clipping estimators unsurprisingly performed to the Optimal Bayesian Estimator (OBE)

Methods

Results

Conclusion