A comparative analysis in equalization

Abstract

The demand of wireless communication systems has been increased to greater extent because of offering high throughput, wide coverage, and improved reliability. One of the approaches to achieve these is MIMO systems that can efficiently boost the data transmission rate and improves the system coverage by considering multiple numbers of transmitter and receiver antennas and employing the spatial dimensions. This article focuses on the comparison of equalization techniques for Rician Flat fading and Rayleigh frequency selective fading channel. The performance of these channels based on BER has been considered and it has been found that Rician Flat Fading Channel is the best and Frequency Selective Channel is the worst. It has also been observed that the MMSE and ZF give the worst performance in Rayleigh frequency selective channel as compare to Rician Flat Fading Channel and Rayleigh Flat fading Channel [35]. By analyzing equalization techniques in terms of BER, It has been observed that the successive interference methods outperform the ZF and MMSE however their complexity is higher due to iterative nature of the algorithms. ML provides the better performance in comparison to others. Sphere decoder provides the best performance and the highest decoding complexity as compare to ML and it is the best suited method to remove ISI in Frequency selective fading channel in MIMO systems.