Analysis of Equalization in MIMO System

Due to advancement in recent years, wireless communication system has become integral part of our life during the last decade. Because of rapid popularity of wireless system, there has been tremendous demand in data rates leading to development of higher bandwidth over existing cellular networks. But due to limitations in power transmission and implementation complexity, its designing becomes main challenge. Various wireless channel impairments such as fading of signals, interference and noise addition during data transmission creates further problems. Multiple Input Multiple Output (MIMO) is one such wireless technology which increases the efficiency of data transmission to a great extent along with improved reliability and wide coverage. When data is transmitted at higher rate, channel impulse can create ISI (Inter-symbol interference). Equalization is a well-known technique to eradicate ISI. This paper analyzes the performances of equalization techniques like Zero-forcing (ZF), Minimum mean square error (MMSE), ZF-Successive interference cancellation (ZF-SIC), MMSE-SIC, ZF-SIC & MMSE-SIC with Optimal Ordering, Maximum likelihood (ML) and Sphere decoder (SD) considering 2x2 MIMO over a flat fading Rayleigh multipath channel.