MIMO systems equalization in Flat fading

The main challenges in the design of wireless communication systems are the limited resources, such as constrained transmission power, scarce frequency bandwidth, and limited implementation complexity-and the impairments of the wireless channels, including noise, interference, and fading effects. Multiple-Input-Multiple-Output (MIMO) communication has been shown to be one of the most promising emerging wireless technologies that can efficiently boost the data transmission rate, improve system coverage, and enhance link reliability. Equalization is a well known technique for combating inter-symbol interference. In this paper, we are considering the equalization; a filtering approach that minimizes the error between actual output and desired output by continuous updating its filter coefficients. Moreover, this article compares the performance of MIMO Systems in Rayleigh and Rician Flat fading channels. We observed that the successive interference methods provide better performance as compare to others, but their complexity is high. Simulation results shows that ML equalizer with BPSK gives better performance as compare to QPSK. Finally we concluded that Sphere decoder provides the best performance.