ML Symbol Detection for MIMO Systems in the Presence of Channel Estimation Errors

Multiple-Input Multiple-Output (MIMO) systems have attracted great interest since they can improve channel capacity and reliability of wireless communications. However, adopting a MIMO system increases system complexity and cost of implementation. This paper will be dealing with receiver antenna selection to reduce implementation complexity. Space Time Sum of Squares (STSoS) combining selection diversity is used, which has much simpler implementation and provides improved Bit Error Rate (BER) performance. The effects of channel estimation errors on this selection scheme are examined. The BER of Binary Phase-Shift Keying (BPSK) in Rayleigh fading using Alamouti transmission scheme and receiver selection diversity in the presence of channel estimation error is discussed. Numerical analysis is done for different number of transmit and receive antennas and graphs are plotted showing comparison among all.