Spatial Multiplexing (SM) over multiple-input multiple output (MIMO) channels significantly improves the data rates over wireless channels. The challenge is to design low complexity and high performance algorithms that capable of accurately detecting the transmitted signals. In this paper, the general model of MIMO communication
system was introduced in addition to several MIMO Spatial Multiplexing (SM) detection techniques. The Bit Error Rate (BER) performance and computational complexity of Minimum Mean Square Error (MMSE), Zero Forcing (ZF), and Maximum Likelihood (ML) detection schemes have been analyzed and compared to each other using Matlab R2009b. Results of simulation illustrates that their performances of MMSE and ZF detectors are close together and need more than 14 dB of Signal to Noise Ratio (SNR) to achieve 10-4 BER. On the other hand ML detector shows better results than MMSE and ZF detectors but the complexity and the delay are
large. Been proposed to install the number of transmitter antennas fixed on 2 and change receiving antennas 2, 3, and 4. Results showed that the present proposal came close to the results of the previous model, but less complexity