The Simulation of the Signal Detection Algorithm in MIMO System Application

With the increase of the antennas number in the MIMO system, the error and distortion caused by the signal interference between antennas increase. The signal detection algorithm can effectively reduce the bit error rate. In this paper, the minimum mean squared error algorithm (MMSE), zero-forced algorithm (ZF), serial interference cancellation zero-forced algorithm (ZF-SIC) and serial interference cancellation minimum mean squared error algorithm (MMSE-SIC) are compared. Furthermore, the bit error simulation and complexity analysis of these detection algorithms are performed by MATLAB software. The increase of receiving antennas can reduce the bit error rate because of the diversity gain of multiple antennas. The error rate using MMSE is lower than ZF due to the enlarged noise by ZF algorithm. SIC can improve the detection accuracy in which the decision feedback mechanism is introduced. The results show MMSE-SIC is better than MMSE by 6dB and ZF-SIC better than ZF by 5dB. MMSE-SIC algorithm has the best detection performance.