A Novel Analytical Method for Maximum Likelihood detection in MIMO Multiplexing Systems

This letter addresses the problem of symbol error probability (SEP) analysis for maximum likelihood (ML) detection in multiple-input multiple-output (MIMO) multiplexing systems. A new analytical method is presented based on the Total Probability Theorem. The effects of imperfect channel estimation and power allocation scheme is demonstrated by Monte-Carlo simulations. It is shown that the analytical results match quite well with the simulation ones irrespective of the signal-to-noise ratio (SNR)