Title :
A novel analytical method for maximum likelihood detection in MIMO multiplexing systems
Author :
Peng, Wei ; Ma, Shaodan ; Ng, Tung-Sang ; Wang, Jiangzhou
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
Abstract :
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 are investigated. The accuracy of the proposed method 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).
Keywords :
MIMO communication; Monte Carlo methods; channel estimation; error statistics; maximum likelihood detection; multiplexing; wireless channels; MIMO multiplexing system; Monte-Carlo simulation; SEP; analytical method; imperfect channel estimation; maximum likelihood detection; multiple-input multiple-output system; power allocation scheme; symbol error probability; total probability theorem; Analytical models; Channel estimation; Error analysis; Error probability; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Performance analysis; Signal analysis; Transmitting antennas; MIMO, maximum likelihood detection, performance analysis, imperfect channel estimation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.08.70432
