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

Volume

57

Issue

8

fYear

2009

Firstpage

2264

Lastpage

2268

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;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2009.08.70432

Filename

5201018