A Novel Near Maximum Likelihood Detection Scheme for Wireless MIMO Systems

Author

Chen, Jiming ; Mow, Wai Ho ; Li, Shaoqian

Author_Institution

Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2006

fDate

22-26 Oct. 2006

Firstpage

576

Lastpage

580

Abstract

In this paper, we propose a novel near maximum likelihood detection (MLD) scheme for wireless multiple-input multiple-output (MIMO) systems. The scheme is to reduce the dimension by first using the minimum mean square error (MMSE) detection to fix symbols with high signal to interference plus noise ratio (SINR), and then calculate the bit log-likelihood ratio (LLR) for the initial MMSE estimate, construct a list of reliability-based candidate vectors using the corresponding LLR, and return the most likely bit vector among all visited options. Simulation results show that the proposed method can approach identical performance to that of MLD but with a significant reduction in complexity

Keywords

MIMO communication; least mean squares methods; maximum likelihood detection; bit log-likelihood ratio; minimum mean square error detection; near maximum likelihood detection scheme; reliability-based candidate vectors; signal to interference plus noise ratio; wireless MIMO systems; wireless multiple-input multiple-output systems; Computational complexity; Detection algorithms; Detectors; Information theory; Interference; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Noise reduction; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory Workshop, 2006. ITW '06 Chengdu. IEEE

Conference_Location

Chengdu

Print_ISBN

1-4244-0067-8

Electronic_ISBN

1-4244-0068-6

Type

conf

DOI

10.1109/ITW2.2006.323699

Filename

4119364