Title :
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
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;
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
DOI :
10.1109/ITW2.2006.323699
