Title :
A Novel Near Maximum Likelihood Detection Scheme for Wireless MIMO Systems
Author :
Jiming Chen ; Wai Ho Mow ; Shaoqian Li
Author_Institution :
National Key lab. of Communication, University of Electronic Science and Technology of China, P. R. China, 610054. Email: jimchen@uestc.edu.cn
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 :
Computational complexity; Detection algorithms; Detectors; Interference; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Mean square error methods; Noise reduction; Signal to noise ratio;
Conference_Titel :
Information Theory Workshop, 2006. ITW '06 Punta del Este. IEEE
Conference_Location :
Punta del Este, Uruguay
Print_ISBN :
1-4244-0035-X
Electronic_ISBN :
1-4244-0036-8
DOI :
10.1109/ITW.2006.322884
