DocumentCode
1800629
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
fYear
2006
fDate
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
Computational complexity; Detection algorithms; Detectors; Interference; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Mean square error methods; Noise reduction; Signal to noise ratio;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ITW.2006.322884
Filename
4117539
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