A novel near maximum likelihood detection scheme for wireless MIMO systems

被引：0

作者：

Chen, Jiming ^{[1
]}

Mow, Wai He ^{[1
]}

Li, Shaoqian ^{[2
]}

机构：

[1] Hong Kong Univ Sci & Technol, Dept EEE, Hong Kong, Peoples R China

[2] Univ Elect Sci & Technol China, Nat Lab commun, Chengdu 610054, Peoples R China

来源：

PROCEEDINGS OF 2006 IEEE INFORMATION THEORY WORKSHOP | 2006年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose a novel near maximum likelihood detection (MLD) scheme for wireless multiple-input multipleoutput (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.

引用

页码：576 / +

页数：2

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