Adaptive joint maximum-likelihood detection and minimum-mean-square error with successive interference canceler over spatially correlated multiple-input multiple-output channels

被引:5
作者
Fan, Lisheng [1 ]
Zhang, Yangyang [2 ]
Jiang, Yongquan [1 ]
Fukawa, Kazuhiko [3 ]
Suzuki, Hiroshi [3 ]
Wong, Kai-Kit [2 ]
机构
[1] Shantou Univ, Shantou, Guangdong, Peoples R China
[2] UCL, London, England
[3] Tokyo Inst Technol, Tokyo 152, Japan
基金
中国国家自然科学基金;
关键词
MIMO systems; spatially correlated channels; MLD; MMSE with SIC; noise enhancement; PERFORMANCE ANALYSIS; MIMO; ALGORITHMS; CAPACITY; SINR;
D O I
10.1002/wcm.1172
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We develop an efficient hard detector for multiple-input multiple-output (MIMO) channels, which adaptively combines maximum-likelihood detection (MLD) and minimum-mean-square error with a successive interference canceler together. Unlike the conventional joint combination scheme, which may suffer from considerable degradation in bit-error-rate (BER) performance over correlated channels and where only one data stream is detected by MLD, our proposed scheme adaptively controls the number of data streams to be detected by MLD based on an analytical characterization of reliability for the detection. Simulation results illustrate that near-optimal BER performance can be obtained at much lower computational complexity by the proposed method as compared with existing techniques, regardless of the spatial correlation of the MIMO channels. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:1192 / 1204
页数:13
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