QAM-MIMO signal detection using semidefinite programming relaxation

被引:0
|
作者
Mao, Zhiwei [1 ]
Wang, Xianmin
Wang, Xiaofeng [2 ]
机构
[1] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON P7B 5E1, Canada
[2] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源
GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11 | 2007年
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A semidefinite programming (SDP) relaxation approach is proposed to solve signal detection problems in multiple-input multiple-output (MIMO) systems with M-ary quadrature amplitude modulation (M-QAM). In the proposed approach, the optimal M-ary maximum likelihood (ML) detection is carried out by converting the associated M-ary integer programming problem into a binary integer programming problem. Then a relaxation approach is adopted to convert the binary integer programming problem into an SDP problem. This relaxation process leads to a detector of much reduced complexity. A multistage approach is then proposed to improve the performance of the SDP relaxation based detectors. Computer simulations demonstrate that the symbol-error rate (SER) performance offered by the proposed multistage SDP relaxation based detectors outperforms that of several existing suboptimal detectors.
引用
收藏
页码:4232 / +
页数:2
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