Low Complexity Signal Detection Based on WL Decomposition for MIMO Systems

被引：0
|
作者：
Lian, Jing [1 ]
Zhang, Zhenyu [1 ]
Wang, Xiyuan [2 ]
Liu, Xiaofei [1 ]
Dai, Xiaoming [1 ]
机构：
[1] Univ Sci & Technol Beijing, Beijing Engn & Technol Res Ctr Convergence Networ, Inst Adv Network Technol & New Serv, Beijing 100083, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Sch Informat & Commun Engn, Beijing 100101, Peoples R China
来源：
2019 28TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC) | 2019年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
Multiple-input multiple-output (MIMO); WL decomposition (WLD); bit error ratio (BER); complexity;
D O I：
10.1109/wocc.2019.8770538
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The detection algorithms based on QR decomposition can obtain good detection performance with significant complexity reduction, such as the layered orthogonal lattice detector (LORD). However, it can achieve near-optimal performance in multiple input multiple-output (MEMO) systems with two transmit antennas. In order to make it applicable to high-order MIMO systems, this paper designs a subspace detection algorithm based on WL decomposition (WLD) which alleviate the limitations of the LORD algorithm. Simulation results show that the designed algorithm can outperform the QR decomposition based M-algorithm (QRD-M) while maintaining low complexity.
引用
收藏
页码：365 / 369
页数：5
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