Improved K-Best Algorithm for Low-Complexity MIMO Detector

被引：0
|
作者：
Yang, Junmei [1 ]
Zhang, Chuan [1 ]
You, Xiaohu [1 ]
Xu, Shugong [2 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing, Jiangsu, Peoples R China
[2] Intel Labs, Intel Collaborat Res Inst Mobile Networking & Com, Beijing, Peoples R China
来源：
2014 SIXTH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP) | 2014年
关键词：
Multi-input multi-output (MIMO); detector; K-best algorithm; relaxed sorting;
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, an improved K-best algorithm, which is suitable for low-complexity MIMO detector implementation is proposed. In order to balance the detector's bit-error-rate (BER) performance and computation complexity, several techniques, such as empirical path expansion and relaxed sorting have been proposed. Simulation results have shown that the proposed algorithm can achieve better computation efficiency while keep similar BER performance compared to the state-of-the-art ones. Furthermore, the corresponding detector MIMO architecture is also proposed.
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页数：6
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