List Stack Detection with Reduced Search Space for MIMO Communication Systems

被引:0
|
作者
Chin, W. H. [1 ]
Sun, S. [1 ]
机构
[1] Inst Infocomm Res, Modem Technol Lab, Singapore 119613, Singapore
来源
2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6 | 2006年
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
The interest in near-ML detection algorithms for Multiple-Input/Multiple-Output (MIMO) systems have always been high due to their drastic performance gain over suboptimal algorithms. Algorithms such as the M algorithm and the Stack algorithm yields near-ML performance while only requiring a fraction of the computational complexity of an ML receiver. While the Stack algorithm is computationally less intensive than the M algorithm for uncoded systems and hard decision decoding, the reverse is true for soft decision decoding as a candidate list is required to compute the soft metric. The M algorithm can easily generate a candidate list at no extra cost, the Stack algorithm, on the other hand, would require more iterations to generate the list. In this paper, we propose a modified Stack algorithm which have a lower computational complexity than a conventional one without sacrificing much of the performance of the algorithm.
引用
收藏
页码:1713 / 1716
页数:4
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