摘要
球形解码(Sphere Decoder,SD)算法能以较低的复杂度实现多输入多输出(Multiple Input Multiple Output,MIMO)系统的最优检测,是当前受到普遍关注的MIMO检测算法。对当前球形解码的主要研究成果进行综述,根据搜索策略进行分类,重点分析基于深度优先策略的VB、CL和基于宽度优先策略的K-Best、FSD算法,并且讨论了几种初始半径的选择方法,最后在准静态平坦瑞利衰落环境下对上述算法进行了性能仿真比较。
Sphere Decoding（SD） algorithm can achieve the best performance for multiple input multiple output （MIMO）systems detection with lower complexity. It is a popular MIMO detection algorithm at present. The main research results of SD algorithm are summarized. Classified by search strategy, depth-first strategy based algorithms （ VB, CL） and breadth-first strategy based algorithms （K-Best,FSD） are analyzed. Moreover, several initial radius selection methods are introduced. Finally, the performances of these algorithms are compared by simulation under the quasi-static Rayleigh fiat fading environment.
出处
《无线电通信技术》
2012年第6期38-41,共4页
Radio Communications Technology
基金
重庆市科技攻关计划项目(CSTC
2011AB2044)
重庆市科委重点实验室专项经费资助
重庆邮电大学移动通信技术重点实验室开放研究基金资助
关键词
MIMO
最大似然检测
球形解码
搜索策略
MIMO
maximum-likelihood detection
sphere decoding
search strategy
