MIMO系统中球形解码算法性能仿真比较 |
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引用本文: | 陈建青,葛利嘉,韩辉,双涛.MIMO系统中球形解码算法性能仿真比较[J].无线电通信技术,2012,38(6). |
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作者姓名: | 陈建青 葛利嘉 韩辉 双涛 |
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作者单位: | 重庆通信学院应急通信重庆市重点实验室,重庆,400035 |
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基金项目: | 基金项目:重庆市科技攻关计划项目,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 |
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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。
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关 键 词: | MIMO 最大似然检测 球形解码 搜索策略 |
Sphere Decoding Algorithm Performance Simulation and Comparison for MIMO System |
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Abstract: | 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 flat fading environment. |
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Keywords: | MIMO maximum-likelihood detection sphere decoding search strategy |
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