摘要
针对多输入多输出(MIMO)系统接收机的软输出MIMO译码问题,提出了一种低复杂度的球形译码算法.该算法基于传统的Dijkstra球形译码算法,引入查找表机制和单树更新软值(LLR)的算法,改进Dijkstra球形译码进出栈的方法,减少系统的存储开销.在不降低系统性能的前提下,有效减少接收机的复杂度.仿真结果表明,在不同调制方式下,新的球形译码算法与最大似然(ML)译码算法性能几乎相同,同时算法复杂度大为降低.
This paper proposed a novel low complexity soft output sphere decoding algorithm for multiple input multiple-output (MIMO) system. Based on the traditional Dijkstra sphere decoding algorithm, the paper uses look-up table and single tree-search to update soft value (LLR) mechanism, improving enumer ation of points and in or out of stack method in Diikstra sphere decoding, reducing the cost of storage. Without reducing the performance of the system, the proposed algorithm can reduce the complexity of the receiver efficiently. The simulation results show that the proposed sphere decoding algorithm and maxi mum likelihood(ML) decoding algorithm are almost of the same performance with different modulation mode . Meanwhile the complexity of algorithm is reduced sharply.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2012年第11期1833-1837,共5页
Journal of Shanghai Jiaotong University
基金
国家科技重大专项(2011ZX03001-002-01)
关键词
多输入多输出
球形译码
软输出
低复杂度
multiple-input multiple-output(MIMO)
sphere decoding
soft output
low complexity