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中南大学学报(自然科学版)

Journal of Central South University

第47卷    第2期    总第258期    2016年2月

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文章编号:1672-7207(2016)02-0482-06
一种快速的MIMO系统联合收发端天线选择算法
施荣华,谢羽嘉,董健,胡炳浩

(中南大学信息科学与工程学院,湖南长沙,410083)

摘 要: 基于MIMO系统发射端和接收端的多天线配置使信道容量和传输可靠性成倍提高,天线选择算法能保持系统优点的同时降低实现复杂度和硬件成本,为在信道环境实时变化条件下快速选择出最优的天线子集,提出一种新的MIMO系统联合收发端天线选择算法。基于二进制粒子群算法思想,通过对MIMO系统信道容量公式的分析,导出采用二进制编码字符串表示的信道容量,以此作为粒子群算法的适应度函数简化计算量;同时采用循环移位种群初始化以提高搜索效率,提高信道容量。仿真结果表明:新算法在降低计算复杂度的同时,获得的信道容量比其他几种次优算法的更高。

 

关键词: MIMO系统;天线选择;二进制粒子群算法;种群初始化;信道容量

A fast joint transmitting and receiving antenna selectionalgorithm for MIMO systems
SHI Ronghua, XIE Yujia, DONG Jian, HU binghao

School of Information Science and Engineering, Central South University, Changsha 410083, China

Abstract:Considering that the multiple antenna configurations in transmitter and receiver of MIMO (multi-input multi-output) system can improve the transmission reliability and channel capacity exponentially, and antenna selection algorithm can retain the advantages of MIMO system and reduce the implementation complexity and hardware cost, in order to quickly select the antenna subset from the changeable channel environment, a new fast joint transmitting and receiving antenna selection algorithm was presented. Based on binary particle swarm algorithm (BPSO), channel capacity expressed by binary coded string was used to reduce the computational complexity. By employing cyclic shift population initialization, the improvement of search efficiency and higher channel capacity was obtained. The results show that the new algorithm can reduce the computational complexity and obtain higher channel capacity than other sub-optimal algorithms.

 

Key words: MIMO system; antenna selection; particle swarm optimization; population initialization; channel capacity

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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