一种快速的MIMO系统联合收发端天线选择算法

A fast joint transmitting and receiving antenna selection algorithm for MIMO systems

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。

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.