基于相异度的快速MIMO天线选择算法

Fast antenna selection based on dissimilarity in MIMO system

在多输入多输出(MIMO)天线选择技术中,穷举搜索算法获得了最优性能,但其复杂度太高,通常无法应用于实时通信.传统基于相关度的次优天线选择算法大大降低了复杂度,但是损失了较大的容量性能.针对这一问题,文中提出一种基于相异度的天线选择算法,该算法以相异系数来度量天线间的相关性,提高了相关性判决的准确性.与传统基于相关度的算法相比,文中所提算法可获得较好的容量性能,且具有较低的计算复杂度.仿真结果验证了所提算法的有效性和可行性.

The exhaustive search algorithm obtains the optimal performance in multiple-input multiple out（MIMO） antenna selection,but it has the huge computation complexity and can not be applied to real-time communications.The traditional suboptimal algorithm of CBM lowers the complexity greatly,but losses the larger capacity.For this problem,we proposed a dissimilarity based antenna selection algorithm which measures correlation by dissimilarity coefficient,making the correlation measurement more accurate.In contrast with the traditional CBM,the proposed method has better capacity property and provides lower complexity.The simulation results verified the effectiveness and feasibility of the proposed algorithm.