大规模MIMO系统中基于预处理的Richardson算法  

Richardson Algorithm Based on Preprocessing in Large-scale MIMO Systems

作　　者：冯姣 刘思晴 FENG Jiao;LIU Siqing(School of Electronic&Information Engineering,Nanjing University of Information Science&Technology,Nanjing 210044)

机构地区：[1]南京信息工程大学电子与信息工程学院,南京210044

出　　处：《计算机与数字工程》2025年第1期5-10,共6页Computer & Digital Engineering

摘　　要：最小均方误差(Minimum Mean Square Error,MMSE)检测算法是大规模多输入多输出(massive MIMO)系统中能够实现接近最优检测性能的一种算法,但包含对高维矩阵的求逆运算,复杂度较高,因此不适合应用在实际工程中。针对这一问题,文章基于矩阵分块思想和理查德森(Richardson,RI)算法,提出了一种预处理的理查德森(Pretreatment-Richardson,P-RI)迭代算法,该算法首先基于矩阵分块思想构造了一种新形式的线性迭代,然后用此线性迭代对理查德森算法进行预处理,有效提升了算法的收敛速度。实验结果显示,与现有的RI算法相比,该算法的检测性能更好。The minimum mean square error(MMSE)detection algorithm is an algorithm that can achieve near optimal detec⁃tion performance in large-scale multiple input multiple output(MIMO)systems,but it involves the inversion of high-dimensional matrices,which has high complexity,so it is not suitable for application in practical projects.To solve this problem,this paper pro⁃poses a pretreatment Richardson(P-RI)iterative algorithm based on the idea of matrix blocking and Richardson(RI)algorithm.The algorithm first constructs a new form of linear iteration based on the idea of matrix blocking,and then preprocesses the Richard⁃son algorithm with this linear iteration,which effectively improves the convergence speed of the algorithm.Experimental results show that compared with the existing RI algorithm,the detection performance of this algorithm is better.

关 键 词：massive MIMO 最小均方误差算法 矩阵分块 预处理 理查德森算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]