毫米波MIMO系统中一种低复杂度的混合波束成形算法  

A Low Complexity Hybrid Beamforming Algorithm for Millimeter-wave MIMO Systems

作　　者：黄天赐 杜江[1,2] 马腾 刘海波 HUANG Tianci;DU Jiang;MATeng;LIU Haibo(College of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225,China;Key Laboratory of Meteorological Information and Signal Processing in Universities of Sichuan Province,Chengdu 610225,China)

机构地区：[1]成都信息工程大学通信工程学院,四川成都610225 [2]气象信息与信号处理四川省高校重点实验室,四川成都610225

出　　处：《成都信息工程大学学报》2021年第6期596-601,共6页Journal of Chengdu University of Information Technology

基　　金：四川省教育厅高校创新团队资助项目(15TD0022)。

摘　　要：考虑到5G关键技术毫米波MIMO系统中波束成形的成本和功耗问题,提出适用于单用户情况下低复杂度的混合波束成形算法。该算法利用数字预编码器的正交特性,从等效预编码器的相位中提取模拟预编码器相位,通过交替最小化迭代计算出发射端预编码矩阵;接收端处基于SVD分解求解出最优预编码矩阵从而求解出最优合并矩阵,利用基追踪原理求解出模拟合并矩阵后,通过最小二乘解求出数字合并矩阵。仿真结果表明,文中提出的算法接近于全数字波束成形算法的性能且有较低的成本和复杂度。Considering the cost and power consumption of beamforming in 5G millimeter-wave MIMO communication systems,a low complexity hybrid beamforming algorithm for single user is proposed.Based on the orthogonal characteristics ofof the digital precoding,the phase of the analog precoding is extracted from the phase of the equivalent precoder,and the transmitting precoding matrix is calculated by alternating minimization iteration.At the receiving end,the optimal precoding matrix is solved based on SVD decomposition,then the optimal merging matrix is solved.Using the principle of basis pursuit,the analog merging matrix is solved,and the digital merging matrix is solved by the least square solution.Simulation results show that the performance of the proposed algorithm is close to that of the full digital beamforming algorithm with lower cost and complexity.

关 键 词：毫米波MIMO 混合波束成形 射频链路 频谱效率 

分 类 号：TN929.5[电子电信—通信与信息系统]