基于wNSA-Gauss-Seidel的Massive MIMO软输出信号检测算法研究  

Research on Massive MIMO Soft Output Signal Detection Algorithm Based on wNSA-Gauss-Seidel

作　　者：王涛 WANG Tao(Shenzhen Electrical Appliances Co.,Shenzhen Guangdong 518001)

机构地区：[1]深圳电器公司,广东深圳518001

出　　处：《河南科技》2021年第17期8-12,共5页Henan Science and Technology

摘　　要：基于高斯-赛德(Gauss-Seidel,GS)和加权Neumann序列展开式(weight Neumann Series Approximation,wNSA)相结合的方法,在大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)系统中进行信号检测研究。首先,将基于GS的软输出信号检测算法作为研究对象,证实相比于传统的Neumann算法,GS迭代算法具有更优的性能。其次,在传统Neumann序列展开算法的基础上研究加权Neumann序列展开算法,并将加权Neumann序列作为GS算法的迭代初值,设计得到w NSA-Gauss-Seidel算法,显著提升收敛速率。实验结果表明,相比于现有GS迭代算法和美国国家安全局(National Security Agency,NSA)的信号检测算法,基于wNSAGauss-Seidel的信号检测算法不仅在性能方面具有明显优势,而且在具有挑战性的信道传播环境中能够以较低的复杂度获得接近最小均方误差(Minimum Mean Square Error,MMSE)信号检测算法的性能。Based on the method of combining GS and wNSA,the signal detection research is carried out in the massive MIMO system.First of all,the soft output signal detection algorithm based on GS is taken as the research object,which proves that compared with the traditional Neumann algorithm,the GS iterative algorithm has better performance.Secondly,based on the traditional Neumann sequence expansion algorithm,the weighted Neumann sequence expansion algorithm is studied,and the weighted Neumann sequence is used as the initial value of the iteration of the GS algorithm,and the wNSA-Gauss-Seidel algorithm is designed to significantly improve the convergence rate.The experimental results show that,compared with the existing GS iterative algorithm and NSA signal detection algorithm,the signal detection algorithm based on wNSA-Gauss-Seidel not only has obvious advantages in performance,but also can obtain performance close to the MMSE signal detection algorithm with lower complexity in a challenging channel propagation environment.

关 键 词：大规模多输入多输出(MIMO)系统 高斯-赛德(GS) Neumann序列 信号检测 

分 类 号：TN929.5[电子电信—通信与信息系统]