大规模MIMO系统中的信号子空间变步长LMS自适应波束形成算法
Signal Sub-Space Based Variable Step Size LMS Adaptive Beamforming Algorithm for Massive MIMO Systems
摘要: 本文针对变步长LMS自适应波束形成算法在相关矩阵特征值分散时收敛特性不理想的问题，提出一种可用于大规模MIMO系统的信号子空间变步长LMS自适应波束形成算法(SS-VSLMS)。该算法中的权矢量仅保留信号子空间分量，可获取基于指数因子最优步长，提高算法收敛速度；同时引入误差相关性分析，最大限度减小稳态误差；并通过提取信号子空间的权矢量，提高系统抗干扰能力。仿真实验表明，该改进算法能够满足大规模MIMO系统的收敛性和抗干扰要求。
Abstract: In this paper, an improved variable step size LMS adaptive beamforming algorithm based on signal sub-space (SS-VSLMS) is proposed to solve some problems of LMS adaptive beamforming algorithm when the eigenvalue of the correlation matrix is not ideal for large scale MIMO systems. The weight vector in the algorithm only preserves the subspace component of the signal, and can obtain the optimal step length based on the exponential factor and improve the convergence speed of the algorithm. At the same time, the error correlation analysis is introduced to minimize the steady state error, and the power vector of the signal subspace is extracted to improve the an-ti-interference ability of the system. Simulation results show that the improved algorithm can meet the convergence and anti-interference requirements of large-scale MIMO systems.
文章引用：慈能达, 余小游, 蒋娅林, 田丽佳, 马和峰, 林培英, 杜青松, 马娟. 大规模MIMO系统中的信号子空间变步长LMS自适应波束形成算法[J]. 无线通信, 2018, 8(3): 133-140. https://doi.org/10.12677/HJWC.2018.83015

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