针对非理想信道的多输入多输出(MIMO)系统,提出了一种鲁棒的基于几何均值分解方法的矢量预编码算法.利用非理想信道误差矩阵的二阶统计信息,以最小化收发信号的均方误差为准则,求出基于几何均值分解矢量预编码的最优扰动矢量和预编码矩阵.仿真结果表明,该鲁棒算法优于现有的基于几何均值分解矢量预编码算法性能.在高信噪比时,误码率可提高2dB以上.
A robust vector-precoding(VP) algorithm based on geometric mean decomposition(GMD) method was proposed for multiple input multiple output(MIMO) system with imperfect channel state information(CSI).By exploiting statistical information of CSI and minimizing the mean square error of signal vectors transmitted and received,the optimal perturbation vector and precoding matrix based on GMD method were got.The simulation results show that the proposed robust GMD-VP scheme outperforms the existing methods.The performance gain is at least 2dB at high SNRs.