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Transmit beamforming method based on maximum-norm combining for MIMO systems

机译:基于最大范数合并的MIMO系统发射波束成形方法

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In this paper, we present a low-complexity method to generate a transmit beamforming vector for multiple-input-multiple-output (MIMO) systems. We begin by introducing new definitions regarding orthogonality between two complex valued vectors and then present new expressions of complex rotation matrices for the complex vector orthogonalization. The rotation matrices are utilized to derive the weight vector for the maximum-norm combining (MNC) process of two complex vectors, which provides a constructive basis for a new beamforming method. The proposed transmit beamforming method uses successive column combining of MIMO channel matrices based on MNC, and as a result, an approximate solution to the optimum beamforming vector is obtained. The proposed method offers a good tradeoff between complexity and performance. Simulation results demonstrate that the proposed beamforming method achieves the near-optimal performance with much reduced computational complexity, compared to the optimal beamforming scheme using singular-value decomposition (SVD) of the channel matrix.
机译:在本文中,我们提出了一种低复杂度的方法来生成用于多输入多输出(MIMO)系统的发射波束成形矢量。我们首先介绍有关两个复数值向量之间正交性的新定义,然后介绍用于复数向量正交化的复数旋转矩阵的新表达式。利用旋转矩阵为两个复矢量的最大范数合并(MNC)过程得出权重矢量,为新的波束形成方法提供了建设性的基础。所提出的发射波束形成方法使用了基于MNC的MIMO信道矩阵的连续列合并,从而获得了最佳波束形成矢量的近似解。所提出的方法在复杂性和性能之间提供了很好的折衷。仿真结果表明,与使用信道矩阵奇异值分解(SVD)的最佳波束形成方案相比,所提出的波束成形方法在降低计算复杂度的同时实现了近乎最佳的性能。

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