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Investigation on the FFT-Based Antenna Selection for Compact Uniform Circular Arrays in Correlated MIMO Channels

机译:相关MIMO信道中紧凑均匀圆形阵列基于FFT的天线选择研究

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Using the beamspace preprocessing in RF chains, the fast Fourier transform (FFT)-based antenna selection scheme can reduce the performance degradation of traditional antenna selection schemes in correlated multiple-input multiple-output (MIMO) channels. Based on this technique, an antenna selection method in beamspace is developed for MIMO systems using compact uniform circular arrays (UCAs) at the receiver. To take advantages of the FFT-based antenna selection scheme for application in practical scenarios, a parametric physical model that considers the geometrical properties of the scattering environment is introduced to include realistic fading conditions into the channel matrix. Furthermore, due to the limited spatial phase modes of UCAs, the channel matrix resulting from the beamspace preprocessing only possesses a limited and small number of nonzero rows. This substantially reduces the computational load in the following beam selection procedure. More importantly, the optimal beam selection can be realized even without channel state information (CSI) at the receiver. This characteristic is especially useful for compact UCAs with a large number of elements. Besides, it is also found that the severe mutual coupling effect resulting from compact UCAs does not affect these favorable characteristics of the FFT-based preprocessing technique. Numerical examples considering strong mutual coupling in compact UCAs are provided to verify and validate the proposed method.
机译:使用RF链中的波束空间预处理,基于快速傅里叶变换(FFT)的天线选择方案可以减少相关的多输入多输出(MIMO)信道中传统天线选择方案的性能下降。基于该技术,针对在接收器处使用紧凑均匀圆形阵列(UCA)的MIMO系统,开发了波束空间中的天线选择方法。为了利用基于FFT的天线选择方案在实际场景中的应用优势,引入了考虑散射环境的几何特性的参数物理模型,以将现实的衰落条件纳入信道矩阵。此外,由于UCA的空间相位模式有限,因此由波束空间预处理产生的信道矩阵仅具有数量有限且数量较少的非零行。这实质上减少了随后的光束选择过程中的计算负荷。更重要的是,即使在接收机中没有信道状态信息(CSI),也可以实现最佳波束选择。对于具有大量元素的紧凑型UCA,此特性特别有用。此外,还发现由紧凑的UCA引起的严重的互耦合效应不会影响基于FFT的预处理技术的这些有利特性。提供了在紧凑型UCA中考虑强互耦的数值示例,以验证和验证所提出的方法。

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