CHANNEL COVARIANCE IDENTIFICATION IN FDD MASSIVE MIMO SYSTEMS
CHANNEL COVARIANCE IDENTIFICATION IN FDD MASSIVE MIMO SYSTEMS
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DOI：
10.1109/globalsip.2018.8646448
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发表时间：
2018-09
期刊：
影响因子：
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通讯作者：
José P. González-Coma;Pedro Suárez-Casal;P. M. Castro;L. Castedo;M. Joham
中科院分区：
文献类型：
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作者：
José P. González-Coma;Pedro Suárez-Casal;P. M. Castro;L. Castedo;M. Joham
在大规模MIMO FDD系统中，许多信道估计方法通常依赖于信道协方差矩阵的知识来运行。然而，在实际场景中，这种协方差是事先不知道的，因此也应该估计它。在这项工作中，我们研究了不同的现有协方差识别技术，以通过非常短的训练序列实现对该矩阵的完全了解。此外，我们提出了一种改进的空间平滑方法，目的是提高信道协方差识别的质量。
Many channel estimation methods in Massive MIMO FDD systems usually rely on the knowledge of the channel covariance matrix to operate. However, in real scenarios, this covariance is not known beforehand, and hence it should also be estimated. In this work, we investigate different existing techniques for covariance identification to achieve full knowledge of this matrix with very short training sequences. Moreover, we propose a modification of the spatial smoothing approach with the goal of improving the quality of the channel covariance identification.