论文标题
宽带mmwave巨大的MIMO通道估计和本地化
Wideband mmWave Massive MIMO Channel Estimation and Localization
论文作者
论文摘要
已知空间宽带效应会影响毫米波（MMWave）中的通道估计和定位性能，大量多输入多输出（MIMO）系统。基于扰动分析，我们表明，即使在算法设计中未正确考虑的话，即使在中等带宽处，空间宽带效应实际上比以前的想法更为明显，并且显着降低了性能。我们提出了一种基于每个子载波多维ESPRIT的新型通道估计方法，并结合了跨子载波配对的无监督学习，该学习在宽带条件下显示出对现有方案的显着性能增长。
Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. Based on perturbation analysis, we show that the spatial wideband effect is in fact more pronounced than previously thought and significantly degrades performance, even at moderate bandwidths, if it is not properly considered in the algorithm design. We propose a novel channel estimation method based on multidimensional ESPRIT per subcarrier, combined with unsupervised learning for pairing across subcarriers, which shows significant performance gain over existing schemes under wideband conditions.
