In multiple-input multiple-output communications, channel estimation is paramount to keep base stations and users on track. This paper proposes a novel PCA-based-principal component analysis-channel estimation approach for MIMO orthogonal frequency division multiplexing systems. The channel frequency response is firstly estimated with the least squares method, and then PCA is used to filter only the higher singular components of the channel impulse response, which is then converted back to the frequency domain. The proposed approach is compared with the MMSE, the minimum mean square error estimation, in terms of bit error rate versus Eb/N0.

中文翻译：

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基于 PCA 的 MIMO 通信信道估计

在多输入多输出通信中，信道估计对于保持基站和用户正常运行至关重要。本文提出了一种新的基于主成分分析的MIMO正交频分复用系统的信道估计方法。首先用最小二乘法估计信道频率响应，然后使用 PCA 仅过滤信道脉冲响应的较高奇异分量，然后将其转换回频域。在误码率与 Eb/N0 方面，将所提出的方法与最小均方误差估计 MMSE 进行了比较。