In this paper, we present a gridless channel estimation algorithm for a hybrid millimeter wave (mmWave) MIMO-OFDM system assuming a frequency-selective channel. The proposed algorithm is based on the Tensor-ESPRIT in DFT beamspace algorithm framework. First, we derive the R -dimensional (R -D) Standard/Unitary Tensor-ESPRIT in DFT beamspace framework and its analytic performance. We show that ESPRIT-type algorithms in a reduced-dimensional DFT beamspace can provide a significant performance gain over ESPRIT-type algorithms in full DFT beamspace and in element space under mild conditions. Afterwards, we develop a gridless channel estimation algorithm that is based on 3-D Tensor-ESPRIT in DFT beamspace algorithms. Numerical simulation results show that the proposed channel estimation algorithm can provide accurate channel estimates using only a few training resources.

中文翻译：

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通过 DFT 波束空间中的 Tensor-ESPRIT 算法对混合毫米波 MIMO 系统进行无网格信道估计


在本文中，我们提出了一种用于假设频率选择性信道的混合毫米波 (mmWave) MIMO-OFDM 系统的无网格信道估计算法。所提出的算法基于DFT波束空间中的Tensor-ESPRIT算法框架。首先，我们推导了DFT波束空间框架中的R维（R -D）标准/酉张量-ESPRIT及其解析性能。我们证明，降维 DFT 波束空间中的 ESPRIT 类型算法可以比完整 DFT 波束空间和温和条件下的元素空间中的 ESPRIT 类型算法提供显着的性能增益。随后，我们在DFT波束空间算法中开发了一种基于3-D Tensor-ESPRIT的无网格信道估计算法。数值仿真结果表明，所提出的信道估计算法仅使用少量训练资源即可提供准确的信道估计。