Gridless Channel Estimation for Hybrid mmWave MIMO Systems via Tensor-ESPRIT Algorithms in DFT Beamspace

被引:42
作者
Zhang, Jianshu [1 ]
Rakhimov, Damir [1 ]
Haardt, Martin [1 ]
机构
[1] Ilmenau Univ Technol, Commun Res Lab, D-98684 Ilmenau, Germany
关键词
5G mmWave communications; channel estimation; ESPRIT in DFT beamspace; hybrid MIMO; tensor signal processing; PERFORMANCE ANALYSIS; ESTIMATION ACCURACY; CLOSED-FORM; DECOMPOSITION;
D O I
10.1109/JSTSP.2021.3063908
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:816 / 831
页数:16
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