HOSVD-Based Beamspace Unitary Tensor ESPRIT for Millimeter-Wave Channel Estimation in 3D MIMO-OFDM Systems

被引：0

作者：

Yamazaki, Takuma ^{[1
]}

Ikegami, Tetsushi ^{[1
]}

机构：

[1] Meiji Univ, Grad Sch Sci & Technol, Elect Engn Program, 1-1-1 Higashi Mita,Tama Ku, Kawasaki, Kanagawa 2148571, Japan

来源：

2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL | 2023年

关键词：

mmWave; 3D MIMO-OFDM; channel estimation; Beamspace ESPRIT; HOSVD; tensor signal processing;

D O I：

10.1109/VTC2023-Fall60731.2023.10333566

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we focus on channel estimation for a millimeter-wave (mmWave) MIMO-OFDM systems. In previous studies, channel estimation by angles of arrival (AoAs), angles of departure (AoDs), and delays estimated by the Beamspace Unitary Tensor ESPRIT is proposed. However, this study evaluated channel estimation using a model with uniform linear arrays (ULA) at the transmitter and receiver, and taking into account the form factor limitation, it is desirable to evaluate and study the channel estimation in 3D MIMO with antenna arrays arranged in two dimensions. Therefore, we evaluated and studied channel estimation using the Beamspace Unitary Tensor ESPRIT, assuming a mmWave 3D MIMO-OFDM system with uniform rectangular arrays (URA) on the transmitter and receiver. The simulation results show high channel estimation accuracy of the presented algorithm.

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页数：5

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