Off-Grid Channel Estimation for OTFS-Based mmWave Hybrid Beamforming Systems

被引：3
作者：
Yan, Yipai [1 ]
Shan, Chengzhao [1 ]
Zhang, Jiayan [1 ]
Zhao, Honglin [1 ]
机构：
[1] Harbin Inst Technol, Commun Res Ctr, Harbin 150001, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 08期
关键词：
OTFS; mmWave; hybrid beamforming; off-grid; high mobility; LOW-COMPLEXITY; INTERFERENCE CANCELLATION;
D O I：
10.1109/LCOMM.2023.3290035
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The combination of orthogonal-time-frequency-space (OTFS) modulation and millimeter wave (mmWave) hybrid beamforming can improve communication performance in air-to-ground high mobility systems. This letter studies a cross-domain channel estimation scheme in OTFS-based mmWave hybrid beamforming systems with off-grid parameters. First, time-domain and delay-Doppler domain signal models are established. Then, channel estimation problems are decomposed into two parallel sparse recovery problems. Finally, a sparse Bayesian learning-based block expectation-maximization algorithm is proposed to obtain the off-grid parameters. Simulation results show the preferable and robust performance of the proposed algorithm compared with existing channel estimation algorithms.
引用
收藏
页码：2167 / 2171
页数：5
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