A Full-Dimension Channel Estimator for mmWave/THz MIMO Using Weighted Atomic Norm Minimization

被引：1

作者：

Chu, Hongyun ^{[1
]}

Xu, Yicheng ^{[2
]}

Wu, Guilu ^{[2
,3
]}

机构：

[1] Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China

[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[3] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Jiangsu, Peoples R China

来源：

2020 IEEE GLOBECOM WORKSHOPS (GC WKSHPS) | 2020年

关键词：

MASSIVE MIMO; SUPERRESOLUTION; TRACKING;

D O I：

10.1109/GCWkshps50303.2020.9367438

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：

Due to the high path loss of millimeterwave/terahertz (mmWave/THz) frequency wave propagation, it necessitates fine-grained beamforming with super-large antenna arrays to compensate for transmission gains, which is naturally attributed to accurate channel state information. In this paper, a super-resolution channel estimation method is proposed for the full-dimension (FD) mmWave/THz communication system, where both the base station (BS) and the receiver pack uniform planar arrays (UPAs). Benefiting from the strong line-of-sight property of the mmWave/THz channels, the angular block prior is taken into account by the proposed channel estimators to improve the estimation accuracy and/or reduce the training overhead. The off-grid FD channel estimation problem is formulated based on weighted atomic norm minimization, which enhances the inherent sparsity in the continuous elevation-and-azimuth angular block domains. Simulation results show that the proposed methods can achieve considerable performance gains, as compared with existing both on-grid and off-grid approaches.

引用

页数：6