An enhanced beamspace channel estimation algorithm for wideband millimeter-wave massive MIMO systems

EURASIP Journal on Advances in Signal Processing

Research

Yang Liu¹  Yinghui Zhang¹  Ding Han¹  Kaipeng Song¹  Yi Luo¹  Minglu Jin² 

[1] College of Electronic Information Engineering, Inner Mongolia University, 010021, Hohhot, China;Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, 116024, Dalian, China;

关键词: Millimeter wave;    Massive MIMO;    Wideband channel estimation;    Lens antenna array;    Beam squint effect;   

DOI  :  10.1186/s13634-022-00949-1

 received in 2022-08-10, accepted in 2022-11-14,  发布年份 2022

来源: Springer

【 摘 要 】

Accurate beamspace channel estimation is critical in wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communication systems. However, the beam squint effect caused by the increase in bandwidth and array dimension can bring additional challenges to the wideband channel estimation. In this study, we propose a wideband channel estimation scheme based on compressed sensing to solve the beam squint effect in broadband mmWave massive MIMO systems. First, the channel estimation problem is transformed into a beamspace direction estimation problem by exploiting the special frequency-dependent sparse structure of a broadband beamspace channel. Then, we propose a beam-band function-based orthogonal matching pursuit algorithm, in which a beam-band function is constructed and used to capture the power of each path component to estimate the spatial direction. In addition, the support of each path component at different sub-carriers is estimated to reduce the influence of the beam squint effect. Moreover, the support is estimated adaptively to improve the estimation accuracy further. Simulation results demonstrate that the proposed scheme reduces the pilot overhead under the beam squint effect and improve the estimation accuracy significantly.

【 授权许可】

CC BY   
© The Author(s) 2022

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