• Laser & Optoelectronics Progress
  • Vol. 59, Issue 5, 0506002 (2022)
Jingze Huang1、2, Xuwen Liang1, and Zhuochen Xie1、*
Author Affiliations
  • 1Innovation Academy for Microsatelite, Chinese Academy of Sciences, Shanghai , 201203, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/LOP202259.0506002 Cite this Article Set citation alerts
    Jingze Huang, Xuwen Liang, Zhuochen Xie. Hybrid Beamforming Based Millimeter Wave Massive MIMO Channel Estimation[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0506002 Copy Citation Text show less

    Abstract

    The millimeter wave massive multiple input multiple output(MIMO) system relies on accurate channel state information. However, the high frequency of the millimeter wave shortens the time slot for channel estimation, so the previous high complexity estimation algorithms that use either the sparsity in the beam domain or the low rank property in the antenna domain alone were no longer feasible. Therefore, this paper proposes a new estimation algorithm, which combines the sparsity and low rank property. The channel estimation is regarded as a matrix complete problem. The inexact Newton method based on Augmented Lagrange alternating direction is used to solve the problem. The simulation result shows that the proposed algorithm has faster convergence speed and higher accuracy than other algorithms.
    Jingze Huang, Xuwen Liang, Zhuochen Xie. Hybrid Beamforming Based Millimeter Wave Massive MIMO Channel Estimation[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0506002
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