基于优化BM3D的毫米波大规模MIMO信道估计

doi:10.11959/j.issn.1000-0801.2020136

Abstract

Abstract:

Focused on the issue in which beamspace channel estimation is challenging for mmWave massive MIMO system when the number of RF chains is limited,a channel estimation scheme based on optimized BM3D was proposed.The MIMO channel matrix based on 3D lens-based can be regarded as a 2D natural image,and the image reconstruction technology was integrated into the channel estimation.BM3D was considered as one of the most accurate algorithms for image denoising ,while the grouping was realized by block-matching and collaborative filtering was accomplished by shrinkage in a 3D transform domain.Utilizing the sparsity feature of the channel and the clustering feature of the paths,the BM3D algorithm was optimized in order to improve the performance.Simulations are provided to show that proposed optimized BM3D scheme can achieve satisfactory accuracy in all considered SNR regions.

Key words: millimeter-wave communications, BM3D, massive MIMO, beamspace channel estimation, 3D lens antenna array

CLC Number:

TN911.22

Jiafeng QIU. Optimized BM3D for mmWave massive MIMO channel estimation[J]. Telecommunications Science, 2020, 36(9): 44-50.

Figures/Tables 5

参数		BM3D标准配置的参数		OBM3D的参数
参数		σ≤40	σ>40	σ
用于步骤1硬阈值(ht)的参数	滑动步长 $N_{s t e p}^{h t}$	3	4	2
	Kaiser窗参数β^ht	2.0	2.0	2.5
	三维变换域阈值λ_3D	2.7	2.8	2.25
用于步骤2维纳滤波（wie）的参数	滑动步长 $N_{s t e p}^{w i e}$	3	6	2
	Kaiser窗参数β^wie	2.0	2.0	1.5

参数	数值
射频链路K	410
路径数P	4
信道矩阵宽度M	64
信道矩阵长度N	64
等效透镜长度D_y	12
等效透镜高度D_z	12
透镜孔径a	20
采样率 $δ = \frac{K}{M N}$	0.1
水平方向到达角φ	U (-π/2,π/2)
垂直方向到达角θ	U (-π/2,π/2)

References 14

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Optimized BM3D for mmWave massive MIMO channel estimation

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