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

电信科学 ›› 2020, Vol. 36 ›› Issue (9): 44-50.doi: 10.11959/j.issn.1000-0801.2020136

基于优化BM3D的毫米波大规模MIMO信道估计

邱佳锋

杭州电子科技大学通信工程学院，浙江杭州 310018

修回日期:2020-04-17 出版日期:2020-09-20 发布日期:2020-09-27
作者简介:邱佳锋（1995- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为毫米波大规模MIMO系统信道估计
基金资助:
浙江省自然科学基金资助项目(LY12F01008)

Optimized BM3D for mmWave massive MIMO channel estimation

Jiafeng QIU

School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018，China

Revised:2020-04-17 Online:2020-09-20 Published:2020-09-27
Supported by:
The Natural Science Foundation of Zhejiang Province of China(LY12F01008)

摘要/Abstract

摘要：

针对毫米波大规模多入多出系统在射频链路数量有限时，波束域信道估计是一个有挑战性的问题，提出一种基于优化BM3D的信道估计方案。利用基于三维透镜的多入多出系统信道矩阵可被视为二维自然图像的结构特性，将图像重构技术融入信道估计。BM3D 是目前最精确的图像去噪算法之一，通过块匹配实现分组，利用三维变换域的收缩完成协同滤波。考虑信道的稀疏特性和路径的聚类特性，对BM3D算法进一步优化以提高性能。仿真结果表明，提出的优化BM3D方案在所有考虑的信噪比区域均能取得令人满意的信道估计精度。

关键词: 毫米波通信, BM3D, 大规模多入多出, 波束域信道估计, 三维透镜天线阵列

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

中图分类号:

TN911.22

邱佳锋. 基于优化BM3D的毫米波大规模MIMO信道估计[J]. 电信科学, 2020, 36(9): 44-50.

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

图/表 5

表1

OBM3D对BM3D的参数修改"

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

表1

表2

仿真系统参数设置"

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)

表2

图1

图2

图3

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基于优化BM3D的毫米波大规模MIMO信道估计

Optimized BM3D for mmWave massive MIMO channel estimation

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