宽带毫米波大规模MIMO系统中低复杂度波束域信道估计

doi:10.11959/j.issn.1000-0801.2020183

电信科学 ›› 2020, Vol. 36 ›› Issue (8): 122-129.doi: 10.11959/j.issn.1000-0801.2020183

宽带毫米波大规模MIMO系统中低复杂度波束域信道估计

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:2020-03-09 出版日期:2020-08-20 发布日期:2020-08-26
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)

Low-complexity beamspace channel estimation for wideband millimeter-wave massive MIMO system

Jiafeng QIU

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

Revised:2020-03-09 Online:2020-08-20 Published:2020-08-26
Supported by:
The Natural Science Foundation of Zhejiang Province of China(LY12F01008)

摘要/Abstract

摘要：

针对宽带毫米波大规模MIMO系统信道估计精度低及实现复杂度较高的问题，在传统支撑检测方案的基础上提出一种基于Gauss-Seidel方法的串行支撑检测（GS-SSD）方案。该方案不使用共同支撑假设，参考串行干扰删除，将整体信道估计问题分解为一系列子问题，每个子问题仅考虑一个信道成分。同时，利用Gauss-Seidel方法近似高复杂度的矩阵求逆。仿真结果表明，相比于基于串行支撑检测（SSD）的方案， GS-SSD方案在将求逆复乘数降低一个数量级的同时可以取得接近SSD方案的信道估计性能。

关键词: 宽带毫米波通信, 支撑检测, 低复杂度, 波束域信道估计, Gauss-Seidel

Abstract:

Focused on the issue in which the problem of low precision of channel estimation and high implementation complexity in wideband millimeter-wave(mmWave) MIMO with lens antenna array system,a successive support detection(GS-SSD) algorithm based on Gauss-Seidel method was proposed in the traditional support detection scheme.In this algorithm,the assumption of common support was not used,and inspired by the successive interference cancellation.This algorithm decomposed the total channel estimation problem into several channel component.In the meanwhile,the Gauss-Seidel method was used to approximate the matrix inversion with high complexity.Simulations were provided to show that the proposed GS-SSD algorithm could significantly reduce the complex multiplication and achieved high performance compared with successive support detection algorithm.

Key words: wideband millimeter-wave communication, support detection, low complexity, beamspace channel estimation, Gauss-Seidel

中图分类号:

TN911.22

邱佳锋. 宽带毫米波大规模MIMO系统中低复杂度波束域信道估计[J]. 电信科学, 2020, 36(8): 122-129.

Jiafeng QIU. Low-complexity beamspace channel estimation for wideband millimeter-wave massive MIMO system[J]. Telecommunications Science, 2020, 36(8): 122-129.

图/表 5

表1

基于SSD方案和基于GS-SSD方案的复杂度对比"

对比项	SSD方案复杂度	GS-SSD方案复杂度
步骤（8）	$O (N_{R F} Q {(2 Ω + 1)}^{2})$	O(MLN_RFIQ(2Ω+1))
步骤（11）	$O (N_{R F} Q {(2 Ω + 1)}^{2})$	O(MN_RFQIL(2Ω+1))
总体	$O (N M L) + O (M N_{R F} Q L {(2 Ω + 1)}^{2}) + O (M N_{R F} Q L^{2} {(2 Ω + 1)}^{2})$	O(NML)+O(MN_RFQIL(2Ω+1))+O(MN_RFQIL(2Ω+1))

表1

表2

图1

图2

图3

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参数	取值
透镜天线阵列阵元数	N=256
射频链路数	N_RF=8
单天线用户数	K= 8
载波频率	f_c=28 GHz
子载波数	M =512
带宽	f_s=4 GHz
有效路径数	L= 3
路径复增益	β_l~CN(0,1)
物理方向	θ _l~U(-π/2,π/2)
路径时延	τ_l~U(0,20 ms)

宽带毫米波大规模MIMO系统中低复杂度波束域信道估计

Low-complexity beamspace channel estimation for wideband millimeter-wave massive MIMO system

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