基于Kapteyn级数展开的低复杂度大规模MIMO信道估计

王兵; 李正权; 燕锋; 沈连丰

doi:10.11959/j.issn.1000-0801.2016324

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基于Kapteyn级数展开的低复杂度大规模MIMO信道估计

研究与开发 | 更新时间：2024-06-05

- 基于Kapteyn级数展开的低复杂度大规模MIMO信道估计
- Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion
- 电信科学 2016年32卷第12期页码：75-79
- 作者机构：
  
  1. 东南大学信息科学与工程学院，江苏南京 210096
  2. 北京邮电大学网络与交换技术国家重点实验室，北京 100876
- 作者简介：
  
  [ "王兵（1991-），男，东南大学信息科学与工程学院硕士生，主要研究方向为MIMO技术和短距离无线通信。" ]
  [ "李正权（1976-），男，博士，东南大学移动通信国家重点实验室教授，主要研究方向为MIMO 技术、空时编码和协作通信。" ]
  [ "燕锋（1983-），男，博士，东南大学副研究员，主要研究方向为无线传感器网络、异构网络等。" ]
  [ "沈连丰（1952-），男，东南大学教授、博士生导师，主要研究方向为宽带移动通信、短距离无线通信和泛在网络等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61571108);国家自然科学基金资助项目;The National Natural Science Foundation of China(61471164);东南大学移动通信国家重点实验室自主研究基金资助项目;The Research Fund of National Mobile Communications Research Laboratory Southeast University(2016B02);网络与交换技术国家重点实验室（北京邮电大学）开放课题基金资助项目;Open Foundation of State Key Laboratory of Networking and Switching Technology（Beijing University of Posts and Telecommunications）(SKLNST-2016-2-14)
- DOI：10.11959/j.issn.1000-0801.2016324
  中图分类号： TN911
- 网络出版日期：2016-12，
  
  纸质出版日期：2016-12-20
- 稿件说明：
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王兵, 李正权, 燕锋, 等. 基于Kapteyn级数展开的低复杂度大规模MIMO信道估计[J]. 电信科学, 2016,32(12):75-79.

Bing WANG, Zhengquan LI, Feng YAN, et al. Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion[J]. Telecommunications science, 2016, 32(12): 75-79.
王兵, 李正权, 燕锋, 等. 基于Kapteyn级数展开的低复杂度大规模MIMO信道估计[J]. 电信科学, 2016,32(12):75-79. DOI： 10.11959/j.issn.1000-0801.2016324.

Bing WANG, Zhengquan LI, Feng YAN, et al. Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion[J]. Telecommunications science, 2016, 32(12): 75-79. DOI： 10.11959/j.issn.1000-0801.2016324.

摘要

为降低大规模MIMO 信道估计的复杂度，提出一种基于Kapteyn 级数展开的信道估计方法。通过Taylor级数把协方差逆矩阵展开，从而降低信道估计的复杂度。为提高Taylor-MMSE估计的收敛速度，采用Kapteyn级数对协方差矩阵进行展开。仿真结果表明，Kapteyn-MMSE估计的均方误差（MSE）收敛速度明显快于Taylor-MMSE，不足的是Kapteyn-MMSE复杂度略高于Taylor-MSME，但仍远小于经典MMSE算法。

Abstract

In order to reduce the complexity of the massive MIMO channel estimation

a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion

the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence rate

Kapteyn series was used to expand covariance matrix. The simulation result shows that the mean square error of Kapteyn-MMSE estimation converges faster than Taylor-MSME. It is insufficient that the complexity of Kapteyn-MMSE slightly higher than the complexity of Taylor-MMSE

but still far less than the complexity of classical MMSE algorithm.

关键词

Keywords

references

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