Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion

Bing WANG; Zhengquan LI; Feng YAN; Lianfeng SHEN

doi:10.11959/j.issn.1000-0801.2016324

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Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion

research and development | 更新时间：2024-06-05

- Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion
- Telecommunications Science Vol. 32, Issue 12, Pages: 75-79(2016)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016324
  CLC： TN911
- Published Online：2016-12，
  
  Published：20 December 2016
- 稿件说明：
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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：

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.

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references

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