大规模MIMO-TRDMA系统中的改进SOR信号检测算法

王明月; 李方伟; 景小荣; 张海波; 熊军洲

doi:10.11959/j.issn.1000-436x.2021205

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大规模MIMO-TRDMA系统中的改进SOR信号检测算法

学术论文 | 更新时间：2024-06-05

- 大规模MIMO-TRDMA系统中的改进SOR信号检测算法
- Improved SOR signal detection algorithm in massive MIMO-TRDMA systems
- 通信学报 2021年42卷第10期页码：153-161
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 移动通信教育部工程研究中心，重庆 400065
- 作者简介：
  
  [ "王明月（1990- ），女，重庆人，重庆邮电大学博士生，主要研究方向为MIMO技术和时间反演技术" ]
  [ "李方伟（1960- ），男，重庆人，博士，重庆邮电大学教授，主要研究方向为无线通信技术和移动通信安全传输技术" ]
  [ "景小荣（1974- ），男，甘肃平凉人，博士，重庆邮电大学教授，主要研究方向为无线通信系统中的信号处理技术" ]
  [ "张海波（1979- ），男，重庆人，博士，重庆邮电大学副教授，主要研究方向为车联网中的关键传输技术" ]
  [ "熊军洲（1985- ），男，湖北武汉人，重庆邮电大学博士生，主要研究方向为时间反演技术和移动通信安全传输技术" ]
- 基金信息：
  
  国家自然科学基金资助项目(61771084);重庆市教委科学技术基金资助项目(KJQN201800834);重庆市研究生科研创新基金资助项目(CYB21200)
- DOI：10.11959/j.issn.1000-436x.2021205
  中图分类号： TN92
- 网络首发：2021-10，
  
  纸质出版：2021-10-25
- 稿件说明：
移动端阅览
王明月, 李方伟, 景小荣, 等. 大规模MIMO-TRDMA系统中的改进SOR信号检测算法[J]. 通信学报, 2021,42(10):153-161.

Mingyue WANG, Fangwei LI, Xiaorong JING, et al. Improved SOR signal detection algorithm in massive MIMO-TRDMA systems[J]. Journal on Communications, 2021, 42(10): 153-161.
王明月, 李方伟, 景小荣, 等. 大规模MIMO-TRDMA系统中的改进SOR信号检测算法[J]. 通信学报, 2021,42(10):153-161. DOI： 10.11959/j.issn.1000-436x.2021205.

Mingyue WANG, Fangwei LI, Xiaorong JING, et al. Improved SOR signal detection algorithm in massive MIMO-TRDMA systems[J]. Journal on Communications, 2021, 42(10): 153-161. DOI： 10.11959/j.issn.1000-436x.2021205.

摘要

在大规模多输入多输出时间反演多址（MIMO-TRDMA

multiple-input multiple-output time-reversal division multiple access）系统中，传统的线性最小均方误差（MMSE

minimum mean square error）算法可获得近似最佳的检测性能。但是，MMSE检测算法所需的矩阵求逆计算复杂度过高，无法确保信号检测的实时处理。针对这一问题，提出一种改进的连续超松弛（SOR

successive over-relaxation）信号检测算法。所提算法通过更新求解线性方程组，避免复杂的矩阵求逆计算；同时，采用最陡下降的思想提高 SOR 更新的搜索效率，以加快收敛速度和提高检测性能。仿真结果表明，所提算法能以较少的更新次数获得与传统 MMSE 算法相当的近似最佳性能，而计算复杂度数量级从O(M

)降低到O(M

)。

Abstract

In the massive multi-input multi-output time-reversal division multiple access (MIMO-TRDMA) systems

the traditional linear minimum mean square error (MMSE) algorithm achieved approximately the best performance.However

the matrix inversion of the MMSE algorithm was too complicated to ensure real-time processing of signal detection.To solve this problem

an improved successive over-relaxation (SOR) signal detection optimization algorithm was proposed.The proposed algorithm reasonably upgraded the solution of linear equations to prevent the complicated calculation of matrix inversion.Meanwhile

the steepest descent idea was used to provide an effective search direction for the SOR signal detection algo

rithm

achieving a rapid convergence rate and stronger inspection performance.The simulation results show that the proposed algorithm has the similar best performance with fewer update times compared with the traditional MMSE algorithm

and the calculation complexity is reduced from O(M

)to O(

关键词

Keywords

references

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