Low complexity signal detection algorithm based on Newton iterative algorithm

Gang LIU; Zengjin LOU; Qinhua LIN; Yi GUO

doi:10.11959/j.issn.1000-436x.2022035

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Low complexity signal detection algorithm based on Newton iterative algorithm

Papers | 更新时间：2024-06-05

- Low complexity signal detection algorithm based on Newton iterative algorithm
- Journal on Communications Vol. 43, Issue 2, Pages: 109-117(2022)
- 作者机构：
  
  西安电子科技大学综合业务网国家重点实验室，陕西西安 710071
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62171354);The National Natural Science Foundation of China(61871387);The National Natural Science Foundation of China(61861041);The National Natural Science Foundation of China(61871471)
- DOI：10.11959/j.issn.1000-436x.2022035
  CLC： TN929.5
- Online First：2022-02，
  
  Published：25 February 2022
- 稿件说明：
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Gang LIU, Zengjin LOU, Qinhua LIN, et al. Low complexity signal detection algorithm based on Newton iterative algorithm[J]. Journal on Communications, 2022, 43(2): 109-117.
DOI：

Gang LIU, Zengjin LOU, Qinhua LIN, et al. Low complexity signal detection algorithm based on Newton iterative algorithm[J]. Journal on Communications, 2022, 43(2): 109-117. DOI： 10.11959/j.issn.1000-436x.2022035.

摘要

为了解决太赫兹通信系统超大规模MIMO检测计算复杂度高、收敛速度慢等问题，提出了基于Newton迭代算法的低复杂度信号检测算法。通过在Newton迭代算法中改进初始矩阵、加入步长因子，降低计算复杂度、提高收敛速度；通过加入调节因子，保证算法的稳定性、可靠性和场景适用性。仿真结果表明，相比传统算法，所提算法具有更低的计算复杂度和更快的收敛速度。当迭代次数为3次时，即可逼近MMSE算法性能。

Abstract

In order to solve the problems of high computational complexity and slow convergence rate of ultra-massive MIMO detection in terahertz communication system

the low complexity signal detection algorithm based on Newton iterative algorithm was proposed.By improving the initial matrix and adding step factor in Newton iteration algorithm

the complexity of the algorithm was reduced

and the convergence speed was increased.By adding adjusting factors

the stability and reliability of the algorithm were guaranteed

and the applicability of the algorithm was also increased.Simulation results show that the proposed algorithm have lower computational complexity and faster convergence speed compared with traditional schemes.When the number of iterations is three

the detection performance is close to MMSE algorithm.

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references

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