大规模MIMO系统低复杂度混合迭代信号检测

赵书锋; 申滨; 杨芙蓉

doi:10.11959/j.issn.1000−0801.2017186

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大规模MIMO系统低复杂度混合迭代信号检测

研究与开发 | 更新时间：2024-06-05

- 大规模MIMO系统低复杂度混合迭代信号检测
- Low complexity hybrid iterative algorithm based signal detection in massive MIMO system
- 电信科学 2017年33卷第7期页码：39-46
- 作者机构：
  
  1. 重庆邮电大学移动通信重点实验室，重庆 400065
  2. 四川省通信科研规划设计有限责任公司，四川成都 610041
- 作者简介：
  
  [ "赵书锋（1991−），男，重庆邮电大学移动通信重点实验室硕士生，主要研究方向为LTE-Hi系统、大规模MIMO系统等。" ]
  [ "申滨（1978−），男，博士，重庆邮电大学移动通信重点实验室教授，主要研究方向为LTE、5G系统和认知无线电等。" ]
  [ "杨芙蓉（1978−），女，四川省通信科研规划设计有限责任公司高级工程师，主要研究方向为移动通信系统信号处理等。" ]
- 基金信息：
  
  5G高速无缝接入技术方案与试验系统研发项目;National Science and Technology Specific Project of China(2016ZX03001010-004)
- DOI：10.11959/j.issn.1000−0801.2017186
  中图分类号： TN929.5
- 网络出版日期：2017-07，
  
  纸质出版日期：2017-07-20
- 稿件说明：
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赵书锋, 申滨, 杨芙蓉. 大规模MIMO系统低复杂度混合迭代信号检测[J]. 电信科学, 2017,33(7):39-46.

Shufeng ZHAO, Bin SHEN, Furong YANG. Low complexity hybrid iterative algorithm based signal detection in massive MIMO system[J]. Telecommunications science, 2017, 33(7): 39-46.
赵书锋, 申滨, 杨芙蓉. 大规模MIMO系统低复杂度混合迭代信号检测[J]. 电信科学, 2017,33(7):39-46. DOI： 10.11959/j.issn.1000−0801.2017186.

Shufeng ZHAO, Bin SHEN, Furong YANG. Low complexity hybrid iterative algorithm based signal detection in massive MIMO system[J]. Telecommunications science, 2017, 33(7): 39-46. DOI： 10.11959/j.issn.1000−0801.2017186.

摘要

在大规模MIMO系统上行链路信号检测算法中，最小均方误差（MMSE）算法能获得接近最优的线性检测性能。但是，传统的MMSE检测算法涉及高维矩阵求逆运算，由于复杂度过高而使其在实际应用中难以快速有效地实现。基于最速下降（steepest descent，SD）算法和高斯—赛德尔（Gauss-Seidel，GS）迭代的方法提出了一种低复杂度的混合迭代算法，利用SD算法为复杂度相对较低的GS迭代算法提供有效的搜索方向，以加快算法收敛的速度。同时，给出了一种用于信道译码的比特似然比（LLR）近似计算方法。仿真结果表明，通过几次迭代，给出的算法能够快速收敛并接近MMSE检测性能，并将算法复杂度降低一个数量级，保持在O(K

)。

Abstract

Among the uplink signal detection algorithms for massive MIMO systems

the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However

conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix

which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration

a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile

an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify

that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile

the complexity is reduced by an order of magnitude

which is kept consistently of O(K

关键词

Keywords

references

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