电子学报 ›› 2018, Vol. 46 ›› Issue (11): 2746-2752.DOI: 10.3969/j.issn.0372-2112.2018.11.023

• 学术论文 • 上一篇    下一篇

基于Kaczmarz迭代的大规模MIMO系统低复杂度软输出信号检测

申滨1, 赵书锋1, 黄龙杨2   

  1. 1. 重庆邮电大学, 重庆 400065;
    2. 中国民用航空飞行学院, 四川德阳 618300
  • 收稿日期:2017-12-26 修回日期:2018-06-04 出版日期:2018-11-25 发布日期:2018-11-25
  • 作者简介:申滨 男,1978年出生,博士,重庆邮电大学教授,主要研究方向为LTE、5G系统和认知无线电等.E-mail:shenbin@cqupt.edu.cn;赵书锋 男,1991年出生,重庆邮电大学硕士生,主要研究方向为LTE系统、大规模MIMO系统等.E-mail:zhaoshuf@foxmail.com
  • 基金资助:
    国家科技重大专项基金(No.2016ZX03001010-004)

Low-Complexity Soft-Output Signal Detection Based on Kaczmarz Method for Uplink Massive MIMO Systems

SHEN Bin1, ZHAO Shu-feng1, HUANG Long-yang2   

  1. 1. Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Civil Aviation Flight University of China, Deyang, Sichuan 618300, China
  • Received:2017-12-26 Revised:2018-06-04 Online:2018-11-25 Published:2018-11-25

摘要: 大规模MIMO系统上行链路中,最小均方误差(MMSE)算法能获得接近最优的线性检测性能,但是涉及复杂度较高的矩阵求逆运算.本文基于Kaczmarz迭代提出一种低复杂度软输出信号检测算法,在算法实现中避免了矩阵求逆运算,将实现复杂度由OK3)降为OK2).同时,引入了最优松弛参数进一步加快算法收敛,最后给出了两种用于信道译码的LLR的近似计算方法.仿真结果表明:所提出的Kaczmarz迭代软输出信号检测算法经过两到三次简单的迭代即可较快地收敛,并达到接近MMSE检测算法的误码率性能的水平,其性能与复杂度均优于基于矩阵近似求逆的一类检测算法.

关键词: 大规模MIMO, 低复杂度, Kaczmarz迭代, 松弛参数, 软输出

Abstract: For massive MIMO system uplink,conventional minimum mean square error (MMSE) linear detection algorithm can achieve nearly optimal performance,but it involves complicated matrix inversion.A low-complexity detection algorithm based on Kaczmarz method is proposed in this paper,which can circumvent the matrix inverse operation and hence reduce the complexity from O (K3) to O (K2).Meanwhile,an optimal relaxation parameter is introduced to further accelerate the algorithm convergence,and two approximate methods of log-likelihood ratios (LLR) estimation for channel decoding are given as well.Simulation results verify that the proposed algorithm outperforms the Neumann series expansion algorithms on both bit error ratio (BER) and computational complexity.It converges rapidly and achieves its performance quite close to that of the MMSE algorithm with only a small number of iterations.

Key words: massive MIMO, low-complicity, Kaczmarz, relaxation parameter, soft decision

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