通信学报 ›› 2011, Vol. 32 ›› Issue (3): 33-39.doi: 1000-436X(2011)03-0033-07

• 学术论文 • 上一篇    下一篇

基于卷积码的DFT-S-GMC系统迭代检测算法

芮赟1,3,唐斯亮4,李明齐1,2,罗银辉5   

  1. 1 中国科学院 上海微系统与信息技术研究所，上海 200050
    2 西南交通大学 信息编码与传输四川省重点实验室，四川 成都 610000
    3 西安电子科技大学 综合业务网理论及关键技术国家重点实验室，陕西 西安 710071
    4 总参通信部驻上海地区军事代表室，上海 200082
    5 上海交通大学 电子信息与工程学院，上海 200240
  • 出版日期:2011-03-25 发布日期:2017-07-04
  • 基金资助:
    国家科技重大专项基金资助项目;西南交通大学信息编码与传输重点实验室开放课题基金资助项目;综合业务网理论及关键技术国家重点实验室开放课题基金资助项目;上海市自然基金资助项目

Convolutional coding based iterative detection algorithm for DFT-S-GMC systems

Yun RUI1,3,Si-liang TANG4,Ming-qi LI1,2,Yin-hui LUO5   

  1. 1 Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China
    2 Key Laboratory of Information Coding and Transmission,Southwest Jiaotong University,Chengdu 610000,China
    3 The State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China
    4 Shanghai Military Deputy Office Communication Department General Staff,Shanghai 200082,China
    5 School of Electronic,Information and Electrical Engineering Shanghai Jiaotong University,Shanghai 200240,China
  • Online:2011-03-25 Published:2017-07-04
  • Supported by:
    The National Science and Technology Major Project of the Ministry of Science and Technology of China;The Open Project of Key Laboratory in Southwest Univers;The Open Research Fund of the State Key Laboratory of Integrated Services Networks,Xidian University;The Natural Science Foundation of Shanghai

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摘要：

针对基于离散傅立叶变换扩频的广义多载波系统（DFT-S-GMC），提出一种新的迭代检测方法。该方法基于 DFT-S-GMC 系统的频域收发结构，并根据线性最小均方误差 (LMMSE)检测所得发送符号的后验均值和方差来表征其统计概率分布，从而完成检测器和译码器的信息传递。仿真结果表明，所提出迭代检测接收算法的性能明显优于传统的非迭代检测接收算法，并且在卷积码下的迭代检测性能超过了Turbo码下的非迭代检测性能，而其实现复杂度则有较大降低。

关键词: DFT-S-GMC, 迭代检测, 高斯分布, MMSE

Abstract:

A new iterative detection method for discrete Fourier transform spread generalized multi-carrier (DFT-S-GMC) system was proposed.Based on the frequency-domain transceiver structure of DFT-S-GMC system,the linear minimum mean-square error (LMMSE) estimation was performed,which was characterized by the posterior mean and variance.Then,the log likelihood ratio (LLR) information is transferred between detector and decoder according to the probability density function(PDF) of the transmitted symbols.Simulation results show that based on the convolutional decoder,the performance of proposed iterative receiver is much better than the traditional,no-iterative receiver.Moreover,it outperforms the no-iterative receiver based on the Turbo decoder,while its complexity is greatly reduced.

Key words: DFT-S-GMC, iterative detection, Gaussian distribution, MMSE

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