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基于扩展路径识别算法的水声OFDM系统低复杂度迭代稀疏信道估计

赵世铎 鄢社锋

赵世铎, 鄢社锋. 基于扩展路径识别算法的水声OFDM系统低复杂度迭代稀疏信道估计[J]. 电子与信息学报, 2021, 43(3): 752-757. doi: 10.11999/JEIT200582
引用本文: 赵世铎, 鄢社锋. 基于扩展路径识别算法的水声OFDM系统低复杂度迭代稀疏信道估计[J]. 电子与信息学报, 2021, 43(3): 752-757. doi: 10.11999/JEIT200582
Shiduo ZHAO, Shefeng YAN. Low-complexity Iterative Sparse Channel Estimation for Underwater Acoustic OFDM Systems Based on Generalized Path Identification Algorithm[J]. Journal of Electronics and Information Technology, 2021, 43(3): 752-757. doi: 10.11999/JEIT200582
Citation: Shiduo ZHAO, Shefeng YAN. Low-complexity Iterative Sparse Channel Estimation for Underwater Acoustic OFDM Systems Based on Generalized Path Identification Algorithm[J]. Journal of Electronics and Information Technology, 2021, 43(3): 752-757. doi: 10.11999/JEIT200582

基于扩展路径识别算法的水声OFDM系统低复杂度迭代稀疏信道估计

doi: 10.11999/JEIT200582
基金项目: 国家自然科学基金(61725106)
详细信息
    作者简介:

    赵世铎:男,1994年生,博士生,研究方向为OFDM水声通信技术

    鄢社锋:男,1978年生,教授,博士生导师,研究方向为阵列信号处理、水声通信等

    通讯作者:

    鄢社锋 sfyan@ieee.org

  • 中图分类号: TN929.3

Low-complexity Iterative Sparse Channel Estimation for Underwater Acoustic OFDM Systems Based on Generalized Path Identification Algorithm

Funds: The National Natural Science Foundation of China (61725106)
  • 摘要: 移动OFDM水声通信系统中,基于压缩感知的稀疏信道估计方法计算量较大,不适用于实时通信。针对这一问题,该文基于一致多普勒信道模型提出一种扩展路径识别(GPI)算法。该方法首先使用信道多普勒扩展矩阵构造等效发射序列,将多普勒信道转化为等效线性时不变信道。然后使用GPI算法估计信道多普勒及各路径的时延及幅度参数,实现低复杂度稀疏信道估计。此外,该文将GPI算法扩展到Turbo接收机中,通过利用信道译码器反馈的数据符号先验信息迭代提高信道估计精度。仿真结果表明,所提方法的性能优于传统的路径识别算法,且与OMP算法接近,而其计算量远低于后者。
  • 图  1  基于GPI算法的Turbo接收机流程图

    图  2  ${b_{\max }} = 1.5 \times {10^{ - 4}}$时GPI算法的残余多普勒估计MSE与信噪比关系

    图  3  ${b_{\max }} = 1.5 \times {10^{ - 4}}$时各信道估计算法的误码率与信噪比关系

    图  4  ${\rm{SNR}} = 8$ dB时各信道估计算法的误码率与${b_{\max }}$(×10–4)关系

    图  5  GPI和OMP信道估计的CPU运行时间比较

    表  1  OFDM水声通信系统仿真参数

    参数符号
    最低子载波频率${f_0}$9 kHz
    带宽$B$6 kHz
    子载波数$K$1024
    OFDM符号周期$T$170.65 ms
    子载波间隔$\Delta f$5.86 Hz
    ZP长度${T_{{\rm{ZP}}}}$15 ms
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-07-15
  • 修回日期:  2020-12-04
  • 网络出版日期:  2020-12-30
  • 刊出日期:  2021-03-22

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