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一种改进的水声正交频分复用稀疏信道时延估计算法

强夕竹 乔钢 周锋

强夕竹, 乔钢, 周锋. 一种改进的水声正交频分复用稀疏信道时延估计算法[J]. 电子与信息学报, 2021, 43(3): 817-825. doi: 10.11999/JEIT200660
引用本文: 强夕竹, 乔钢, 周锋. 一种改进的水声正交频分复用稀疏信道时延估计算法[J]. 电子与信息学报, 2021, 43(3): 817-825. doi: 10.11999/JEIT200660
Xizhu QIANG, Gang QIAO, Feng ZHOU. An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel[J]. Journal of Electronics & Information Technology, 2021, 43(3): 817-825. doi: 10.11999/JEIT200660
Citation: Xizhu QIANG, Gang QIAO, Feng ZHOU. An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel[J]. Journal of Electronics & Information Technology, 2021, 43(3): 817-825. doi: 10.11999/JEIT200660

一种改进的水声正交频分复用稀疏信道时延估计算法

doi: 10.11999/JEIT200660
基金项目: 国家自然科学基金(61771152, 11774074)
详细信息
    作者简介:

    强夕竹:女,1993年生,博士生,研究方向为水声通信

    乔钢:男,1974年生,教授,研究方向为水声通信

    周锋:男,1980年生,教授,研究方向为水声通信

    通讯作者:

    周锋 zhoufeng@hrbeu.edu.cn

  • 中图分类号: TN929.3

An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel

Funds: The National Natural Science Foundation of China (61771152, 11774074)
  • 摘要: 水声正交频分复用(OFDM)系统中,采用传统正交匹配追踪(OMP)方法估计离网格(off-grid)时延时,需要很高的过采样因子和高昂的计算开销。针对传统OMP方法估计离网格时延计算复杂度高的问题,该文借鉴多元线性拟合思想引入路径补偿的概念,提出了一种基于路径补偿的改进OMP时延估计算法,用以补偿从离网格路径向其周围网格位置泄漏的能量,并用补偿距离这一参数来解释路径补偿效果。该算法无需增加过采样因子,仅利用恰当的补偿距离即可实现较好的估计效果,且能在提高估计性能的同时降低计算复杂度。仿真分析与海试结果验证了该方法的优越性。
  • 图  1  补偿距离与拟合效果的关系

    图  2  路径补偿示意图

    图  3  算法流程图

    图  4  单径信道32 dB下的MSE

    图  5  单径信道0 dB下的MSE

    图  6  时延间隔均值为1 ms的多径信道MSE

    图  7  时延间隔均值为0.2 ms的多径信道MSE

    图  8  各阵列平均信道冲激响应

    表  1  内积计算复杂度定性对比

    实数乘法实数加法
    OMP-grid-comp$L \cdot 2\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$$L \cdot 3\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$
    OMP-normal-comp$2L \cdot 2\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$$2L \cdot 3\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$
    OMP-sin$2L \cdot 2\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$$2L \cdot 3\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$
    SdMP$L \cdot 2\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$$L \cdot 3\lambda {N_{\rm{P}}}{\log _2}\lambda {N_{\rm{P}}}$
    下载: 导出CSV

    表  2  内积计算复杂度定量对比

    实数乘法实数加法
    OMP-grid-comp($\lambda = 4$)102400153600
    OMP-normal-comp($\lambda = 4$)204800307200
    OMP-sin($\lambda = 4$)204800307200
    SdMP($\lambda = 4$)102400153600
    下载: 导出CSV

    表  3  不同信道估计方法的原始误码率

    误码率阵列1阵列2阵列3阵列4阵列5
    本文方法最大值0.05680.06820.04830.07100.0284
    平均值0.00450.01200.00490.00580.0070
    OMP-2grid-comp最大值0.06250.06820.04830.07390.0369
    平均值0.00570.01280.00630.00650.0079
    OMP-sin最大值0.05970.08240.05400.07670.0313
    平均值0.00530.01460.00620.00770.0080
    SdMP最大值0.05680.07100.05970.07950.0426
    平均值0.00530.01270.00720.00820.0079
    OMP-normal-comp-8最大值0.05680.07950.05970.08240.0426
    平均值0.00540.01590.00670.00840.0100
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-08-03
  • 修回日期:  2021-01-24
  • 网络出版日期:  2021-02-06
  • 刊出日期:  2021-03-22

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