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基于叠加训练序列和低复杂度频域Turbo均衡的时变水声信道估计和均衡

杨光 丁寒雪 郭庆华 颜琪 王辛杰

杨光, 丁寒雪, 郭庆华, 颜琪, 王辛杰. 基于叠加训练序列和低复杂度频域Turbo均衡的时变水声信道估计和均衡[J]. 电子与信息学报, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315
引用本文: 杨光, 丁寒雪, 郭庆华, 颜琪, 王辛杰. 基于叠加训练序列和低复杂度频域Turbo均衡的时变水声信道估计和均衡[J]. 电子与信息学报, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315
Guang YANG, Hanxue DING, Qinghua GUO, Qi YAN, Xinjie WANG. Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain[J]. Journal of Electronics and Information Technology, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315
Citation: Guang YANG, Hanxue DING, Qinghua GUO, Qi YAN, Xinjie WANG. Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain[J]. Journal of Electronics and Information Technology, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315

基于叠加训练序列和低复杂度频域Turbo均衡的时变水声信道估计和均衡

doi: 10.11999/JEIT200315
基金项目: 国家自然科学基金(61771271),山东省自然科学基金面上项目(ZR2020MF010, ZR2020MF001),青岛市源头创新计划-青年专项(19-6-2-4-cg),山东省高等学校科学技术(J18KA315)
详细信息
    作者简介:

    杨光:男,1981年生,博士,讲师,研究方向为水声通信

    丁寒雪:女,1998年生,硕士生,研究方向为水声通信

    郭庆华:男,1978年生,博士,副教授,IEEE高级会员,研究方向为水声通信和无线通信

    颜琪:女,1996年生,硕士生,研究方向为水声通信

    王辛杰:男,1980年生,博士,讲师,研究方向为水声通信

    通讯作者:

    丁寒雪 edit231@163.com

  • 中图分类号: TN929.3

Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain

Funds: The National Natural Science Foundation of China (61771271), The General Project of Natural Science Foundation of Shandong Province (ZR2020MF010, ZR2020MF001), Qingdao Source Innovation Program - Special Project for Young Scholars (19-6-2-4-cg), Shandong Province Higher Educational Science and Technology Program (J18KA315)
  • 摘要: 针对时变水声信道估计和均衡问题,该文提出基于叠加训练序列(ST)和低复杂度频域Turbo均衡(LTE)的时变水声信道估计和均衡(ST-LTE)算法。基于叠加训练序列方案,将训练序列和符号线性叠加,使得训练序列和符号信道信息一致;基于最小二乘算法,进行信道估计。基于频域训练序列干扰消除技术,在频域消除训练序列对符号的干扰;基于频域线性最小均方误差(LMMSE)均衡算法,通过先验、后验、外均值和方差的计算,实现低复杂度信道均衡(符号估计);基于Turbo均衡算法,软重构叠加训练序列和更新信道估计,进行均衡器和译码器的信息交换,利用编码冗余信息,大幅度提升信道均衡性能。进行仿真、水池静态通信试验(通信频率12 kHz,带宽6 kHz,采样频率96 kHz,符号传输速率4.8 ksym/s,训练序列和符号的功率比为0.25:1)和胶州湾运动通信试验(通信频率12 kHz,带宽6 kHz,采样频率96 kHz,符号传输速率3 ksym/s,训练序列和符号的功率比为0.25:1),仿真和试验结果验证了所提算法的有效性。
  • 图  1  基带通信系统

    图  2  Turbo均衡

    图  3  接收信号结构

    图  4  水声信道的响应

    图  5  解码误码率

    图  6  水池试验

    图  7  胶州湾试验

    图  8  胶州湾试验结果

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出版历程
  • 收稿日期:  2020-04-28
  • 修回日期:  2020-12-09
  • 网络出版日期:  2021-01-04
  • 刊出日期:  2021-03-22

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