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激光多普勒振动信号的时频分析

陈鸿凯 王挺峰 吴世松 李远洋 郭劲 吴皓

陈鸿凯, 王挺峰, 吴世松, 李远洋, 郭劲, 吴皓. 激光多普勒振动信号的时频分析[J]. 中国光学, 2020, 13(5): 1014-1022. doi: 10.37188/CO.2019-0251
引用本文: 陈鸿凯, 王挺峰, 吴世松, 李远洋, 郭劲, 吴皓. 激光多普勒振动信号的时频分析[J]. 中国光学, 2020, 13(5): 1014-1022. doi: 10.37188/CO.2019-0251
CHEN Hong-kai, WANG Ting-feng, WU Shi-song, LI Yuan-yang, GUO Jin, WU Hao. Time-frequency analysis of laser doppler radar vibration signals[J]. Chinese Optics, 2020, 13(5): 1014-1022. doi: 10.37188/CO.2019-0251
Citation: CHEN Hong-kai, WANG Ting-feng, WU Shi-song, LI Yuan-yang, GUO Jin, WU Hao. Time-frequency analysis of laser doppler radar vibration signals[J]. Chinese Optics, 2020, 13(5): 1014-1022. doi: 10.37188/CO.2019-0251

激光多普勒振动信号的时频分析

doi: 10.37188/CO.2019-0251
基金项目: 国家自然科学基金项目(No. 61805234)
详细信息
    作者简介:

    陈鸿凯(1995—),男,福建福州人,硕士研究生,2017年于山东大学获得学士学位,主要从事激光多普勒雷达探测及雷达信号处理方面的研究。E-mail:chenhk_sdu@163.com

    王挺峰(1977—),男,山东文登人,博士,研究员,博士生导师,1999年于原吉林工业大学获得学士学位,2002年于吉林大学获得硕士学位,2005年于中国科学院长春光学精密机械与物理研究所获得博士学位,主要从事激光应用与光电总体方面的研究。E-mail:wangtingfeng@ciomp.ac.cn

  • 中图分类号: TN958.95

Time-frequency analysis of laser doppler radar vibration signals

Funds: Supported by National Natural Science Foundation of China (No. 61805234)
More Information
  • 摘要: 激光多普勒雷达实际测得的振动信号绝大多数都是时变信号,而基于傅立叶变换的时频分析方法是处理时变信号的有利工具。本文针对激光多普勒雷达测得的实际振动信号,比较了魏格纳-维利分布、平滑伪魏格纳-维利分布、频谱图、波恩-约旦分布和扩展修正B分布5种形式的时频分析性能。利用激光多普勒雷达测量实际单音响产生的啁啾信号振动、双音响产生的二分量啁啾信号振动、以及成年男性心跳振动3种振动,分析了时频图的分辨率和交叉项抑制情况,并通过计算时频聚集度指数,比较了5种分布情况下振动的分析性能。实验证明,扩展修正B分布的性能优于其他4种时频分布,扩展修正B分布更适合应用于激光多普勒雷达材料共振频率探测和心跳检测领域。
  • 图  1  激光雷达探测原理图

    Figure  1.  Schematic diagram of laser lidar detection

    图  2  全光纤相干激光多普勒雷达原理图

    Figure  2.  Block diagram of all fiber coherent laser Doppler radar

    图  3  双声光调制相干激光多普勒雷达原理图

    Figure  3.  Block diagram of coherent laser Doppler radar with double acoustic optic modulation

    图  4  双声光调制相干激光多普勒雷达实验装置图

    Figure  4.  Experimental device of coherent laser Doppler radar with double acoustic optic modulation

    图  5  单分量啁啾信号的振动时域图及其时频分布

    Figure  5.  Time domain and time frequency distribution of single component chirps

    图  6  二分量啁啾信号振动时域图及其时频分布

    Figure  6.  Time domain and time frequency distribution of two component chirps vibration

    图  7  成年男性心跳振动时域图

    Figure  7.  Time domain diagram of adult male heatbeat vibration

    图  8  成年男性心跳振动时频分布

    Figure  8.  Time frequency distribution of adult male heatbeat vibration

    表  1  单分量啁啾信号的振动时频聚集度评价

    Table  1.   Evaluation of time frequency concentration of single component chirps vibration

    时频分布WVDSPWVDSPECBJDEMBD
    评价指数1.89×10−45.05×10−52.88×10−51.97×10−42.12×10−4
    下载: 导出CSV

    表  2  二分量啁啾信号振动时频聚集度评价

    Table  2.   Evaluation of time frequency concentration of two component chirp vibration

    时频分布WVDSPWVDSPECBJDEMBD
    评价指数8.88×10−57.12×10−51.04×10−59.16×10−51.08×10−4
    下载: 导出CSV

    表  3  成年男性心跳振动时频聚集度评价

    Table  3.   Evaluation of time frequency concentration of adult male heatbeat vibration

    时频分布WVDSPWVDSPECBJDEMBD
    评价指数2.67×10−43.07×10−44.00×10−44.94×10−45.56×10−4
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-12-31
  • 修回日期:  2020-02-22
  • 网络出版日期:  2020-09-09
  • 刊出日期:  2020-10-05

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