Volume 13 Issue 5
Sep.  2020
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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

Time-frequency analysis of laser doppler radar vibration signals

Funds:  Supported by National Natural Science Foundation of China (No. 61805234)
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  • Corresponding author: wangtingfeng@ciomp.ac.cn
  • Received Date: 31 Dec 2019
  • Rev Recd Date: 22 Feb 2020
  • Available Online: 09 Sep 2020
  • Publish Date: 05 Oct 2020
  • Most actual vibration signals measured by lidar are time-varying signals. Methods of time-frequency analysis based on Fourier transforms are effective tools for processing time-varying signals. In this paper, the properties of the Wigner-Wiley distribution, the smooth pseudo-Wigner-Wiley distribution, the spectrogram, the Bonn-Jordan distribution, and the extended modified B distribution are compared and analyzed with actual vibration signals measured by laser Doppler radar. Three kinds of vibrations are measured with a laser Doppler radar: chirps generated by a single loudspeaker, two-component chirps generated by two loudspeakers, and adult male heartbeat vibrations. Their time-frequency distribution resolution and the suppression of cross-terms are analyzed. By calculating the time-frequency concentration index, the analysis capacites of the five distributions for three vibrations are compared. Experimental results indicate that the performance of the extended modified B distribution is better than that of the other four time-frequency distributions. Therefore, the extended modified B distribution is more suitable for the detection of material resonance frequency of laser Doppler radar and the detection of heartbeat.

     

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