Optical Communication Technology, Volume. 47, Issue 2, 17(2023)

Research on Doppler wind lidar signal denoising based on wavelet analysis

JIANG Yuchen... YI Wensuo, LI Dongxu, HAN Dongzi and WANG Xinrui |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less

    Aiming at the problems of weak atmospheric echo signal and large noise interference detected by Doppler wind lidar, a semi-soft threshold algorithm based on wavelet transform is proposed. Firstly, the principle of semi-soft threshold algorithm based on wavelet transform is analyzed. The incoherent Doppler wind lidar system with Mach-Zehnder interferometer as frequency discriminator is built. Then, three algorithms of hard threshold, soft threshold and semi-soft threshold are used to test the echo signal detected by laser radar. The experimental results show that compared with other threshold methods, the signal-to-noise ratio(SNR) of semi-soft threshold is 4.933 5 dB and the root mean square error(RMSE) is 0.676 2. The denoising effect is better and the detection accuracy of atmospheric wind speed is effectively improved.

    Tools

    Get Citation

    Copy Citation Text

    JIANG Yuchen, YI Wensuo, LI Dongxu, HAN Dongzi, WANG Xinrui. Research on Doppler wind lidar signal denoising based on wavelet analysis[J]. Optical Communication Technology, 2023, 47(2): 17

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Special Issue:

    Received: Jun. 16, 2022

    Accepted: --

    Published Online: Mar. 30, 2023

    The Author Email:

    DOI:10.13921/j.cnki.issn1002-5561.2023.02.004

    Topics