• Optical Communication Technology
  • Vol. 47, Issue 2, 17 (2023)
JIANG Yuchen, YI Wensuo, LI Dongxu, HAN Dongzi, and WANG Xinrui
Author Affiliations
  • [in Chinese]
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    DOI: 10.13921/j.cnki.issn1002-5561.2023.02.004 Cite this Article
    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 Copy Citation Text show less

    Abstract

    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.