Optical Communication Technology, Volume. 47, Issue 2, 17(2023)
Research on Doppler wind lidar signal denoising based on wavelet analysis
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.
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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
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Received: Jun. 16, 2022
Accepted: --
Published Online: Mar. 30, 2023
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