Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 6, 503(2023)
Time-frequency analysis of millimeter radar based on synchrosqueezing wavelet transform
Fig. 2. Echo signals and the corresponding spectrum analysis diagrams. (a) Echo signal without noise; (b) spectrum analysis of noiseless echo signal; (c) echo signal with noise; (d) spectrum analysis of noisy echo signal
Fig. 3. Noisy echo signal and the corresponding spectrum analysis diagram. (a) Echo signal with random noise; (b) spectrum analysis of noisy signal
Fig. 4. Time spectrum diagram of echo signal. (a) STFT; (b) CWT; (c) SST
Fig. 5. Time spectrum diagrams of three algorithms. (a) STFT; (b) CWT; (c) SST
Fig. 6. Comparison of three algorithms for instantaneous frequency identification under different signal-to-noise ratios
Fig. 9. Time spectrum diagrams of echo signal. (a) CWT; (b) STFT; (c) SST; (d) SST-median filtering
Fig. 11. Comparison of I values at different distances for different transformations
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Cong LI, Hua XU, Congcong DAI, Yang FENG, Quan DENG, Zhiming ZHOU. Time-frequency analysis of millimeter radar based on synchrosqueezing wavelet transform[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(6): 503
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Received: Jun. 13, 2022
Accepted: --
Published Online: Dec. 22, 2023
The Author Email: Congcong DAI (2898471415@qq.com)