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Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 3, 385(2025)

Lidar signal denoising method based on SVMD-SVD algorithm

FENG Yongfu1 and LI Hongxu2、*
Author Affiliations
  • 1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2Jiangsu Province Engineering Research Center of Photonic Devices and System Integration for Communication Sensing Convergence, Wuxi University, Wuxi 214105, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (22)
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    Figures & Tables(11)
    Flowchart of SVMD-SVD algorithm

    Fig. 1. Flowchart of SVMD-SVD algorithm

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    Lidar simulation signal (a) andits decomposition results (b)

    Fig. 2. Lidar simulation signal (a) andits decomposition results (b)

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    Denoising results of different methods. (a) Noisy signal; (b) SVMD denoising result; (c) EMD-WT denoising result; (d) CEEMDAN-WT denoising result; (e) SVMD-SVD denoising result

    Fig. 3. Denoising results of different methods. (a) Noisy signal; (b) SVMD denoising result; (c) EMD-WT denoising result; (d) CEEMDAN-WT denoising result; (e) SVMD-SVD denoising result

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    Lidar simulation signal with clouds

    Fig. 4. Lidar simulation signal with clouds

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    Denoising results of different methods for cloud signals. (a) Noisy signal; (b) SVMD denoising result; (c) EMD-WT denoising result; (d) CEEMDAN-WT denoising result; (e) SVMD-SVD denoising result

    Fig. 5. Denoising results of different methods for cloud signals. (a) Noisy signal; (b) SVMD denoising result; (c) EMD-WT denoising result; (d) CEEMDAN-WT denoising result; (e) SVMD-SVD denoising result

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    Denoising results of GOF corrected signal using four methods. (a) SVMD; (b) EMD-WT; (c) CEEMDAN-WT; (d) SVMD-SVD

    Fig. 6. Denoising results of GOF corrected signal using four methods. (a) SVMD; (b) EMD-WT; (c) CEEMDAN-WT; (d) SVMD-SVD

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    Denoising results of RSC signal using four methods. (a) SVMD ; (b) EMD-WT; (c) CEEMDAN-WTt; (d) SVMD-SVD

    Fig. 7. Denoising results of RSC signal using four methods. (a) SVMD ; (b) EMD-WT; (c) CEEMDAN-WTt; (d) SVMD-SVD

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    Comparison of denoising for aerosol extinction coefficient curve under mild pollution. (a) SVMD; (b) EMD-WT; (c) CEEMDAN-WT; (d) SVMD-SVD

    Fig. 8. Comparison of denoising for aerosol extinction coefficient curve under mild pollution. (a) SVMD; (b) EMD-WT; (c) CEEMDAN-WT; (d) SVMD-SVD

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    Comparison of denoising for aerosol extinction coefficient curve under heavy pollution. (a) SVMD; (b) EMD-WT; (c) CEEMDAN-WT ; (d) SVMD-SVD

    Fig. 9. Comparison of denoising for aerosol extinction coefficient curve under heavy pollution. (a) SVMD; (b) EMD-WT; (c) CEEMDAN-WT ; (d) SVMD-SVD

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    • Table 1. Denoising performance of different methods

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      Table 1. Denoising performance of different methods

      MethodRSN/dBERMS
      SVMD20.264.66 × 10-12
      EMD-WT20.524.52 × 10-12
      CEEMDAN-WT22.013.81 × 10-12
      SVMD-SVD27.052.13 × 10-12

    • Table 2. Denoising performance of different methods for cloud signals

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      Table 2. Denoising performance of different methods for cloud signals

      MethodRSN/dBERMS
      SVMD18.845.94 × 10-12
      EMD-WT19.085.77 × 10-12
      CEEMDAN-WT19.765.34 × 10-12
      SVMD-SVD21.314.47 × 10-12
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    Yongfu FENG, Hongxu LI. Lidar signal denoising method based on SVMD-SVD algorithm[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(3): 385

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    Paper Information

    Category: "Advanced technology of lidar and its application in atmospheric environment" Albun

    Received: Oct. 15, 2024

    Accepted: --

    Published Online: Jun. 9, 2025

    The Author Email: Hongxu LI (hongxuli@cwxu.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2025.03.011

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology