Semiconductor Optoelectronics, Volume. 46, Issue 4, 734(2025)

Stepped-Frequency Continuous-Wave Ground-Penetrating Radar Denoising Method Based on Variational Mode Decomposition Algorithm

YAO Pan1, LIU Baojun1, LI Baoguo1, and CHENG Maosen2
Author Affiliations
  • 1Jiangmen Power Supply Bureau of Guangdong Power Grid Co., ltd, Jiangmen 529000, CHN
  • 2School of Instrument Science and Engineering, Harbin Institute of Technology, Harbin 150001, CHN
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    References(8)

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    [11] [11] Dragomiretskiy K, Zosso D. Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 531-544.

    [12] [12] Zhao S, Wu Y, Jiang X, et al. Weak signal detection in chaotic noise background- based on VMD-EEMD and self-attention mechanisms[J]. Journal of Physics: Conference Series, 2024, 2851: 012015.

    [13] [13] Lu Q, Guo S, Zeng Z, et al. Application of variational mode decomposition in GPR detection of oil contaminated soil[J]. Journal of Physics: Conference Series, 2023, 2651(1): 012035.

    [15] [15] Cao W, Li C, Li Z, et al. Research on low-resistance grounding fault line selection based on VMD with PE and K-means clustering algorithm[J]. Mathematical Problems in Engineering, 2022, 2022(1): 5360302.

    [17] [17] Pichler K, Klaffenbck M A, Mayer J, et al. Improved univariate EMD-based oscillation detection by evaluation of IMF properties and Welch power spectra[C]//2022 IEEE 31st International Symposium on Industrial Electronics, 2022: 123-128.

    [18] [18] Karna A, Gibert K. Automatic identification of the number of clusters in hierarchical clustering[J]. Neural Computing and Applications, 2022, 34(1): 119-134.

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    YAO Pan, LIU Baojun, LI Baoguo, CHENG Maosen. Stepped-Frequency Continuous-Wave Ground-Penetrating Radar Denoising Method Based on Variational Mode Decomposition Algorithm[J]. Semiconductor Optoelectronics, 2025, 46(4): 734

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    Paper Information

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    Received: Jul. 1, 2025

    Accepted: Sep. 18, 2025

    Published Online: Sep. 18, 2025

    The Author Email:

    DOI:10.16818/j.issn1001-5868.20250701001

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