Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD
The transient electromagnetic method (TEM) is an efficient physical detection method widely used in underground space detection. However, electromagnetic noise interference poses significant challenges, as the TEM late signal is often submerged in noise, severely impacting the detection accuracy and...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10843714/ |
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| author | Yuheng Li Yang Zhang Jiwei Shen Xinze Wen Jianmei Chen Wanqiang Zhu |
| author_facet | Yuheng Li Yang Zhang Jiwei Shen Xinze Wen Jianmei Chen Wanqiang Zhu |
| author_sort | Yuheng Li |
| collection | DOAJ |
| description | The transient electromagnetic method (TEM) is an efficient physical detection method widely used in underground space detection. However, electromagnetic noise interference poses significant challenges, as the TEM late signal is often submerged in noise, severely impacting the detection accuracy and depth. Therefore, this study proposes a TEM data noise suppression method based on the marine predators algorithm (MPA) to optimize variational mode decomposition (VMD) combined with singular value decomposition (SVD). Firstly, MPA is employed to select the main parameters of VMD. Secondly, the noisy data are decomposed into several intrinsic mode functions using the adaptive variational property of VMD. Finally, the mode containing signal information undergoes SVD to remove residual noise, after which the denoised TEM signal is reconstructed. This study simulates TEM signals with different noise levels for testing. The proposed method is compared to stacking-averaging, wavelet threshold denoising, SVD, empirical mode decomposition, and unoptimized VMD. The results showed that the model exhibits superior noise reduction performance. In addition, measured noise experiments are conducted to verify the practicability of the method. Simulation and field experiments indicated that MPA-VMD-WTD is an effective method for suppressing TEM data noise. |
| format | Article |
| id | doaj-art-ab53211e487443189f598a84290e219b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-ab53211e487443189f598a84290e219b2025-01-31T00:01:12ZengIEEEIEEE Access2169-35362025-01-0113188901889810.1109/ACCESS.2025.353044710843714Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVDYuheng Li0https://orcid.org/0009-0003-5511-1701Yang Zhang1https://orcid.org/0000-0003-0298-0068Jiwei Shen2Xinze Wen3Jianmei Chen4https://orcid.org/0009-0001-2893-0918Wanqiang Zhu5School of Physics, Northeast Normal University, Changchun, ChinaSchool of Instrument Science and Electrical Engineering, Jilin University, Changchun, ChinaChangchun Vocational and Technical College, Changchun, ChinaSchool of Physics, Northeast Normal University, Changchun, ChinaSchool of Physics, Northeast Normal University, Changchun, ChinaSchool of Physics, Northeast Normal University, Changchun, ChinaThe transient electromagnetic method (TEM) is an efficient physical detection method widely used in underground space detection. However, electromagnetic noise interference poses significant challenges, as the TEM late signal is often submerged in noise, severely impacting the detection accuracy and depth. Therefore, this study proposes a TEM data noise suppression method based on the marine predators algorithm (MPA) to optimize variational mode decomposition (VMD) combined with singular value decomposition (SVD). Firstly, MPA is employed to select the main parameters of VMD. Secondly, the noisy data are decomposed into several intrinsic mode functions using the adaptive variational property of VMD. Finally, the mode containing signal information undergoes SVD to remove residual noise, after which the denoised TEM signal is reconstructed. This study simulates TEM signals with different noise levels for testing. The proposed method is compared to stacking-averaging, wavelet threshold denoising, SVD, empirical mode decomposition, and unoptimized VMD. The results showed that the model exhibits superior noise reduction performance. In addition, measured noise experiments are conducted to verify the practicability of the method. Simulation and field experiments indicated that MPA-VMD-WTD is an effective method for suppressing TEM data noise.https://ieeexplore.ieee.org/document/10843714/Electromagnetic datanoise reductionVMDMPASVD |
| spellingShingle | Yuheng Li Yang Zhang Jiwei Shen Xinze Wen Jianmei Chen Wanqiang Zhu Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD IEEE Access Electromagnetic data noise reduction VMD MPA SVD |
| title | Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD |
| title_full | Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD |
| title_fullStr | Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD |
| title_full_unstemmed | Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD |
| title_short | Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD |
| title_sort | transient electromagnetic data noise suppression method based on mpa vmd svd |
| topic | Electromagnetic data noise reduction VMD MPA SVD |
| url | https://ieeexplore.ieee.org/document/10843714/ |
| work_keys_str_mv | AT yuhengli transientelectromagneticdatanoisesuppressionmethodbasedonmpavmdsvd AT yangzhang transientelectromagneticdatanoisesuppressionmethodbasedonmpavmdsvd AT jiweishen transientelectromagneticdatanoisesuppressionmethodbasedonmpavmdsvd AT xinzewen transientelectromagneticdatanoisesuppressionmethodbasedonmpavmdsvd AT jianmeichen transientelectromagneticdatanoisesuppressionmethodbasedonmpavmdsvd AT wanqiangzhu transientelectromagneticdatanoisesuppressionmethodbasedonmpavmdsvd |