A frequency domain multi-path electromagnetic interference cancellation method
In response to the issue of substantial interference cancellation errors arising from insufficient background interference correlation in actual environments, a frequency-domain multi-path electromagnetic interference cancellation approach was proposed. The frequency splitting property of the variat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Hebei University of Science and Technology
2023-10-01
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| Series: | Journal of Hebei University of Science and Technology |
| Subjects: | |
| Online Access: | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202305002 |
| _version_ | 1797435665285120000 |
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| author | Dongwei CHEN Mingjie LI Mengzhe JIN Weidong LIU |
| author_facet | Dongwei CHEN Mingjie LI Mengzhe JIN Weidong LIU |
| author_sort | Dongwei CHEN |
| collection | DOAJ |
| description | In response to the issue of substantial interference cancellation errors arising from insufficient background interference correlation in actual environments, a frequency-domain multi-path electromagnetic interference cancellation approach was proposed. The frequency splitting property of the variational modal decomposition (VMD) was used to decompose the two-channel signals into multiple modal signals with the same center frequency and decomposition bandwidth. Then the decomposed modal signals were used to construct a multi-path interference cancellation system. Finally, a back propagation (BP) neural network was used to nonlinearly fit and cancel the signals on each path so as to obtain the real equipment-under-test (EUT) radiated emission signals. The simulation and experimental test results show that the EUT radiated emission signal obtained by this method has a power error of less than 1 dB and a signal correlation of more than 96% compared with the actual EUT radiated emission signal. Compared with the variable step size LMS algorithm and EMD-LMS algorithm, the power error is reduced by at least 36 dB, and the signal correlation is improved by at least 15%. This method has a reference value for in-situ testing of electromagnetic radiation emissions from large, movable EUTs in open fields. |
| first_indexed | 2024-03-09T10:51:32Z |
| format | Article |
| id | doaj.art-81b1275f431c4084bd29b4211b42ba2b |
| institution | Directory Open Access Journal |
| issn | 1008-1542 |
| language | zho |
| last_indexed | 2024-03-09T10:51:32Z |
| publishDate | 2023-10-01 |
| publisher | Hebei University of Science and Technology |
| record_format | Article |
| series | Journal of Hebei University of Science and Technology |
| spelling | doaj.art-81b1275f431c4084bd29b4211b42ba2b2023-12-01T06:55:14ZzhoHebei University of Science and TechnologyJournal of Hebei University of Science and Technology1008-15422023-10-0144544044910.7535/hbkd.2023yx05002b202305002A frequency domain multi-path electromagnetic interference cancellation methodDongwei CHEN0Mingjie LI1Mengzhe JIN2Weidong LIU3Hebei Provincial Key Laboratory of Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, ChinaHebei Provincial Key Laboratory of Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, ChinaHebei Provincial Key Laboratory of Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, ChinaHebei Provincial Key Laboratory of Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, ChinaIn response to the issue of substantial interference cancellation errors arising from insufficient background interference correlation in actual environments, a frequency-domain multi-path electromagnetic interference cancellation approach was proposed. The frequency splitting property of the variational modal decomposition (VMD) was used to decompose the two-channel signals into multiple modal signals with the same center frequency and decomposition bandwidth. Then the decomposed modal signals were used to construct a multi-path interference cancellation system. Finally, a back propagation (BP) neural network was used to nonlinearly fit and cancel the signals on each path so as to obtain the real equipment-under-test (EUT) radiated emission signals. The simulation and experimental test results show that the EUT radiated emission signal obtained by this method has a power error of less than 1 dB and a signal correlation of more than 96% compared with the actual EUT radiated emission signal. Compared with the variable step size LMS algorithm and EMD-LMS algorithm, the power error is reduced by at least 36 dB, and the signal correlation is improved by at least 15%. This method has a reference value for in-situ testing of electromagnetic radiation emissions from large, movable EUTs in open fields.https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202305002signal detection; frequency domain cancellation; electromagnetic interference; vmd; multi-path; bp neural network |
| spellingShingle | Dongwei CHEN Mingjie LI Mengzhe JIN Weidong LIU A frequency domain multi-path electromagnetic interference cancellation method Journal of Hebei University of Science and Technology signal detection; frequency domain cancellation; electromagnetic interference; vmd; multi-path; bp neural network |
| title | A frequency domain multi-path electromagnetic interference cancellation method |
| title_full | A frequency domain multi-path electromagnetic interference cancellation method |
| title_fullStr | A frequency domain multi-path electromagnetic interference cancellation method |
| title_full_unstemmed | A frequency domain multi-path electromagnetic interference cancellation method |
| title_short | A frequency domain multi-path electromagnetic interference cancellation method |
| title_sort | frequency domain multi path electromagnetic interference cancellation method |
| topic | signal detection; frequency domain cancellation; electromagnetic interference; vmd; multi-path; bp neural network |
| url | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202305002 |
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