An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor
It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals under the condition of low SNR (the signal-to...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/312347 |
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| _version_ | 1832560811182129152 |
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| author | Chao Huang Xin Xu Dunge Liu Wanhua Zhu Xiaojuan Zhang Guangyou Fang |
| author_facet | Chao Huang Xin Xu Dunge Liu Wanhua Zhu Xiaojuan Zhang Guangyou Fang |
| author_sort | Chao Huang |
| collection | DOAJ |
| description | It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals under the condition of low SNR (the signal-to-noise ratio). In this paper, we analyze the numerical characteristics of the low-frequency magnetic field and propose the algorithms of the fast optimization of blind source separation (FOBSS) and the frequency-domain correlation extraction (FDCE). FOBSS is based on blind source separation (BSS). Signal extraction of low SNR can be implemented through FOBSS and FDCE. This signal extraction method is verified in multiple field experiments which can remove the magnetic noise by about 25 dB or more. |
| format | Article |
| id | doaj-art-605b750c5d8c4e0081d08fcae8b38e5e |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-605b750c5d8c4e0081d08fcae8b38e5e2025-02-03T01:26:39ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/312347312347An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on MultisensorChao Huang0Xin Xu1Dunge Liu2Wanhua Zhu3Xiaojuan Zhang4Guangyou Fang5Key Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences, North 4th Ring Road West, Haidian District, Beijing 100190, ChinaKey Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences, North 4th Ring Road West, Haidian District, Beijing 100190, ChinaKey Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences, North 4th Ring Road West, Haidian District, Beijing 100190, ChinaKey Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences, North 4th Ring Road West, Haidian District, Beijing 100190, ChinaKey Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences, North 4th Ring Road West, Haidian District, Beijing 100190, ChinaKey Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences, North 4th Ring Road West, Haidian District, Beijing 100190, ChinaIt is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals under the condition of low SNR (the signal-to-noise ratio). In this paper, we analyze the numerical characteristics of the low-frequency magnetic field and propose the algorithms of the fast optimization of blind source separation (FOBSS) and the frequency-domain correlation extraction (FDCE). FOBSS is based on blind source separation (BSS). Signal extraction of low SNR can be implemented through FOBSS and FDCE. This signal extraction method is verified in multiple field experiments which can remove the magnetic noise by about 25 dB or more.http://dx.doi.org/10.1155/2015/312347 |
| spellingShingle | Chao Huang Xin Xu Dunge Liu Wanhua Zhu Xiaojuan Zhang Guangyou Fang An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor Journal of Electrical and Computer Engineering |
| title | An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor |
| title_full | An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor |
| title_fullStr | An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor |
| title_full_unstemmed | An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor |
| title_short | An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor |
| title_sort | extraction method of weak low frequency magnetic communication signals based on multisensor |
| url | http://dx.doi.org/10.1155/2015/312347 |
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