An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor

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: Chao Huang, Xin Xu, Dunge Liu, Wanhua Zhu, Xiaojuan Zhang, Guangyou Fang
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2015/312347
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spelling doaj-605b750c5d8c4e0081d08fcae8b38e5e2021-07-02T09:11:05ZengHindawi LimitedJournal 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
collection DOAJ
language English
format Article
sources DOAJ
author Chao Huang
Xin Xu
Dunge Liu
Wanhua Zhu
Xiaojuan Zhang
Guangyou Fang
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
author_facet Chao Huang
Xin Xu
Dunge Liu
Wanhua Zhu
Xiaojuan Zhang
Guangyou Fang
author_sort Chao Huang
title 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_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_sort extraction method of weak low-frequency magnetic communication signals based on multisensor
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2015-01-01
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.
url http://dx.doi.org/10.1155/2015/312347
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