An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor
Joint Authors
Fang, Guangyou
Zhang, Xiaojuan
Huang, Chao
Xu, Xin
Liu, Dunge
Zhu, Wanhua
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Huang, Chao& Xu, Xin& Liu, Dunge& Zhu, Wanhua& Zhang, Xiaojuan& Fang, Guangyou. 2015. An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor. Journal of Electrical and Computer Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068099
Modern Language Association (MLA)
Huang, Chao…[et al.]. An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor. Journal of Electrical and Computer Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1068099
American Medical Association (AMA)
Huang, Chao& Xu, Xin& Liu, Dunge& Zhu, Wanhua& Zhang, Xiaojuan& Fang, Guangyou. An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor. Journal of Electrical and Computer Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068099
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068099
