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Paper Abstract and Keywords
Presentation 2020-10-22 11:00
Basic study of electromagnetic noise waveform extraction using independent component analysis
Nao Takahashi, Shinobu Ishigami, Ken Kawamata (TGU) EMCJ2020-28 MW2020-42 EST2020-30
Abstract (in Japanese) (See Japanese page) 
(in English) For the safe operation of next-generation autonomous mobiles such as drones, 5G (5th generation mobile phone) technology is used. On the other hand, electromagnetic noise generated by next-generation autonomous mobiles such as drones and electromagnetic noise generated by other electronic devices may interfere with the 5G radio waves used for their own communication control. However, in general, the electromagnetic noise measured by an antenna cannot measure only the electromagnetic noise component that has an adverse effect on 5G communication, and the electromagnetic waves of all components including the original communication signal are measured at the same time. Therefore, in this research, an independent component analysis (ICA) program is coded using the programming language Python as a basic study of analysis technology that extracts the required noise waveform from the measurement results of electromagnetic fields. In addition, the above-mentioned ICA program is used to separate and extract the actual electromagnetic noise composed of two types of noise waveforms.
Keyword (in Japanese) (See Japanese page) 
(in English) Python / Independent Component Analysis (ICA) / Electromagnetic noise waveform / 5G mobiles / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 199, EMCJ2020-28, pp. 20-24, Oct. 2020.
Paper # EMCJ2020-28 
Date of Issue 2020-10-15 (EMCJ, MW, EST) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EMCJ2020-28 MW2020-42 EST2020-30

Conference Information
Committee MW EST EMCJ PEM IEE-EMC  
Conference Date 2020-10-22 - 2020-10-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMCJ 
Conference Code 2020-10-MW-EST-EMCJ-PEM-EMC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Basic study of electromagnetic noise waveform extraction using independent component analysis 
Sub Title (in English)  
Keyword(1) Python  
Keyword(2) Independent Component Analysis (ICA)  
Keyword(3) Electromagnetic noise waveform  
Keyword(4) 5G mobiles  
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1st Author's Name Nao Takahashi  
1st Author's Affiliation Tohoku Gakuin University (TGU)
2nd Author's Name Shinobu Ishigami  
2nd Author's Affiliation Tohoku Gakuin University (TGU)
3rd Author's Name Ken Kawamata  
3rd Author's Affiliation Tohoku Gakuin University (TGU)
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Speaker Author-1 
Date Time 2020-10-22 11:00:00 
Presentation Time 25 minutes 
Registration for EMCJ 
Paper # EMCJ2020-28, MW2020-42, EST2020-30 
Volume (vol) vol.120 
Number (no) no.199(EMCJ), no.200(MW), no.201(EST) 
Page pp.20-24 
#Pages 5 
Date of Issue 2020-10-15 (EMCJ, MW, EST) 

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