Presentation 2020-10-22
Basic study of electromagnetic noise waveform extraction using independent component analysis
Nao Takahashi, Shinobu Ishigami, Ken Kawamata,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Python / Independent Component Analysis (ICA) / Electromagnetic noise waveform / 5G mobiles
Paper # EMCJ2020-28,MW2020-42,EST2020-30
Date of Issue 2020-10-15 (EMCJ, MW, EST)

Conference Information
Committee MW / EST / EMCJ / IEE-EMC
Conference Date 2020/10/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yoshinori Kogami(Utsunomiya Univ.) / Shinichiro Ohnuki(Nihon Univ.) / Kensei Oh(Nagoya Inst. of Tech.)
Vice Chair Tadashi Kawai(Univ. of Hyogo) / Kensuke Okubo(Okayama Prefectural Univ.) / Shintaro Shinjo(Mitsubishi Electric) / Masayuki Kimishima(Advantest) / Jun Shibayama(Hosei Univ.) / Yasuhide Tsuji(Muroran Inst. of Tech.) / Atsuhiro Nishikata(Tokyo Inst. of Tech.)
Secretary Tadashi Kawai(Fujitsu Labs.) / Kensuke Okubo(Saitama Univ.) / Shintaro Shinjo(Aoyama Gakuin Univ.) / Masayuki Kimishima(ENRI) / Jun Shibayama(Denso) / Yasuhide Tsuji(NAIST) / Atsuhiro Nishikata
Assistant Kyoya Takano(Tokyo Univ. of Science) / Naoki Hasegawa(Softbank) / Hidenori Ishibashi(MitsubishiElectric) / Seiya Kishimoto(Nihon Univ.) / Nami Sasaki(Seiwa Electric MFG) / Hiroyoshi Shida(Tokin EMC Engineering) / Sho Muroga(Akita Univ.)

Paper Information
Registration To Technical Committee on Microwaves / Technical Committee on Electronics Simulation Technology / Technical Committee on Electromagnetic Compatibility / Technical Meeting on Electromagnetic Compatibility
Language JPN
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
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)
Date 2020-10-22
Paper # EMCJ2020-28,MW2020-42,EST2020-30
Volume (vol) vol.120
Number (no) EMCJ-199,MW-200,EST-201
Page pp.pp.20-24(EMCJ), pp.20-24(MW), pp.20-24(EST),
#Pages 5
Date of Issue 2020-10-15 (EMCJ, MW, EST)