Presentation 2020-12-15
Neural Network Equalizer Without Known Training Signals in OFDM without CP
Kai Isaka, Teruyuki Miyajima, Yoshiki Sugitani,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a time-domain equalizer using a neural network without known training signals for OFDM systems without CP. By adjusting trainable parameters of the neural network to minimize the output energy, the proposed equalizer can suppress inter-symbol interference while the desired signal component is kept unchanged. Unlike the most existing machine learning-based schemes, the proposed equalizer using no known training signals can prevent frequency efficiency degradation due to the transmission of known training signals and inserting CP. Simulation results show that the proposed equalizer can train successfully without known training signals, and it is superior BER performance to the machine-learning-based previous equalizer and the linear MMSE equalizer.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) OFDM / Time-domain equalizer / Neural network
Paper # WBS2020-23,ITS2020-19,RCC2020-26
Date of Issue 2020-12-07 (WBS, ITS, RCC)

Conference Information
Committee ITS / WBS / RCC
Conference Date 2020/12/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) ITS Communications, Reliable Communication and Control, Radar and Sensing, etc.
Chair Tomotaka Wada(Kansai Univ.) / Masanori Hamamura(Kochi Univ. of Tech.) / HUAN-BANG LI(NICT)
Vice Chair Yusuke Takatori(Kanagawa Inst. of Tech.) / Hiroyuki Hatano(Mie Univ.) / Takashi Shono(INTEL) / Masahiro Fujii(Utsunomiya Univ.) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.)
Secretary Yusuke Takatori(Univ. of Tokyo) / Hiroyuki Hatano(Akita Prefectural Univ.) / Takashi Shono(Okayama Univ. of Science) / Masahiro Fujii(National Defence Academy) / Shunichi Azuma(CRIEPI) / Koji Ishii(Osaka Univ.)
Assistant Msataka Imao(Mitsubishi Electric) / Yanlei Gu(Ritsumeikan Univ.) / Kenshi Saho(Toyama Prefectural Univ.) / Duong Quang Thang(NAIST) / Masafumi Moriyama(NICT) / Masayuki Kinoshita(Chiba Univ. of Tech.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.)

Paper Information
Registration To Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Wideband System / Technical Committee on Reliable Communication and Control
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neural Network Equalizer Without Known Training Signals in OFDM without CP
Sub Title (in English)
Keyword(1) OFDM
Keyword(2) Time-domain equalizer
Keyword(3) Neural network
1st Author's Name Kai Isaka
1st Author's Affiliation Ibaraki University(Ibaraki Univ.)
2nd Author's Name Teruyuki Miyajima
2nd Author's Affiliation Ibaraki University(Ibaraki Univ.)
3rd Author's Name Yoshiki Sugitani
3rd Author's Affiliation Ibaraki University(Ibaraki Univ.)
Date 2020-12-15
Paper # WBS2020-23,ITS2020-19,RCC2020-26
Volume (vol) vol.120
Number (no) WBS-290,ITS-291,RCC-292
Page pp.pp.85-90(WBS), pp.85-90(ITS), pp.85-90(RCC),
#Pages 6
Date of Issue 2020-12-07 (WBS, ITS, RCC)