Presentation | 2020-12-15 Neural Network Equalizer Without Known Training Signals in OFDM without CP Kai Isaka, Teruyuki Miyajima, Yoshiki Sugitani, |
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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 |
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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 |
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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) |