Paper Abstract and Keywords |
Presentation |
2020-12-15 10:20
Neural Network Equalizer Without Known Training Signals in OFDM without CP Kai Isaka, Teruyuki Miyajima, Yoshiki Sugitani (Ibaraki Univ.) WBS2020-23 ITS2020-19 RCC2020-26 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
OFDM / Time-domain equalizer / Neural network / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 290, WBS2020-23, pp. 85-90, Dec. 2020. |
Paper # |
WBS2020-23 |
Date of Issue |
2020-12-07 (WBS, ITS, RCC) |
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) |
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WBS2020-23 ITS2020-19 RCC2020-26 |
Conference Information |
Committee |
ITS WBS RCC |
Conference Date |
2020-12-14 - 2020-12-15 |
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. |
Paper Information |
Registration To |
WBS |
Conference Code |
2020-12-ITS-WBS-RCC |
Language |
Japanese |
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) |
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OFDM |
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Time-domain equalizer |
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Neural network |
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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.) |
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Speaker |
Author-1 |
Date Time |
2020-12-15 10:20:00 |
Presentation Time |
25 minutes |
Registration for |
WBS |
Paper # |
WBS2020-23, ITS2020-19, RCC2020-26 |
Volume (vol) |
vol.120 |
Number (no) |
no.290(WBS), no.291(ITS), no.292(RCC) |
Page |
pp.85-90 |
#Pages |
6 |
Date of Issue |
2020-12-07 (WBS, ITS, RCC) |
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