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Paper Abstract and Keywords
Presentation 2020-12-03 16:00
A study on iterative decoding using neural network in SMR system
Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (NIT), Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.) MRIS2020-10
Abstract (in Japanese) (See Japanese page) 
(in English) We study the low-density parity-check (LDPC) coding and iterative decoding system by signal processing for the shingled magnetic recording (SMR) in two-dimensional magnetic recording (TDMR). In our previous research, we have reported waveform equalization using a two-dimensional finite impulse response (TD-FIR) filter and an inter-track interference (ITI) canceler and showed reducing the influence of ITI. In this paper, we propose a neural network detector with the functions of waveform equalization and iterative decoding. The neural network detector calculates the log-likelihood ratio (LLR) as the decoding reliability to pass the SP decoder for iterative decoding by the three reproduced waveforms from the decoding target track and the adjacent tracks, and the replica of the reproduced waveform from the decoding target track estimated from the returned sum-product (SP) decoder output sequence. Furthermore, we compare the iterative decoding using a neural network detector with that using TD-FIR filter and a posteriori probability (APP) decoder.
Keyword (in Japanese) (See Japanese page) 
(in English) SMR / LDPC / Neural network / Iterative decoding / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 274, MRIS2020-10, pp. 26-31, Dec. 2020.
Paper # MRIS2020-10 
Date of Issue 2020-11-26 (MRIS) 
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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Conference Information
Committee MRIS ITE-MMS  
Conference Date 2020-12-03 - 2020-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing and Others 
Paper Information
Registration To MRIS 
Conference Code 2020-12-MRIS-MMS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on iterative decoding using neural network in SMR system 
Sub Title (in English)  
Keyword(1) SMR  
Keyword(2) LDPC  
Keyword(3) Neural network  
Keyword(4) Iterative decoding  
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1st Author's Name Madoka Nishikawa  
1st Author's Affiliation Ehime University (Ehime Univ.)
2nd Author's Name Yasuaki Nakamura  
2nd Author's Affiliation Ehime University (Ehime Univ.)
3rd Author's Name Yasushi Kanai  
3rd Author's Affiliation Niigata Institute of Technology (NIT)
4th Author's Name Hisashi Osawa  
4th Author's Affiliation Ehime University (Ehime Univ.)
5th Author's Name Yoshihiro Okamoto  
5th Author's Affiliation Ehime University (Ehime Univ.)
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Speaker Author-1 
Date Time 2020-12-03 16:00:00 
Presentation Time 25 minutes 
Registration for MRIS 
Paper # MRIS2020-10 
Volume (vol) vol.120 
Number (no) no.274 
Page pp.26-31 
#Pages 6 
Date of Issue 2020-11-26 (MRIS) 

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