Paper Abstract and Keywords |
Presentation |
2018-12-06 14:00
A study of LLR modulation using neural network decision Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (Niigata Tech.), Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.) MRIS2018-21 Link to ES Tech. Rep. Archives: MRIS2018-21 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In our previous research, we focused on a log-likelihood ratio (LLR) computed as the decoding reliability by a posteriori probability (APP) decoder for low-density parity-check (LDPC) coding and iterative decoding in shingled magnetic recording (SMR), and showed that an effective iterative decoding can be realized by modulating the LLR with a high possibility of correct decoding. In this report, we propose the LLR modulator which discriminates LLRs of APP decoder output using neural network and modulates the LLR whose results by the neural network accord with those of hard decision. Furthermore, we study the performance improvement of the iterative decoding. The result shows that the correct LLRs can be selected and modulated with higher probability and an effective iterative decoding can be performed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
SMR / LDPC / LLR / Neural network / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 347, MRIS2018-21, pp. 7-12, Dec. 2018. |
Paper # |
MRIS2018-21 |
Date of Issue |
2018-11-29 (MRIS) |
ISSN |
Print edition: ISSN 0913-5685 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) |
Download PDF |
MRIS2018-21 Link to ES Tech. Rep. Archives: MRIS2018-21 |
Conference Information |
Committee |
MRIS ITE-MMS |
Conference Date |
2018-12-06 - 2018-12-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Ehime University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Signal Processing and Others |
Paper Information |
Registration To |
MRIS |
Conference Code |
2018-12-MRIS-MMS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study of LLR modulation using neural network decision |
Sub Title (in English) |
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Keyword(1) |
SMR |
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LDPC |
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LLR |
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Neural network |
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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 Institude of Technology (Niigata Tech.) |
4th Author's Name |
Hisashi Osawa |
4th Author's Affiliation |
Ehime University (Ehime Univ.) |
5th Author's Name |
Yoshihiro Okamoto |
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Ehime University (Ehime Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-12-06 14:00:00 |
Presentation Time |
30 minutes |
Registration for |
MRIS |
Paper # |
MRIS2018-21 |
Volume (vol) |
vol.118 |
Number (no) |
no.347 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2018-11-29 (MRIS) |