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| Presentation | 2020-02-20 13:50 Soft error mitigation using CNN DAE for onboard digital payload Shigenori Tani, Yasutaka Yamashita, Shigeru Uchida, Hiroshi Aruga (Mitsubishi Electric)  SAT2019-81 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | An onboard digital payload enables communication and observation satellites to improve operation flexibility by changing communication parameter settings with digital signal processing. In general, space grade digital devices are used for onboard digital processor so as to mitigate soft error caused by radiation effect. On the other hand, commercial grade devices achieve higher processing speed at a modest price than space grade devices even though less resilient, therefore it is expected to install in onboard digital payload utilizing a variety of soft error mitigation techniques. Conventionally, soft error can be mitigated utilizing TMR (Triple Modular Redundancy) and periodic refreshment. However these techniques increase circuit scale, also it is difficult to avoid burst error which caused during a refresh period. Therefore, this paper proposes novel error tolerance digital processing technique which restores distorted signals utilizing CNN DAE (Convolutional Neural Network De-noising Auto Encoder). In the proposal, CNN DAE learns a representation for a set of data by training the neural network to minimize signal noise, then the output is selected from restored signal or original signal appropriately to avoid representation error. As a result, the proposal can mitigate soft error continuously without conventional redundant circuit. The effectiveness of the proposal is verified through simulation results. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CNN DAE / Digital payload / Soft error / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 417, SAT2019-81, pp. 69-74, Feb. 2020. | |
| Paper # | SAT2019-81 | |
| Date of Issue | 2020-02-12 (SAT) | |
| 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) | |
| Download PDF | SAT2019-81 |
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| Conference Information | |
| Committee | SAT SANE |
| Conference Date | 2020-02-19 - 2020-02-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SAT |
| Conference Code | 2020-02-SAT-SANE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Soft error mitigation using CNN DAE for onboard digital payload |
| Sub Title (in English) | |
| Keyword(1) | CNN DAE |
| Keyword(2) | Digital payload |
| Keyword(3) | Soft error |
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| 1st Author's Name | Shigenori Tani |
| 1st Author's Affiliation | Mitsubishi Electric corporation (Mitsubishi Electric) |
| 2nd Author's Name | Yasutaka Yamashita |
| 2nd Author's Affiliation | Mitsubishi Electric corporation (Mitsubishi Electric) |
| 3rd Author's Name | Shigeru Uchida |
| 3rd Author's Affiliation | Mitsubishi Electric corporation (Mitsubishi Electric) |
| 4th Author's Name | Hiroshi Aruga |
| 4th Author's Affiliation | Mitsubishi Electric corporation (Mitsubishi Electric) |
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| Speaker | Author-1 |
| Date Time | 2020-02-20 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SAT |
| Paper # | SAT2019-81 |
| Volume (vol) | vol.119 |
| Number (no) | no.417 |
| Page | pp.69-74 |
| #Pages | 6 |
| Date of Issue | 2020-02-12 (SAT) |
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