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| Presentation | 2023-03-01 16:40 Evaluation on TFI Pilot Signal and CNN Image Identification Based on Channel Model Tomoaki Shibata, Syuji Takahashi, Yuta Ida (Yamaguchi Univ.), Sho Kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.)  CAS2022-109 CS2022-86 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In International Telecommunication Union (ITU), the wireless channel models are standardized. The channel models are consisted by the power, the time, and the number for the delay path at the time domain. On the other hand, in Rayleigh fading environments, since the amplitude is varied based on a Rayleigh distribution and the phase is varied based on an uniform distribution, the channel variance is occurred at the frequency domain. To estimate this channel variance. the pilot signals are utilized. And then, in the time frequency interferometry (TFI), the nulls signals are inserted at the frequency domain periodically, and the channel variance is estimated by a low power. Moreover, it can be used in the design for the various methods by estimating the channel model from the channel variance of the frequency domain. Therefore, in this paper, we study the design for the TFI pilot signal applying the channel model, and the identification from the image of the channel variance by the convolutional neural network (CNN). | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Channel model / TFI / CNN / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 397, CS2022-86, pp. 77-82, March 2023. | |
| Paper # | CS2022-86 | |
| Date of Issue | 2023-02-22 (CAS, CS) | |
| 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 | CAS2022-109 CS2022-86 |
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| Conference Information | |
| Committee | CAS CS |
| Conference Date | 2023-03-01 - 2023-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kitakyushu International Conference Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2023-03-CAS-CS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation on TFI Pilot Signal and CNN Image Identification Based on Channel Model |
| Sub Title (in English) | |
| Keyword(1) | Channel model |
| Keyword(2) | TFI |
| Keyword(3) | CNN |
| Keyword(4) | |
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| 1st Author's Name | Tomoaki Shibata |
| 1st Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 2nd Author's Name | Syuji Takahashi |
| 2nd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 3rd Author's Name | Yuta Ida |
| 3rd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 4th Author's Name | Sho Kuroda |
| 4th Author's Affiliation | FX Systems Corporation (FX Systems) |
| 5th Author's Name | Takahiro Matsumoto |
| 5th Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
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| Speaker | Author-3 |
| Date Time | 2023-03-01 16:40:00 |
| Presentation Time | 25 minutes |
| Registration for | CS |
| Paper # | CAS2022-109, CS2022-86 |
| Volume (vol) | vol.122 |
| Number (no) | no.396(CAS), no.397(CS) |
| Page | pp.77-82 |
| #Pages | 6 |
| Date of Issue | 2023-02-22 (CAS, CS) |
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