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| Presentation | 2020-11-26 09:00 Doppler Frequency Detection Using Channel Impulse Response Kazuma Hotta, Satoshi Denno, Hou Yafei (Okayama Univ.)  SRW2020-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the spread of the Internet of Things (IoT), the detection of terminal movement has become an issue. In the IoT, the user can use it while stopping or moving. Therefore, in order to provide services suitable for each situation, it is necessary to detect the movement of the terminals. In order to detect the movement of the terminal, various additional technologies are required. In this paper, we consider the method for Doppler frequency determination using only wireless communication technology with Doppler variation due to terminal movement without the additional technology. The variation amount due to Doppler is calculated from the channel impulse response obtained from the channel estimation. Then, by modeling the amount of variation with an exponential function, we detect the threshold of two Doppler frequencies and Doppler frequency. We reduce the computational cost of the Doppler frequency detection method with frequency domain equalization of the conventional method. We also show that increasing the number of sample packets is effective in the detection error characteristics. By increasing the number of sample packets from 1 to 5, the characteristic is improved by about 40% at Eb/N0 = 35[dB]. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Doppler frequency / Channel estimation / Bessel function / Cumulative distribution function / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 260, SRW2020-25, pp. 1-6, Nov. 2020. | |
| Paper # | SRW2020-25 | |
| Date of Issue | 2020-11-19 (SRW) | |
| 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 | SRW2020-25 |
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| Conference Information | |
| Committee | SRW SeMI CNR |
| Conference Date | 2020-11-26 - 2020-11-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop |
| Paper Information | |
| Registration To | SRW |
| Conference Code | 2020-11-SRW-SeMI-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Doppler Frequency Detection Using Channel Impulse Response |
| Sub Title (in English) | |
| Keyword(1) | Doppler frequency |
| Keyword(2) | Channel estimation |
| Keyword(3) | Bessel function |
| Keyword(4) | Cumulative distribution function |
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| 1st Author's Name | Kazuma Hotta |
| 1st Author's Affiliation | Okayama University (Okayama Univ.) |
| 2nd Author's Name | Satoshi Denno |
| 2nd Author's Affiliation | Okayama University (Okayama Univ.) |
| 3rd Author's Name | Hou Yafei |
| 3rd Author's Affiliation | Okayama University (Okayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-11-26 09:00:00 |
| Presentation Time | 20 minutes |
| Registration for | SRW |
| Paper # | SRW2020-25 |
| Volume (vol) | vol.120 |
| Number (no) | no.260 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2020-11-19 (SRW) |
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