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| Presentation | 2019-10-17 12:30 [Poster Presentation] Estimation of Arrival Signal Number Based on Received Power Using Machine Learning Takahiro Nosho, Koyo Tategami, Tatsuhito Hasegawa, Mitoshi Fujimoto (Univ. Fukui)  AP2019-85 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | MUSIC, AIC, MDL, etc. are examined as conventional methods for estimating the direction of arrival and the number of signals using array antenna. In these methods, complex reception vectors are used, which is composed of the amplitude and phase of the received signal at each antenna element. Therefore, components for measuring the amplitude and phase for each antenna element are required. In addition, it is expected to simplify the element configuration of antennas used in directions of arrival estimation and radio wave propagation measurement using machine learning. In this paper, we propose a method for estimating the number of incoming waves using machine learning as input data with the received power. In the proposed method, simpler circuits configuration can be used than the antenna configuration used in the conventional direction-of-arrival estimation and arrival signal number estimation. The influence of each parameter on the estimation accuracy is clarified. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine Learning / Estimation of Arrival Signal Number / Received Power / Neural Network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 228, AP2019-85, pp. 29-32, Oct. 2019. | |
| Paper # | AP2019-85 | |
| Date of Issue | 2019-10-10 (AP) | |
| 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 | AP2019-85 |
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| Conference Information | |
| Committee | AP |
| Conference Date | 2019-10-17 - 2019-10-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Student Session, Antennas and Propagation |
| Paper Information | |
| Registration To | AP |
| Conference Code | 2019-10-AP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation of Arrival Signal Number Based on Received Power Using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Estimation of Arrival Signal Number |
| Keyword(3) | Received Power |
| Keyword(4) | Neural Network |
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| 1st Author's Name | Takahiro Nosho |
| 1st Author's Affiliation | University of Fukui (Univ. Fukui) |
| 2nd Author's Name | Koyo Tategami |
| 2nd Author's Affiliation | University of Fukui (Univ. Fukui) |
| 3rd Author's Name | Tatsuhito Hasegawa |
| 3rd Author's Affiliation | University of Fukui (Univ. Fukui) |
| 4th Author's Name | Mitoshi Fujimoto |
| 4th Author's Affiliation | University of Fukui (Univ. Fukui) |
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| Speaker | Author-1 |
| Date Time | 2019-10-17 12:30:00 |
| Presentation Time | 120 minutes |
| Registration for | AP |
| Paper # | AP2019-85 |
| Volume (vol) | vol.119 |
| Number (no) | no.228 |
| Page | pp.29-32 |
| #Pages | 4 |
| Date of Issue | 2019-10-10 (AP) |
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