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| Presentation | 2020-02-19 10:50 Signal Subspace Classification Framework for Small UAV Surveillance Ryoma Yataka, Kazuki Hirashima, Takafumi Matsuda, Tai Tanaka, Masato Gocho, Masashi Shiraishi (MELCO)  SANE2019-99 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we focus on the classification problem of small radar targets. Persistent monitoring of a radar target requires an algorithm with low-computational cost and high-accuracy classification. To achieve this, we propose a radar based UAV classification framework that integrates signal detection by a subspace-updating method with projection metric learning on a Grassmann manifold. The proposed method was demonstrated through experiments using a five UAVs data set collected from continuous wave (CW) radar and exhibiting up to 4.28 points higher-accuracy and 93 times faster than the conventional method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | radar-based UAV classification / micro-Doppler / subspace-updating method / projection metric learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 416, SANE2019-99, pp. 13-18, Feb. 2020. | |
| Paper # | SANE2019-99 | |
| Date of Issue | 2020-02-12 (SANE) | |
| 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 | SANE2019-99 |
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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 | SANE |
| Conference Code | 2020-02-SAT-SANE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Signal Subspace Classification Framework for Small UAV Surveillance |
| Sub Title (in English) | |
| Keyword(1) | radar-based UAV classification |
| Keyword(2) | micro-Doppler |
| Keyword(3) | subspace-updating method |
| Keyword(4) | projection metric learning |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Ryoma Yataka |
| 1st Author's Affiliation | Mitsubishi Electric Corporation (MELCO) |
| 2nd Author's Name | Kazuki Hirashima |
| 2nd Author's Affiliation | Mitsubishi Electric Corporation (MELCO) |
| 3rd Author's Name | Takafumi Matsuda |
| 3rd Author's Affiliation | Mitsubishi Electric Corporation (MELCO) |
| 4th Author's Name | Tai Tanaka |
| 4th Author's Affiliation | Mitsubishi Electric Corporation (MELCO) |
| 5th Author's Name | Masato Gocho |
| 5th Author's Affiliation | Mitsubishi Electric Corporation (MELCO) |
| 6th Author's Name | Masashi Shiraishi |
| 6th Author's Affiliation | Mitsubishi Electric Corporation (MELCO) |
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| Speaker | Author-1 |
| Date Time | 2020-02-19 10:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SANE |
| Paper # | SANE2019-99 |
| Volume (vol) | vol.119 |
| Number (no) | no.416 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2020-02-12 (SANE) |
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