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Paper Abstract and Keywords
Presentation 2022-12-14 11:30
A fundamental study of a drone classification method applying CNN to range and Doppler images obtained by a millimeter-wave fast chirp MIMO radar
Masashi Kurosaki, Kenshi Ogawa, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2022-46 ITS2022-22 RCC2022-46
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method to classifying various drones from range profile and micro Doppler images of a drone obtained by a millimeter-wave fast chirp MIMO radar by using a convolutional neural network (CNN) model. We investigate the classification performance for four types of drones with different shapes, sizes, and the number of rotor blades (Matrice 600, Phantom3, Mavic pro, and Mavic mini) and radio-controlled flapping bird (Bionic bird). As a result, we have confirmed that our proposed method can classified each target with high accuracy of 94.7 % or more.
Keyword (in Japanese) (See Japanese page) 
(in English) Millimeter-wave radar / fast chirp modulation / drone classification / micro doppler / deep learning / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 307, WBS2022-46, pp. 65-70, Dec. 2022.
Paper # WBS2022-46 
Date of Issue 2022-12-06 (WBS, ITS, RCC) 
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 WBS2022-46 ITS2022-22 RCC2022-46

Conference Information
Committee RCC ITS WBS  
Conference Date 2022-12-13 - 2022-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ritsumeikan Univ. BKC 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WBS 
Conference Code 2022-12-RCC-ITS-WBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A fundamental study of a drone classification method applying CNN to range and Doppler images obtained by a millimeter-wave fast chirp MIMO radar 
Sub Title (in English)  
Keyword(1) Millimeter-wave radar  
Keyword(2) fast chirp modulation  
Keyword(3) drone classification  
Keyword(4) micro doppler  
Keyword(5) deep learning  
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1st Author's Name Masashi Kurosaki  
1st Author's Affiliation National Defense Academy of Japan (NDA)
2nd Author's Name Kenshi Ogawa  
2nd Author's Affiliation National Defense Academy of Japan (NDA)
3rd Author's Name Ryohei Nakamura  
3rd Author's Affiliation National Defense Academy of Japan (NDA)
4th Author's Name Hisaya Hadama  
4th Author's Affiliation National Defense Academy of Japan (NDA)
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Speaker Author-1 
Date Time 2022-12-14 11:30:00 
Presentation Time 25 minutes 
Registration for WBS 
Paper # WBS2022-46, ITS2022-22, RCC2022-46 
Volume (vol) vol.122 
Number (no) no.307(WBS), no.308(ITS), no.309(RCC) 
Page pp.65-70 
#Pages 6 
Date of Issue 2022-12-06 (WBS, ITS, RCC) 

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