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Paper Abstract and Keywords
Presentation 2022-12-14 14:05
Analysis of Propeller Signal Intensity Fluctuation Based on Time Series Image of a Drone Using Millimeter-Wave MIMO Radar
Kenshi Ogawa, Masashi Kurosaki, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2022-49 ITS2022-25 RCC2022-49
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, drones have advanced rapidly and are widely used in society. However, along with their popular use, there is concern that drones are used for crime and terrorism. Therefore, demand for anti-drone systems is growing to be able to detect, identify and jam drones. We have previously proposed a 2D imaging method of a drone using a millimeter-wave (mmW) multi-input and multi-output (MIMO) radar for drone detection and identification. In this paper, we propose a method for detecting the variation of radar echo from a propeller, which is effective for identifying drones, by time-series analysis of radar images, and experimentally investigate its effectiveness. Furthermore, we also propose a method to estimate the propeller rotation speed from these fluctuations. Measurement experiments were conducted for four drone models (Matrice 600, Phantom 3, Mavic pro, Mavic mini) with different sizes and shapes.
Keyword (in Japanese) (See Japanese page) 
(in English) Millimeter-wave radar / MIMO / Radar imaging / Time series analysis / Drone / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 307, WBS2022-49, pp. 83-88, Dec. 2022.
Paper # WBS2022-49 
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 WBS2022-49 ITS2022-25 RCC2022-49

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) Analysis of Propeller Signal Intensity Fluctuation Based on Time Series Image of a Drone Using Millimeter-Wave MIMO Radar 
Sub Title (in English)  
Keyword(1) Millimeter-wave radar  
Keyword(2) MIMO  
Keyword(3) Radar imaging  
Keyword(4) Time series analysis  
Keyword(5) Drone  
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1st Author's Name Kenshi Ogawa  
1st Author's Affiliation National Defense Academy of Japan (NDA)
2nd Author's Name Masashi Kurosaki  
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 14:05:00 
Presentation Time 25 minutes 
Registration for WBS 
Paper # WBS2022-49, ITS2022-25, RCC2022-49 
Volume (vol) vol.122 
Number (no) no.307(WBS), no.308(ITS), no.309(RCC) 
Page pp.83-88 
#Pages 6 
Date of Issue 2022-12-06 (WBS, ITS, RCC) 

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