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Paper Abstract and Keywords
Presentation 2018-05-14 13:15
Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis
Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-MUSIC is utilized for the estimation of the direction of arrival, the measurements could be unresolved randomly, since echoes of the dense targets are strongly correlated. In target tracking, the unresolved measurements degrade multiple target tracking performance, due to multiple tracks updated using the same unresolved measurement. The proposed method employs EM algorithm to resolve the measurement only when the measurement is unresolved. In EM algorithm, we use the mean values of the targets’ predictive distribution as the initial value. Therefore, the proposed method can improve tracking performance since each target is updated by the resolved measurement. Through the experiment which simulates two closely spaced targets moving toward the radar, we confirmed the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Radar / Multiple Target Tracking / Super-resolution Direction-of-Arrival / Unresolved Measurement / Expectation Maximization algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 28, SANE2018-6, pp. 29-34, May 2018.
Paper # SANE2018-6 
Date of Issue 2018-05-07 (SANE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SANE  
Conference Date 2018-05-14 - 2018-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radar, EW and general 
Paper Information
Registration To SANE 
Conference Code 2018-05-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis 
Sub Title (in English)  
Keyword(1) Radar  
Keyword(2) Multiple Target Tracking  
Keyword(3) Super-resolution Direction-of-Arrival  
Keyword(4) Unresolved Measurement  
Keyword(5) Expectation Maximization algorithm  
Keyword(6)  
Keyword(7)  
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1st Author's Name Masanari Nakamura  
1st Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
2nd Author's Name Tetsutaro Yamada  
2nd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
3rd Author's Name Yasushi Obata  
3rd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
4th Author's Name Hiroshi Kameda  
4th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
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Speaker
Date Time 2018-05-14 13:15:00 
Presentation Time 25 
Registration for SANE 
Paper # IEICE-SANE2018-6 
Volume (vol) IEICE-118 
Number (no) no.28 
Page pp.29-34 
#Pages IEICE-6 
Date of Issue IEICE-SANE-2018-05-07 


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