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Paper Abstract and Keywords
Presentation 2022-05-13 10:45
[Short Paper] Demonstration of a direction-of-arrival estimation method based on deep learning using a uniform circular array antenna
Taichi Ohtsuji, Katsuo Miyamoto (NEC) SR2022-13
Abstract (in Japanese) (See Japanese page) 
(in English) Direction-of-arrival (DOA) estimation methods based on deep learning have attracted attention, and they have shown some advantages over non-training methods. In previous studies, models have been trained on simulated training data generated on a computer, but no evaluation using data acquired in a real environment has been conducted. In this paper, we construct an experimental system using a uniform circular array antenna to verify the DOA estimation method based on deep learning with measured data. This paper demonstrates the effectiveness of deep-learning method by evaluating the experimantal system using models trained on measured data in the 420 MHz band.
Keyword (in Japanese) (See Japanese page) 
(in English) DOA estimation / deep learning / uniform circular array (UCA) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 12, SR2022-13, pp. 58-60, May 2022.
Paper # SR2022-13 
Date of Issue 2022-05-04 (SR) 
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)
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Conference Information
Committee SR  
Conference Date 2022-05-11 - 2022-05-13 
Place (in Japanese) (See Japanese page) 
Place (in English) NICT Koganei 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Defined Radio, AI/Machine Learning, Quantum-assisted wireless communications, etc. 
Paper Information
Registration To SR 
Conference Code 2022-05-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Demonstration of a direction-of-arrival estimation method based on deep learning using a uniform circular array antenna 
Sub Title (in English)  
Keyword(1) DOA estimation  
Keyword(2) deep learning  
Keyword(3) uniform circular array (UCA)  
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1st Author's Name Taichi Ohtsuji  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Katsuo Miyamoto  
2nd Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2022-05-13 10:45:00 
Presentation Time 15 minutes 
Registration for SR 
Paper # SR2022-13 
Volume (vol) vol.122 
Number (no) no.12 
Page pp.58-60 
#Pages
Date of Issue 2022-05-04 (SR) 


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