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Paper Abstract and Keywords
Presentation 2024-03-13 16:15
DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range
Daniel Akira Ando, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.) RCS2023-266
Abstract (in Japanese) (See Japanese page) 
(in English) In this work, we propose a strategy based on deep neural networks (DNNs) intended to support our past DNN method for direction of arrival (DOA) estimation, whose performance was degraded due to radio waves with narrow DOA range. This new strategy, which leverages the great learning power of DNNs based on the available training dataset, is based on decomposition into DNNs with better angle spectra precision when the radio waves impinge at close DOAs. Through computer simulations, we have demonstrated the improvement in DOA estimation at higher SNRs and hence the viability of this new scheme that couples the proposed strategy with our past method.
Keyword (in Japanese) (See Japanese page) 
(in English) antenna array / DOA estimation / deep neural network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 434, RCS2023-266, pp. 71-76, March 2024.
Paper # RCS2023-266 
Date of Issue 2024-03-06 (RCS) 
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 RCS2023-266

Conference Information
Committee RCS SR SRW  
Conference Date 2024-03-13 - 2024-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokyo (Hongo Campus), and online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2024-03-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range 
Sub Title (in English)  
Keyword(1) antenna array  
Keyword(2) DOA estimation  
Keyword(3) deep neural network  
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1st Author's Name Daniel Akira Ando  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Toshihiko Nishimura  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takanori Sato  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Takeo Ohgane  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Yasutaka Ogawa  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
6th Author's Name Junichiro Hagiwara  
6th Author's Affiliation Mukogawa Women's University (Mukogawa Women's Univ.)
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Speaker Author-1 
Date Time 2024-03-13 16:15:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2023-266 
Volume (vol) vol.123 
Number (no) no.434 
Page pp.71-76 
#Pages 6 
Date of Issue 2024-03-06 (RCS) 

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