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Paper Abstract and Keywords
Presentation 2023-01-24 16:20
Underdetermined DOA Estimation of Correlated Signals Using Atomic Norm Minimization
Soichi Obata, Steven Wandale, Koichi Ichige (Yokohama Nat'l Univ.) IT2022-50 SIP2022-101 RCS2022-229
Abstract (in Japanese) (See Japanese page) 
(in English) This paper discusses the underdetermined Direction-of-Arrival (DOA) estimation of correlated sources where the number of sources exceeds the number sensors using Atomic Norm Minimization (ANM) and sparse arrays. Traditionally, the underdetermined DOA estimation of uncorrelated sources problem is tackled by improving the degrees of freedom (DOFs) of sparse array coarray. However, when sources are correlated, it is difficult to create a correct difference coarray due to the influence of mutual correlation, hence, DOA estimation is not possible. Interestingly, even under correlated sources, the ANM can be used to realize a Toeplitz matrix with phase information equivalent to the correlation matrix of uncorrelated sources. Therefore, we propose a method via ANM that mimics the difference coarray of a sparse array thereby achieving underdetermined DOA estimation of correlated sources. Simulation examples demonstrate the superiority of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) DOA estimation / correlated sources / sparse array / atomic norm minimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 356, SIP2022-101, pp. 120-125, Jan. 2023.
Paper # SIP2022-101 
Date of Issue 2023-01-17 (IT, SIP, 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 IT2022-50 SIP2022-101 RCS2022-229

Conference Information
Committee IT RCS SIP  
Conference Date 2023-01-24 - 2023-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Maebashi Terrsa 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2023-01-IT-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Underdetermined DOA Estimation of Correlated Signals Using Atomic Norm Minimization 
Sub Title (in English)  
Keyword(1) DOA estimation  
Keyword(2) correlated sources  
Keyword(3) sparse array  
Keyword(4) atomic norm minimization  
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1st Author's Name Soichi Obata  
1st Author's Affiliation Yokohama National University (Yokohama Nat'l Univ.)
2nd Author's Name Steven Wandale  
2nd Author's Affiliation Yokohama National University (Yokohama Nat'l Univ.)
3rd Author's Name Koichi Ichige  
3rd Author's Affiliation Yokohama National University (Yokohama Nat'l Univ.)
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Speaker Author-1 
Date Time 2023-01-24 16:20:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # IT2022-50, SIP2022-101, RCS2022-229 
Volume (vol) vol.122 
Number (no) no.355(IT), no.356(SIP), no.357(RCS) 
Page pp.120-125 
#Pages 6 
Date of Issue 2023-01-17 (IT, SIP, RCS) 

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