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| 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 |
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| 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 |
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| 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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