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| Presentation | 2023-01-25 10:00 Antenna Selection Method for Improving DoA Estimation Accuracy Naotaka Hirayama, Koichi Adachi (UEC)  IT2022-51 SIP2022-102 RCS2022-230 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper focuses on a position estimation method that does not require GNSS or infrastructure equipment and can be applied to special environments such as disasters. Many position algorithms are based on the direction of arrival (DoA), and the accuracy of position estimation is greatly affected by the DoA estimation accuracy. Multiple signal classification (MUSIC) and linear prediction methods are the popular DoA estimation techniques. The MUSIC method requires information on the number of sources in advance, and minimum description length (MDL) is a typical technique to determine the number of sources. However, its estimation accuracy deteriorates in low signal-to-noise power ratio (SNR) environments. Therefore, we consider a method that improves the accuracy of DoA by antenna selection in a uniform linear array (ULA), using a linear prediction method that does not require the information of the number of sources in advance. Specifically, we propose a method that obtains the candidates of DoA estimates using all antenna elements in the ULA. Then, we select estimates from the candidate estimates using multiple antenna patterns. We show that the proposed method can improve the accuracy of DoA estimation in low SNR environments compared to conventional methods by computer simularions. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | DoA Estimation / Uniform Linear Array / Linear Prediction / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 357, RCS2022-230, pp. 126-131, Jan. 2023. | |
| Paper # | RCS2022-230 | |
| 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 | IT2022-51 SIP2022-102 RCS2022-230 |
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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 | RCS |
| 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) | Antenna Selection Method for Improving DoA Estimation Accuracy |
| Sub Title (in English) | |
| Keyword(1) | DoA Estimation |
| Keyword(2) | Uniform Linear Array |
| Keyword(3) | Linear Prediction |
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| 1st Author's Name | Naotaka Hirayama |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Koichi Adachi |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2023-01-25 10:00:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | IT2022-51, SIP2022-102, RCS2022-230 |
| Volume (vol) | vol.122 |
| Number (no) | no.355(IT), no.356(SIP), no.357(RCS) |
| Page | pp.126-131 |
| #Pages | 6 |
| Date of Issue | 2023-01-17 (IT, SIP, RCS) |
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