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Paper Abstract and Keywords
Presentation 2023-10-19 10:00
[Poster Presentation] Preliminary Study of Angle-of-Arrival based Indoor Localization Methods using Distributed MIMO Sensors
Koularp Thongsavanh, Togo Ikegami, Minseok Kim (Niigata Univ.) AP2023-91
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the proliferation of smart devices, the Internet of Things (IoT), and the increasing need for seamless indoor navigation have sparked significant interest in indoor localization technologies. Among these, angle-of-arrival-based (AOA-based) methods have emerged as a promising approach. The Multiple Signal Classification (MUSIC) algorithm plays a pivotal role in AOA-based techniques, providing effective AOA estimation even in complex indoor environments. This research aims to develop an AOA-based indoor active localization system. This article presents preliminary findings, including a system model description and localization performance evaluation. These results are derived from simulations conducted in an empty room with four sensor nodes, each equipped with an antenna array. The insights gained from this study lay the foundation for further advancements in indoor localization, addressing the demands of the evolving landscape of smart indoor environments.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor localization / Localization / Angle-of-arrival / Multiple Signal Classification algorithm / Multipath propagation / Ray tracing / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 223, AP2023-91, pp. 19-24, Oct. 2023.
Paper # AP2023-91 
Date of Issue 2023-10-12 (AP) 
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 AP2023-91

Conference Information
Committee AP  
Conference Date 2023-10-19 - 2023-10-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Iwate University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Student Session, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2023-10-AP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Preliminary Study of Angle-of-Arrival based Indoor Localization Methods using Distributed MIMO Sensors 
Sub Title (in English)  
Keyword(1) Indoor localization  
Keyword(2) Localization  
Keyword(3) Angle-of-arrival  
Keyword(4) Multiple Signal Classification algorithm  
Keyword(5) Multipath propagation  
Keyword(6) Ray tracing  
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Keyword(8)  
1st Author's Name Koularp Thongsavanh  
1st Author's Affiliation Niigata University (Niigata Univ.)
2nd Author's Name Togo Ikegami  
2nd Author's Affiliation Niigata University (Niigata Univ.)
3rd Author's Name Minseok Kim  
3rd Author's Affiliation Niigata University (Niigata Univ.)
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Speaker Author-1 
Date Time 2023-10-19 10:00:00 
Presentation Time 120 minutes 
Registration for AP 
Paper # AP2023-91 
Volume (vol) vol.123 
Number (no) no.223 
Page pp.19-24 
#Pages 6 
Date of Issue 2023-10-12 (AP) 

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