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Paper Abstract and Keywords
Presentation 2024-01-15 11:10
PNN based Multiuser Localization over Wireless Environments using Leaky Coaxial Cables
Erika Koda, Yafei Hou, Yusuke Kawai, Satoshi Denno (Okayama Univ.) SRW2023-39
Abstract (in Japanese) (See Japanese page) 
(in English) With the coming of IoT era which considers the wireless access from huge number of smart IoT devices, how to localize multiuser localization simultaneously becomes challenge and important research topic especially for indoor scenario-based applications such as manufacturing, robotics, and healthcare. This paper will investigate the localization accuracy of probabilistic neural network (PNN) based simultaneous localization method for wireless environments using leaky coaxial cables (LCX). The PNN can learn the relationship between the locations information of multiple users and their time of arrivals (TOAs) at both sides of LCX. With the optimized weight for all neurons, it can predict the new location results with input values of TOAs. The evaluated results show that the proposal using PNN has a promising localization accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) LCX / Time difference of arrival / TOA / Multiple signal classification / PNN / Geometrically based single bounce - multiple input and output / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 331, SRW2023-39, pp. 2-7, Jan. 2024.
Paper # SRW2023-39 
Date of Issue 2024-01-08 (SRW) 
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 SRW2023-39

Conference Information
Committee SRW  
Conference Date 2024-01-15 - 2024-01-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) WLAN， WPAN， Sensor Networks， mmWave, etc. 
Paper Information
Registration To SRW 
Conference Code 2024-01-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) PNN based Multiuser Localization over Wireless Environments using Leaky Coaxial Cables 
Sub Title (in English)  
Keyword(1) LCX  
Keyword(2) Time difference of arrival  
Keyword(3) TOA  
Keyword(4) Multiple signal classification  
Keyword(5) PNN  
Keyword(6) Geometrically based single bounce - multiple input and output  
Keyword(7)  
Keyword(8)  
1st Author's Name Erika Koda  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Yafei Hou  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Yusuke Kawai  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Satoshi Denno  
4th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2024-01-15 11:10:00 
Presentation Time 25 minutes 
Registration for SRW 
Paper # SRW2023-39 
Volume (vol) vol.123 
Number (no) no.331 
Page pp.2-7 
#Pages 6 
Date of Issue 2024-01-08 (SRW) 

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