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Paper Abstract and Keywords
Presentation 2023-03-02 16:10
A Study on Wi-Fi Localization using CSI Toward Multiple APs and CNN
Shohei Omoto, Hiroyuki Yomo (ATR/Kansai Univ.), Yoshihisa Kondo, Takahiro Miyashita (ATR) NS2022-208
Abstract (in Japanese) (See Japanese page) 
(in English) A method for estimating the location of a station (STA) in an indoor environment has been proposed, which utilizes Wi-Fi Channel State Information (CSI) and Convolutional Neural Network (CNN). In this method, highly accurate localization is achieved by inputting the acquired CSI into the CNN as image information, however, if the propagation environment changes between the training phase and estimation phase, its accuracy largely deteriorates.
In order to address this problem, in this paper, we focus on the localization method exploiting multiple Access Points (APs). The exploitation of multiple APs leads to a spatial diversity, which has a potential to provide robust localization against changes in the propagation environment over training and estimation phases. In this paper, we investigate the accuracy of localization using Wi-Fi CSI and CNN for multiple APs in an indoor environment through experiments. Especially, we introduce different methods to integrate the estimation result of each AP with different weights considering their uncertainty, and verify the effectiveness of each method on improving the localization error.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor / Wi-Fi localization / Wi-Fi CSI / CNN / Uncertainty estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 406, NS2022-208, pp. 233-238, March 2023.
Paper # NS2022-208 
Date of Issue 2023-02-23 (NS) 
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 NS2022-208

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Wi-Fi Localization using CSI Toward Multiple APs and CNN 
Sub Title (in English)  
Keyword(1) Indoor  
Keyword(2) Wi-Fi localization  
Keyword(3) Wi-Fi CSI  
Keyword(4) CNN  
Keyword(5) Uncertainty estimation  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shohei Omoto  
1st Author's Affiliation Advanced Telecommunications Research Institute International/Kansai University (ATR/Kansai Univ.)
2nd Author's Name Hiroyuki Yomo  
2nd Author's Affiliation Advanced Telecommunications Research Institute International/Kansai University (ATR/Kansai Univ.)
3rd Author's Name Yoshihisa Kondo  
3rd Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
4th Author's Name Takahiro Miyashita  
4th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
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Speaker Author-1 
Date Time 2023-03-02 16:10:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2022-208 
Volume (vol) vol.122 
Number (no) no.406 
Page pp.233-238 
#Pages 6 
Date of Issue 2023-02-23 (NS) 

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