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Paper Abstract and Keywords
Presentation 2021-06-25 09:30
Experimental Evaluation of Frequency-domain Feature Selection for CSI-based Object Detection in Wireless LAN Systems
Kazuki Noguchi, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) RCS2021-64
Abstract (in Japanese) (See Japanese page) 
(in English) Various object detection schemes utilizing channel state information (CSI) in wireless local area network
(WLAN) systems have been investigated recently. To obtain further detection performance improvement, adopting
a proper feature selection technique is important. The authors have proposed interleaved subcarrier selection
methods for an object detection system utilizing CSI in WLAN systems, where two subcarrier selection methods,
Interleaved sampling(IS) and Interleaved clustering and sampling(ICS), are investigated. The IS method selects
some subcarriers in an interleaved manner and reduces the data size while maintaining the object detection accuracy.
In the ISC method, all subcarriers are divided into multiple clusters in an interleaved manner, and the results
of machine learning decisions for each cluster are integrated for object detection. In this article, we demonstrate
the effectiveness of the proposed approach through real-time experimental evaluations in an indoor environment
scenario. Experimental results show that the ISC method improves the object detection accuracy compared to the
case without cluster division. We also show the IS method achieve the same detection accuracy while reducing the
data size. Furthermore, we show the detection accuracy is improved by distributing the antennas.
Keyword (in Japanese) (See Japanese page) 
(in English) Object detection / channel state information / subcarrier selection / wireless LAN / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 72, RCS2021-64, pp. 202-207, June 2021.
Paper # RCS2021-64 
Date of Issue 2021-06-16 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee RCS  
Conference Date 2021-06-23 - 2021-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2021-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Evaluation of Frequency-domain Feature Selection for CSI-based Object Detection in Wireless LAN Systems 
Sub Title (in English)  
Keyword(1) Object detection  
Keyword(2) channel state information  
Keyword(3) subcarrier selection  
Keyword(4) wireless LAN  
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1st Author's Name Kazuki Noguchi  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Osamu Muta  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Tomoki Murakami  
3rd Author's Affiliation NTT Corporation (former NTT)
4th Author's Name Shinya Otsuki  
4th Author's Affiliation NTT Corporation (former NTT)
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Speaker Author-1 
Date Time 2021-06-25 09:30:00 
Presentation Time 10 minutes 
Registration for RCS 
Paper # RCS2021-64 
Volume (vol) vol.121 
Number (no) no.72 
Page pp.202-207 
#Pages
Date of Issue 2021-06-16 (RCS) 


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