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 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) |
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RCS2021-64 |
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) |
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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 |
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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 |
6 |
Date of Issue |
2021-06-16 (RCS) |
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