Performance evaluation of object detection utilizing channel state information in wireless LAN systems with distributed antennas

Keisuke Takata, Osamu Muta, Tomoki Murakami, Shinya Otsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we investigate a machine learning based object detection scheme utilizing channel state information (CSI) in wireless local area network (WLAN) systems with multiple distributed antennas, and evaluate the impact of antenna placement on achieved detection probability, where CSI frames captured from nearby wireless devices are used for machine learning based object detection. To improve the objective detection accuracy, we also investigate a method to distribute transmit and receive antennas in a target area for acquiring sufficient amount of CSI, where support vector machine (SVM) is used as a supervised machine learning algorithm. For performance evaluation, we used compressed CSI specified in IEEE 802.11ac standard and conduct a ray-tracing simulation in an indoor propagation environment for analyzing data and detecting a target object. Simulation results show that object detection probability can be improved by properly distributing antenna elements in a target area.

Original languageEnglish
Title of host publicationWPMC 2020 - 23rd International Symposium on Wireless Personal Multimedia Communications
Subtitle of host publicationBridging Wireless and Business Worlds
PublisherIEEE Computer Society
ISBN (Electronic)9781728182964
DOIs
Publication statusPublished - Oct 19 2020
Event23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020 - Virtual, Okayama, Japan
Duration: Oct 19 2020Oct 26 2020

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2020-October
ISSN (Print)1347-6890

Conference

Conference23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020
CountryJapan
CityVirtual, Okayama
Period10/19/2010/26/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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