A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks

Hyunwook Lee, Chaehun Im, Chungyong Lee

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

Abstract

We propose the novel localization method based on channel state information (CSI). The proposed method estimates range without the channel propagation model estimation by using the one-dimensional convolutional neural networks (1D CNN). The 1D CNN converts CSI measurements directly into the estimated distance, and then the location estimation is performed by the leastsquares solution. The simulation results show that the proposed method is accurate and robust to the variation in the channel propagation model.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728161648
DOIs
Publication statusPublished - 2020 Nov 1
Event2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 - Seoul, Korea, Republic of
Duration: 2020 Nov 12020 Nov 3

Publication series

Name2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

Conference

Conference2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Country/TerritoryKorea, Republic of
CitySeoul
Period20/11/120/11/3

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NFR-2019R1A2C1010950).

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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