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

Hyunwook Lee; Chaehun Im; Chungyong Lee

doi:10.1109/ICCE-Asia49877.2020.9277486

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

Hyunwook Lee, Chaehun Im, Chungyong Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728161648
DOIs	https://doi.org/10.1109/ICCE-Asia49877.2020.9277486
Publication status	Published - 2020 Nov 1
Event	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 - Seoul, Korea, Republic of Duration: 2020 Nov 1 → 2020 Nov 3

Publication series

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

Conference

Conference	2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020
Country/Territory	Korea, Republic of
City	Seoul
Period	20/11/1 → 20/11/3

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

Access to Document

10.1109/ICCE-Asia49877.2020.9277486

Cite this

Lee, H., Im, C., & Lee, C. (2020). A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks. In 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 [9277486] (2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Asia49877.2020.9277486

Lee, Hyunwook ; Im, Chaehun ; Lee, Chungyong. / A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks. 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020).

@inproceedings{797ce0a190844de9a6699156f0680ce2,

title = "A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks",

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.",

author = "Hyunwook Lee and Chaehun Im and Chungyong Lee",

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: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020 ; Conference date: 01-11-2020 Through 03-11-2020",

year = "2020",

month = nov,

day = "1",

doi = "10.1109/ICCE-Asia49877.2020.9277486",

language = "English",

series = "2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020",

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}

Lee, H, Im, C & Lee, C 2020, A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks. in 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020., 9277486, 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020, Seoul, Korea, Republic of, 20/11/1. https://doi.org/10.1109/ICCE-Asia49877.2020.9277486

A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks. / Lee, Hyunwook; Im, Chaehun; Lee, Chungyong.
2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9277486 (2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks

AU - Lee, Hyunwook

AU - Im, Chaehun

AU - Lee, Chungyong

N1 - 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.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - 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.

AB - 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.

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U2 - 10.1109/ICCE-Asia49877.2020.9277486

DO - 10.1109/ICCE-Asia49877.2020.9277486

M3 - Conference contribution

AN - SCOPUS:85098866042

T3 - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020

Y2 - 1 November 2020 through 3 November 2020

ER -

Lee H, Im C, Lee C. A Channel State Information-Based Localization using One-dimensional Convolutional Neural Networks. In 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9277486. (2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020). doi: 10.1109/ICCE-Asia49877.2020.9277486

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

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