Wi-Fi Sensing for Indoor Localization via Channel State Information: A Survey

Authors

  • Dwi Joko Suroso [Scopus ID:54974129600], Dep.Teknik Nuklir Dan Teknik Fisika (DTNTF) Universitas Gajah Mada, Yogyakarta
  • Farid Yuli Martin Adiyatma School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand
  • Panarat Cherntanomwong School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand

DOI:

https://doi.org/10.26418/elkha.v15i2.70830

Keywords:

wifi sensing, indoor localization, csi

Abstract

Wireless Fidelity (Wi-Fi) sensing utilization has been widespread, especially for human behavior/activity recognition. It provides high flexibility since it does not require the person/object to carry any device known as device-free. This "passive" concept is also helpful for another application of Wi-Fi sensing, i.e., indoor localization. The "sensing" is conducted using particular parameters extracted from communication links of Wi-Fi devices, i.e., channel state information (CSI). This paper explores the recent trends in CSI-based indoor localization with Wi-Fi technology as its core, including their advantages, challenges, and future directions. We found tremendous benefits can be gained by employing Wi-Fi sensing in localization supported by its performance and integrability for other intelligent systems for activity recognition.

Author Biographies

Dwi Joko Suroso, [Scopus ID:54974129600], Dep.Teknik Nuklir Dan Teknik Fisika (DTNTF) Universitas Gajah Mada, Yogyakarta

Dwi Joko Suroso joins DTNTF UGM on 2017. His

research interests including wireless communication, deep learning, IoT, indoor localization techniques, instrumentations

h-index: Scopus = 5, GS = 6

https://scholar.google.co.id/citations?user=XEn6sccAAAAJ&hl=id

Farid Yuli Martin Adiyatma, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand

https://www.linkedin.com/in/farid-yuli-martin-adiyatma-a485b5187/?originalSubdomain=id

Research AssistantResearch AssistantKing Mongkut's Institute of Technology Ladkrabang · KontrakKing Mongkut's Institute of Technology Ladkrabang · KontrakAgu 2022 - Saat ini · 1 thn 3 blnAgu 2022 - Saat ini · 1 thn 3 blnBangkok, ThailandBangkok, Thailand 
    • Indoor Localization, Machine Learning, Deep Learning, and IoT

Panarat Cherntanomwong, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand

https://www.semanticscholar.org/paper/The-improvement-of-repeater-system-for-Visible-Namonta-Cherntanomwong/6b73d04cda21a2a65413189fb2f2d094e0e8f79a

https://dblp.org/pid/94/6152.html

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Published

2023-10-23

Issue

Vol. 15 No.2 October 2023

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Vol. 15 No. 2 October 2023

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