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All Journal ELKHA : Jurnal Teknik Elektro
Farid Yuli Martin Adiyatma
School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering

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Wi-Fi Sensing for Indoor Localization via Channel State Information: A Survey Dwi Joko Suroso; Farid Yuli Martin Adiyatma; Panarat Cherntanomwong
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.70830

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.
Co-Authors Dwi Joko Suroso Panarat Cherntanomwong