A Survey of Wi-Fi Sensing Techniques with Channel State Information

doi:10.12142/ZTECOM.202003009

ZTE Communications ›› 2020, Vol. 18 ›› Issue (3): 57-63.DOI: 10.12142/ZTECOM.202003009

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A Survey of Wi-Fi Sensing Techniques with Channel State Information

CHEN Liangqin¹, TIAN Liping¹, XU Zhimeng¹, CHEN Zhizhang^1,²()

^1.College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
^2.Department of Electrical and Computer Engineering, Dalhousie University, Halifax B3H 4R2, Canada

Received:2020-07-14 Online:2020-09-25 Published:2020-11-03
About author:CHEN Liangqin received the Ph.D. degree in communication and information systems from Fuzhou University, China in 2018. Since 2005, she has undertaken teaching and research work at Fuzhou University. Her research interests include wireless signal transmission, wireless sensing and detection.|TIAN Liping received the Master’s degree in communication and information systems from Fuzhou University, China in 2013. She is currently pursuing the Ph.D. degree at Fuzhou University. Her research interests include wireless signal transmission and sensing.|XU Zhimeng received the B.Sc. degree in radio physics from Lanzhou University, China in 2002, the M.Sc. and Ph.D. degrees in information and communication engineering from Xidian University and Fuzhou University in 2005 and 2013, respectively. He was with the Department of Electrical and Computer Engineering at Dalhousie University, Canada as a postdoctoral fellow from 2016 to 2017 and was a visiting scholar with the Department of Technology at the University of Northern Iowa， USA from 2011 to 2012. His research interests include ultra-wideband technologies, wireless sensing technologies, and wireless information & power transfer technologies.|CHEN Zhizhang (chen@dal.ca) received the B. Eng. degree in radio engineering from Fuzhou University, China, the Master’s degree in radio engineering from Southeast University, China, and the Ph.D. degree in electrical engineering from the University of Ottawa, Canada. He is a professor and the former Head of the Department of Electrical and Computer Engineering, Dalhousie University, Canada. He has authored and co-authored over 450 journal and conference papers in computational electromagnetics, RF/microwave electronics, antennas and wireless technologies. He is the Fellow of the IEEE, the Canadian Academy of Engineering and the Engineering Institute of Canada.
Supported by:
National Natural Science Foundation of China (NSFC)(61401100);Natural Science Foundation of Fujian Province(2018J01805);Youth Research Project of Fujian Provincial Department of Education(JAT190011);Fuzhou University Scientific Research Fund Project(GXRC-18074)

Abstract

Abstract:

A review of signal processing algorithms employing Wi-Fi signals for positioning and recognition of human activities is presented. The principles of how channel state information (CSI) is used and how the Wi-Fi sensing systems operate are reviewed. It provides a brief introduction to the algorithms that perform signal processing, feature extraction and recognitions, including location, activity recognition, physiological signal detection and personal identification. Challenges and future trends of Wi-Fi sensing are also discussed in the end.

Key words: Wi-Fi sensing, channel state information, signal processing, classifications, feature extraction, positioning, location, recognitions

CHEN Liangqin, TIAN Liping, XU Zhimeng, CHEN Zhizhang. A Survey of Wi-Fi Sensing Techniques with Channel State Information[J]. ZTE Communications, 2020, 18(3): 57-63.

Figures/Tables 5

Figure 1 Processing flow chart of a Wi-Fi sensing system.

Figure 2 Illustration of the Widar tracking results presented in Ref. [15].

Figure 3 Typical signal variations and features of activity recognitions.

Figure 4 Recurrence plot of different subcarriers.

Figure 5 Respiration and heartbeat rate sensing of human in walking.

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A Survey of Wi-Fi Sensing Techniques with Channel State Information

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