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

被引：2
|
作者：
CHEN Liangqin [1 ]
TIAN Liping [1 ]
XU Zhimeng [1 ]
CHEN Zhizhang [1 ,2 ]
机构：
[1] College of Physics and Information Engineering, Fuzhou University
[2] Department of Electrical and Computer Engineering, Dalhousie University
来源：
ZTE Communications | 2020年 / 18卷 / 03期
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TN92 [无线通信];
学科分类号：
080402 ; 080904 ; 0810 ; 081001 ;
摘要：
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.
引用
收藏
页码：57 / 63
页数：7
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