Boosting WiFi Sensing Performance via CSI Ratio

Youwei Zeng; Dan Wu; Jie Xiong; Daqing Zhang

doi:10.1109/MPRV.2020.3041024

Boosting WiFi Sensing Performance via CSI Ratio

Youwei Zeng
, Dan Wu
, Jie Xiong
, Daqing Zhang

Tsinghua University
UMass Amherst

Research output: Contribution to journal › Article › peer-review

61 Citations (Scopus)

Abstract

The past few years have witnessed the great potential of exploiting channel state information (CSI) retrieved from commodity WiFi devices for contactless human sensing. However, a severe problem hindering practical WiFi sensing applications is that the obtained CSI data contains a large amount of noise, leading to short sensing range and low sensing accuracy. Aiming at solving the critical problem, in this article, we propose to employ a new base signal called CSI ratio to boost the WiFi sensing performance.

Original language	English
Article number	9311409
Pages (from-to)	62-70
Number of pages	9
Journal	IEEE Pervasive Computing
Volume	20
Issue number	1
DOIs	https://doi.org/10.1109/MPRV.2020.3041024
Publication status	Published - 1 Jan 2021
Externally published	Yes

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10.1109/MPRV.2020.3041024

Cite this

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title = "Boosting WiFi Sensing Performance via CSI Ratio",

abstract = "The past few years have witnessed the great potential of exploiting channel state information (CSI) retrieved from commodity WiFi devices for contactless human sensing. However, a severe problem hindering practical WiFi sensing applications is that the obtained CSI data contains a large amount of noise, leading to short sensing range and low sensing accuracy. Aiming at solving the critical problem, in this article, we propose to employ a new base signal called CSI ratio to boost the WiFi sensing performance.",

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Boosting WiFi Sensing Performance via CSI Ratio

Abstract

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