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WiMi: Target material identification with commodity Wi-Fi devices
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Journal:ICDCS 2019(CCF 推荐B类会议)

Abstract:Target material identification is playing an important role in our everyday life. Traditional camera and video-based methods bring in severe privacy concerns. In the last few years, while RF signals have been exploited for indoor localization, gesture recognition and motion tracking, very little attention has been paid in material identification. This paper introduces WiMi, a device-free target material identification system, implemented on ubiquitous and cheap commercial off-the-shelf (COTS) Wi-Fi devices. The intuition is that different materials produce different amounts of phase and amplitude changes when a target appears on the line-of-sight (LoS) of a radio frequency (RF) link. However, due to multipath and hardware imperfection, the measured phase and amplitude of the channel state information (CSI) are very noisy. We thus present novel CSI pre-processing schemes to address the multipath and hardware noise …

Indexed by:Essay collection

Translation or Not:no

Date of Publication:2019-07-15

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准聘副教授
Supervisor of Master's Candidates

Name (Pinyin):Feng Chao

E-Mail:

Date of Employment:2022-07-26

School/Department:信息科学与技术学院(软件学院)

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Contact Information:邮箱:chaofeng@nwu.edu.cn 微信号:Fengchao94

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:西北大学

Discipline:Other specialties in Software Engineering

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