REAL-TIME INDOOR EVENT MONITORING USING CSI TIME SERIES

被引:0
|
作者
Xu, Qinyi [1 ]
Han, Yi
Wang, Beibei
Wu, Min
Liu, K. J. Ray
机构
[1] Univ Maryland, College Pk, MD 20742 USA
来源
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2018年
关键词
Smart radio; real-time monitoring; indoor event monitoring;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Environmental information is recorded in the multipath propagation, and can be accessed in the form of channel state information (CSI) through commodity WiFi devices. A single CSI reading for event detection is adopted in most existing CSI based indoor monitoring system. However, due to the impact of noise, event inconsistency and environmental dynamics, this type of approaches is not very robust. In this work, we design efficient algorithms to fully exploit the information embedded in the CSI time series to combat interference introduced by CSI perturbations, and propose an indoor event monitoring system that achieves accurate real-time monitoring. The accuracy and robustness of the proposed system is evaluated through experiments, which illustrate its potential in future smart home applications.
引用
收藏
页码:6393 / 6397
页数:5
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