摘要
目前基于Wi-Fi的人员入侵检测方法缺少对相位信息的利用,从而限制了入侵检测的适用范围和感知距离。讨论了信道状态信息相位差的可行性,采用轻量级的指标来感知无线环境的状态变化。利用递归量化分析法对静止情况下的子载波进行挑选,采用离散小波变换提取呼吸信号,进一步判断当前环境是否有人入侵。不同实验场景的结果表明,运动和静止人员的检测精度都可以达到90%。
Existing human intrusion detection methods based on Wi-Fi signalslack of utilization on phase information,which limit both the scope of application and effective range of intrusion detection. This paper discusses the availability of phase difference with CSI and adopts a light-weight indicator to sense the changes of statesin wireless environments. In order to detect stationary intruders,the recurrence quality analysis is adopted to select the most periodical subcarrier and discrete wavelet transformation is utilized to extract breathe signals in certain frequency band. Experimental results provide a true detection rate of around 90% for both moving and stationary intruders in two scenarios.
作者
周启臻
邢建春
杨启亮
ZHOU Qizhen;XING Jianchun;Yang Qiliang(The College of Defense Engineering,Army Engineering University,Nanjing 210007, China;Research Center of Building Information Modeling, Tsinghua University, Beijing 100084, China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2018年第1期103-109,共7页
Chinese Journal of Sensors and Actuators
基金
江苏省自然科学基金项目(BK20151451)
关键词
信道状态信息
相位差
入侵检测
无线感知
channel state information （CSI）
phase difference
intrusion detection
wireless sensing
