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作 者:Linqing Gui Wenyang Yuan Fu Xiao
机构地区:[1]Nanjing University of Posts and Telecommunications,College of Computer,Jiangsu 210023,China
出 处:《Fundamental Research》2023年第6期988-996,共9页自然科学基础研究(英文版)
基 金:the National Natural Science Foundation of China(62125203,61932013,61972201);the Natural Science Foundation of Jiangsu Province(BK20190068).
摘 要:Passive intrusion detection is important for many indoor safety applications.By utilizing widespread WiFi infrastructures,channel state information(CSI)based intrusion detection methods have attractive advantages such as low cost,non-line-of-sight(NLoS)support,and privacy protection.However,existing CSI-based methods lack in-depth and intensive analysis of intrusion detection bound.To the best of our knowledge,this is the first work that precisely characterizes and models CSI-based intrusion detection bound in typical indoor NLoS scenario.A bound is defined as an intruder’s farthest position from the transmitter during intrusion detection.To derive a model for the bound,we first derived an intrusion-disturbed NLoS channel model by analyzing the influence of human intrusion on the NLoS wireless channel.Subsequently,based on the channel model,we further derived an intrusion detection bound model.Based on the derived bound model,we proposed a practical system to estimate the real intrusion detection bound.Extensive experiments were conducted based on practical systems.The experimental and simulation results verified and demonstrated the effectiveness of the derived bound model.Our work not only reveals the fundamental performance limit of the basic intrusion detection method in an indoor NLoS scenario,but also provides a valuable reference for bound estimation for other fine-grained wireless sensing applications.
关 键 词:Intrusion detection Wireless sensing Commodity WiFi Channel state information Non line-of-sight
分 类 号:TN92[电子电信—通信与信息系统]
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