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Through-Wall Human Sensing With WiFi Passive Radar

机译:通过WiFi被动雷达的穿过墙壁感应

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摘要

Through-wall human sensing is of high interest for both military and nonmilitary applications, including counter-terrorism and law enforcement purposes, particularly in the modern, highly urbanized environment. Conventional active radar sensors possess good performance, however, at the expense of high cost and complexity of the transmitter/receiver design. This article demonstrates the effectiveness of a passive through-wall human sensing technique using opportunistic WiFi signals. With a simple software-defined radio receiver and advanced signal processing techniques, the position of indoor WiFi access point can be accurately localized, and its signal can be exploited to clearly detect the Doppler/micro-Doppler of human motions inside the room. Compared to the results in the current literature, this article demonstrates better detection sensitivity and capability to sense not only major motions such as walking and waving hand, but also very small human motions such as keyboard typing and breathing. In addition, an iterative adaptive approach is applied to effectively improve the Doppler resolution of WiFi passive radar. These enhanced sensitivities greatly expand the potential of WiFi passive radar for through-wall sensing applications.
机译:穿过墙体感官对于军事和非金属申请具有很高的兴趣,包括反恐和执法目的,特别是在现代,高度城市化的环境中。然而,传统的主动雷达传感器具有良好的性能,以牺牲发射机/接收器设计的高成本和复杂性为代价。本文展示了使用机会WiFi信号的被动通壁人类传感技术的有效性。通过简单的软件定义的无线电接收器和高级信号处理技术,可以准确地定位室内WiFi接入点的位置,并且可以利用其信号清楚地检测房间内的人类运动的多普勒/微多普勒。与目前文献的结果相比,本文证明了更好的检测灵敏度和能力,不仅是散步和挥手的主要运动,而且非常小的人类运动,如键盘打字和呼吸。此外,应用迭代自适应方法以有效地改善WiFi无源雷达的多普勒分辨率。这些增强的敏感性大大扩展了WiFi被动雷达的通壁传感应用的潜力。

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