See through walls with WiFi!

See through walls with WiFi!
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DOI:
10.1145/2486001.2486039
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发表时间:
2013-08
期刊:
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
影响因子:
--
通讯作者:
Fadel M. Adib;D. Katabi
Fadel M. Adib;D. Katabi
中科院分区:
其他
文献类型:
--
作者:
Fadel M. Adib;D. Katabi

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Wi-Fi信号通常是发送器和接收器之间的信息载体。在本文中,我们证明了Wi-Fi还可以扩展我们的感官,使我们能够透过墙壁和紧闭的门看到移动的物体。特别是,我们可以使用这些信号来识别封闭房间中的人数及其相对位置。我们还可以识别在墙后做出的简单手势,然后联合收割机将一系列手势组合起来,在不携带任何传输设备的情况下将信息传递给无线接收器。本文介绍了两个主要的创新。首先,它展示了如何使用MIMO干扰调零来消除静态目标的反射,并将接收器聚焦在移动目标上。其次,它展示了如何通过将人体的运动视为天线阵列并跟踪产生的RF波束来跟踪人体。我们证明了我们的设计的有效性,将其构建到USRP软件无线电和测试它在办公楼。
Wi-Fi signals are typically information carriers between a transmitter and a receiver. In this paper, we show that Wi-Fi can also extend our senses, enabling us to see moving objects through walls and behind closed doors. In particular, we can use such signals to identify the number of people in a closed room and their relative locations. We can also identify simple gestures made behind a wall, and combine a sequence of gestures to communicate messages to a wireless receiver without carrying any transmitting device. The paper introduces two main innovations. First, it shows how one can use MIMO interference nulling to eliminate reflections off static objects and focus the receiver on a moving target. Second, it shows how one can track a human by treating the motion of a human body as an antenna array and tracking the resulting RF beam. We demonstrate the validity of our design by building it into USRP software radios and testing it in office buildings.