See through walls with WiFi!
Author(s)Adib, Fadel M.; Katabi, Dina
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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 demon- strate the validity of our design by building it into USRP software radios and testing it in office buildings.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM - SIGCOMM '13
Association for Computing Machinery
Adib, Fadel, and Dina Katabi. “See through Walls with WiFi!” Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM - SIGCOMM ’13 (2013), August 12–16, 2013, Hong Kong, China.
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