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Wifi Radar

Time: 9.00 – 11.00 a.m., March 29th, Friday

Venue: Lecture Hall, Floor 9, College of Big Data, Mingxiang Campus

Speaker: Zheng Yang, associate professor and doctoral supervisor of Tsinghua University.


Zheng Yang obtained his bachelor degree at department of computer in Tsinghua, and his doctor degree of computer at Hong Kong University of Science and Technology. He was awarded the second prize for National Natural Science and Technology Awards. He was selected as one of Beijing science and technology stars, into the top-notch talent plan (ten thousand plan) for Organization Department of the Central Committee of the CPC, and was funded by the national Outstanding Youth Science Foundation.


Radio signals can be used not only to transmit data but also to sense the environment. In the indoor environment, the radio waves generated by the signal transmitter are transmitted through multiple paths such as direct radiation, reflection and scattering, and the multi-path superposition signals formed at the signal receiver carry information reflecting the environmental characteristics. The use of radio for environmental perception is not new. Typical applications include radar systems for detecting aircraft in space and UWB based indoor radar systems. Compared with special radar signals or even UWB signals, WiFi has a huge advantage in universality. However, its bandwidth is narrow and time resolution is low. Also, there is a big gap in signal processing equipment. Therefore, it is urgent to develop the environmental perception theory and technology based on WiFi to achieve high-precision environmental perception on common commercial WiFi devices. Neither WiFi nor radar is new, but it’s the first time to combine these two which will spark innovation in mobile computing.


WiFi environment sensing technology is widely used. For example, in security areas such as security monitoring in confidential areas, disaster emergency response and protection of important items, it is necessary to timely detect the presence and activities of personnel (staff or intruders) without any wireless communication equipment in sensitive areas. In addition, WiFi environmental awareness technology can also be used to detect fine-grained gestures or tiny movements such as human posture, gestures and breathing.

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