The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing

Beibei Wang, Qinyi Xu, Chen Chen, Feng Zhang, K.J. Ray Liu
2018 IEEE Signal Processing Magazine  
ith the proliferation of Internet of Things (IoT) applications, billions of household appliances, phones, smart devices, security systems, environment sensors, vehicles, buildings, and other radio-connected devices will transmit data and communicate with each other or people, and it will be possible to constantly measure and track virtually everything. Among the various approaches to measuring what is happening in the surrounding environment, wireless sensing has received increasing attention
more » ... recent years because of the ubiquitous deployment of wireless radio devices. In addition, human activities affect wireless signal propagation, so understanding and analyzing how these signals react to human activities can reveal rich information about the activities around us. As more bandwidth becomes available in the new generation of wireless systems, wireless sensing will, in the near future, facilitate many smart IoT applications that are only imagined today. This is because, when the bandwidth increases, one can see many more multipaths in a rich-scattering environment, such as indoors or in metropolitan areas, that can be treated as hundreds of virtual antennas and/or sensors. To control the virtual antennas and make good use of the multipaths, one can resort to the physical principles of radio propagation. Inspired by the high-resolution spatial-temporal resonance of the time reversal (TR) phenomenon, one can develop various types of radio analytics based on the multipath channel profiles. A future paradigm for wireless positioning, tracking, and sensing © iS t o c k p h o t o .c o m /c h o m b o S a n W
doi:10.1109/msp.2018.2806300 fatcat:pffib6pqurgdhmtomgeiw6gomu