IEEE Signal Processing - May 2018 - 59
Beibei Wang, Qinyi Xu,
Chen Chen, Feng Zhang,
and K.J. Ray Liu
The
Promise
of Radio
Analytics
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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 in 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
Digital Object Identifier 10.1109/MSP.2018.2806300
Date of publication: 26 April 2018
1053-5888/18©2018IEEE
A future paradigm
for wireless positioning,
tracking, and sensing
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.
Introduction
In the IoT era, people are using wireless technologies more to
understand the who, what, when, where, and how of everything happening around them. Just as human activities can
affect the wireless signal propagations surrounding them, information about people's activities is embedded in the signals.
IEEE Signal Processing Magazine
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May 2018
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59
Table of Contents for the Digital Edition of IEEE Signal Processing - May 2018
Contents
IEEE Signal Processing - May 2018 - Cover1
IEEE Signal Processing - May 2018 - Cover2
IEEE Signal Processing - May 2018 - Contents
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IEEE Signal Processing - May 2018 - Cover3
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