You are a highly motivated and self driven researcher with interest in wireless networks and radio propagation? We would love to hear from you.
The group of Radio Systems (RS) within the University of Twente (UT) has a vacancy for a Ph.D. student with the aim to define a novel framework for the indoor passive localization, identification and posture recognition of persons using multi-antenna systems embedded in rooms or buildings. Here “passive” means that the target persons do not need to carry or wear any device to be identified or recognized. Using radio signals (propagating electromagnetic waves) does not put constraints on the lighting conditions of environment and does not pose privacy concerns as image-based systems. For indoor scenarios like home or hospital, the background objects in addition to human can be diverse (in geometry and dielectric properties) and may present in mobility.
Environment-aware studies on (1) how radio waves interact with human body and background objects, as well as (2) how to identify human in space and recognize their posture, are called for, in order to achieve a wireless-assisted human-care. To this end, an optimized yet efficient system with multi-static multi-antenna arrays embedded in buildings/rooms will be designed. The system requirement including spatial and delay resolutions, coverage, sampling, etc., will be assessed with desired accuracy. Algorithms on localization, identification and posture recognition of persons will be devised in a multidisciplinary manner, i.e., hybrid use of radio signals, machine learning, offline and real-time optimization, other non-visual sensors.
This research theme is embarking at the right time for the future 6G communication technologies, where multi-antenna systems are used collaboratively and inclusively for not only advancing communication features but also benefiting localization and sensing possibilities with human “touch”.
Additional information about this position can be acquired from Dr.ir. A.B.J. Kokkeler (a.b.j.kokkeler@utwente.nl) and Dr. Y. Miao (y.miao@utwente.nl).
To apply for this position please visit University of Twente vacacy page.
