Radar Old but Gold: current research challenges and activities in radar micro-Doppler signatures 

Speaker Name:
Dr Francesco Fioranelli, Department of Microelectronics, TU Delft, The Netherlands. Affiliate @James Watt School of Engineering, University of Glasgow, UK
Abstract:
The concept and characterisation of radar micro-Doppler signatures have been around for some time in the research community, but they remain powerful source of information that can be exploited for many applications under the framework of radar-based target recognition. Advances in computational capabilities and in algorithms that enhance the intelligence of the radar system have recently refuelled interest in micro-Doppler signatures, or more in general in radar data used as all kinds of inputs to machine learning and deep learning algorithms. The talk aims to provide a quick introduction to micro-Doppler signatures and present examples of techniques that use them in several applications, mostly for the characterisation of human movements and drones.

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