Introduction

The Microwave Sensing, Signals and Systems (MS3) group educates students and performs theoretical and experimental research on fundamental and applied aspects of microwave systems for surveillance and remote sensing. Using electromagnetics as the foundation, the group focuses its research on sensing waveforms and signal processing, antenna systems with near- and far-field focusing capabilities and radar resource management. Applications include area surveillance for safety and security applications, weather radar, ground-penetrating radar, automotive and traffic control applications and medical imaging.

Facilities

The group includes the Radar Labs which consist of multi-sensor facilities on the roof of the EEMCS building, most importantly the fully reconfigurable polarimetric wideband radars PARSAX and MESEWI, the located at Cabauw radar facilities TARA and IDRA, and the antenna measurement chamber DUCAT. The labs include also a distributed radar system for the surveillance of the lower airspace (RAEBELL), a millimetre-wave and UWB indoor laboratory, a multichannel transmission MIMO Radar, and a ground penetrating radar measurement site. This infrastructure is leading in Europe.

Education

The MS3 group is involved in the following tracks in the MSc program on Electrical Engineering:

MSc Wireless Communication and Sensing, MSc Signals and Systems.

Our videos:

Novel polarimetric phased array weather radar

Welcome to the new academic year!

PARSAX radar measures the drone at the distance of 8 km

On February 7, 2018 the Microwave Sensing, Signals and Systems (MS3) group run small measurement campaign to validate the ability the PARSAX S-band radar to measure polarimetric micro-Doppler characteristics of small UAV/drones. The drone was flying at the height 100 m, 8 km away from the radar. The video shows the detail structure of micro-Doppler signals from rotating drone's blades with good signal to noise ratio. Such measurements can provide an important input and support for the development of drones detection and classification algorithms for security and safety applications.