Multi-static and Multi-dimensional techniques for passive radar systems

Prof. Michail Antoniou

Michail Antoniou SMIEEE, FIET, received his BEng (Hons) in Communications Engineering in 2003 and his PhD in Radar Systems in 2007, both from the University of Birmingham, UK. He is now Professor in RF Sensing Systems at the University of Birmingham, the Deputy Head of its Microwave Integrated Systems Laboratory (MISL), and the Qinetiq\Royal Academy of Engineering Research Chair in Distributed and Connected RF Sensing. His research interests include distributed radar sensing and imaging, multi-dimensional radar imaging, cognitive radar systems and AI for radar. He has some 160 publications in these areas and 2 book chapters, and he has previously held various editorial roles for IEEE, IET and MDPI journals.

Keynote talk description:

The operational advantages of passive radar systems are well known. At the same time, being able to leverage the natural separation of the transmitter and receiver, the potential multitude of transmitters and receivers that can be simultaneously used or built, as well as the complex transmission schemes of communication and broadcasting systems, passive radar sensors can substantially boost their performance limits in many ways.

The talk explores some of the signal processing techniques that can combine passive radar measurements from multiple transmitters and receivers (multi-static), multiple passive radar signals (multi-dimensional), or both, and how those can lead to radar outputs with increased precision and overall fidelity.