Title: Radars at Leonardo Company: a 70 years long heritage in land, naval, airborne, and spaceborne systems. Looking backward, moving forward.
Chief Commercial Officer Leonardo SpA
Chief Executive Officer Leonardo International SpA
Bio of the Speaker: Lorenzo Mariani has been appointed Chief Commercial Officer of Leonardo Company on 02nd October 2017, reporting to Leonardo CEO and in May 2018 Chief Executive Officer of the Newly created Leonardo International Company. He is also Member of MBDA Board and Deputy Chairman of CIO (Iveco Otomelara Consortium). Lorenzo Mariani achieved a degree in Electronic Engineering cum laude in 1990. He served as an Officer of Italian Navy in 1991. From 1992 to 2002 he worked for Alenia and AMS with the following roles: Radar Systems Analyst, Designer of Multifunction Naval Radar and on board Integrator, South America/NATO Sales Manager of the Land Systems Division. From 2002 to 2005 he worked for MBDA, the Missile Systems Joint Venture among Finmeccanica, Airbus and BAe Systems as Head of Product Strategy. In 2006 he joined SELEX Sistemi Integrati, where he had the following roles: Responsible for Strategy and Technology Planning, Head of Engineering and Head of Large Systems Business Unit. Deputy Chief Operating Officer of SELEX Sistemi Integrati from July 2010 until 30 November 2011, Chief Operating Officer from 1st December 2011 until 31st December 2012. Land & Naval Managing Director of Selex Electronic Systems from 1st January 2013 until 31st December 2015 and Managing Director of the Land & Naval Defence Electronics Division in the One Company Leonardo from 1st January 2016 until 30th September 2017.
Title: State-of-the-Art Automotive Radar System Architectures – and What Else We Can Do with Them.
University of Würzburg. Germany
Summary: Automotive Radar operating in the 77 GHz and 79 GHz bands is the largest market for mmWave systems. Consequently, a de-facto standard system architecture has evolved which is used by most devices on the market and under current development. Modern automotive radars are to a large extent software defined and enable adaptive selection of waveform parameters as well as dynamic utilization of RF subsystems such as transmit and receive channels. This flexibility is the key-enabler for implementing multi-purpose radar sensors, which can realize functions from adaptive cruise control down to automated parking all in one device. Together with the high-volume of automotive radars also comes a rapid cost-reduction. Consequently, they become more and more attractive for solving various other sensing challenges: something else they have originally been designed for. After reviewing the state-of-the art system architecture of automotive radar sensors, this presentation will introduce some novel ideas and applications how performance of that automotive “mass-product” can be further improved and how their flexibility allows for a widespread use, far beyond the traditional adaptive cruise control.
Bio of the Speaker: Markus Gardill is professor for Satellite Communication Systems at the chair of computer science VII – robotics and telematics at the university of Würzburg. He received the Dipl.-Ing. and Dr.-Ing. degree in systems of information and multimedia technology/electrical engineering from the Friedrich-Alexander-University Erlangen-Nürnberg, Germany, in 2010 and 2015, respectively, where he was a research assistant, teaching fellow, and later head of the team for radio communication technology. Between 2015 and 2020 he was R&D engineer and research cluster owner for optical and imaging metrology systems at Robert Bosch GmbH. Later he joined InnoSenT GmbH as head of the group radar signal processing & tracking, developing together with his team new generations of automotive radar sensors for advanced driver assistance systems and autnomous driving. His main research interest include radar and communication systems, antenna (array) design, and signal processing algorithms. His particular interest is space-time processing such as e.g. beamforming and direction-of-arrival estimation, together with cognitive and adaptive systems. He has a special focus on combining the domains of signal processing and microwave/electromagnetics to develop new approaches on antenna array implementation and array signal processing. His further research activities include distributed coherent/non-coherent networks for advanced detection and perception, machine-learning techniques for spatial signal processing, highly-flexible software defined radio/radar systems, and communication systems for NewSpace. Markus Gardill is member of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S). He served as co-chair of the IEEE MTT-S Technical Committee Digital Signal Processing (MTT-9), regularly acts as reviewer and TPRC member for several journals and conferences, and currently serves as associate editor of the Transactions on Microwave Theory and Techniques. He is a Distinguished Microwave Lecturer (DML) for the DML term 2018-2020 with a presentation on signal processing and system aspects of automotive radar systems.
Title: Microwave Sensing for Medical Imaging and Monitoring of Thermal Therapies: Accelerated Inverse Scattering via Learning
Electrical and Computer Engineering at the University of Southern California
Los Angeles, CA.
Summary: Electromagnetic waves in the microwave regime have been proposed for a variety of medical applications in the past several decades. Microwave imaging, reminiscent of multistatic radar, was perhaps the first such application. More recently, non-contact hyperthermia and RF probe-based ablation methods have seen clinical use for thermal therapeutic purposes. A persisting challenge with such systems, however, is monitoring the temporal and spatial progress of heat deposition to achieve optimal treatment results. This talk will include an overview of our recent work on the development of microwave imaging, thermal therapy, and thermal monitoring systems, with emphasis on the latter. The main insight leading to the ability to monitor the progression of thermal treatment via microwave imaging is that the dielectric constant of biological issue is a sensitive function of temperature. As such, by using an inverse scattering method, we are able to map the temperature of the 3D treatment domain. Through the use of a convolutional neural network trained with MRI images, we are also able to substantially accelerate the imaging process as well as increase the resolution of the dielectric constant (and temperature) maps beyond the state-of-the-art in conventional microwave imaging. A summary of analyses and results will be presented to show successful retrieval of temperature fields with a precision of better than 1o C and spatial resolution of sub-cm at a refresh rate of about 1 frame per second, which makes this method realistically useful in a clinical setting.
Bio of the Speaker: Mahta Moghaddam is William M. Hogue Professor of Electrical and Computer Engineering at the University of Southern California, Los Angeles, CA. Prior to that she was at the University of Michigan (2003-2011) and NASA Jet Propulsion Laboratory (JPL, 1991-2003). She received the B.S. degree in 1986 from the University of Kansas, Lawrence, Kansas with highest distinction, and the M.S. and Ph.D. degrees in 1989 and 1991, respectively, from the University of Illinois at Urbana-Champaign, all in Electrical and Computer Engineering. She was a Systems Engineer for the Cassini Radar and served as Science Chair of the JPL Team X (Advanced Mission Studies Team). Her most recent research interests include the development of new radar measurement technologies for subsurface and subcanopy characterization from spaceborne, airborne, and drone-based vantage points especially for soil moisture and permafrost applications, geophysical retrievals using signal-of-opportunity reflectometry, and transforming concepts of radar remote sensing to medical imaging and therapy systems. Dr. Moghaddam is a member of the NASA SMAP mission Science Team and the NASA CYGNSS Science Team. She is the President of the IEEE Antennas and Propagation Society, a Fellow of IEEE, and is a member of the National Academy of Engineering.
Title: Radar Research at Fraunhofer FHR – Challenges and Way Ahead
Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Wachtberg, Germany.
Bio of the Speaker: Prof. Dr. Peter Knott has received the Diploma and Ph.D. degree from RWTH Aachen University, Germany, in 1994 and 2003, respectively. In 1994, he joined the Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR (formerly FGAN e.V.) in Wachtberg, Germany. From 2005 until 2016 he was head of the Department Antenna Technology and Electromagnetic Modelling (AEM), where the focus of his work was design and development of antenna arrays and active antenna front-ends as well as electromagnetic modelling and beamforming methods for conformal antenna arrays. Since 2016, he is Executive Director of the institute Fraunhofer FHR. He is currently holding a professorship of Radar Systems Engineering at RWTH Aachen University and lecturer at different other organisations. Until 2012, he has been chairman of the NATO research task group SET-131 on Vibration Control and Structure Integration of Antennas. He has published numerous articles in scientific journals and on conferences and holds several patents. He was Co-Chair of the 14th European Radar Conference (EuRAD) in Nürnberg 2017 and General Chair of the International Radar Symposium (IRS) in Bonn 2018 and Ulm 2019. Currently, he is also a “Member at Large” for AESA radar in the Sensors and Electronics Technology (SET) Panel of the NATO Science and Technology Organisation (STO), member of the Radar Systems Panel (RSP) in the IEEE Aerospace and Electronics Systems Society, Chairman of the Executive Committee of the German IEEE MTT/AP Joint Chapter, Chairman of the Technical Committee HF4 “Positioning” of VDE/ITG and member of the Scientific Advisory Board of the German Institute of Navigation (DGON) e.V.