TUTORIALS - Monday 23 September

J.P Ovarlez,
T1 - Robust estimation and detection schemes in non-standard conditions for radar, array processing and imaging

Since several decades, the Gaussian assumption has been widely used to deal with estimation and detection problems. More recently, some alternatives to this modeling, namely the compound-Gaussian model, the Symmetric Invariant Random Vector model or more general Complex Elliptically Symmetric (CES) process, have been studied, particularly for radar applications. Many works have shown for example the good agreement between such a model and real clutter radar data. Under these different statistical assumptions, several optimum and sub-optimum detectors, both designed for Gaussian or non-Gaussian disturbance, have been developed and analyzed, like for example, the well-known Matched Filter (MF) and the Normalized Matched Filter (NMF). However, in practice, clutter and noise parameters are unknown and need to be estimated from a set of so-called secondary data. This leads to adaptive detection techniques. Their resulting performances strongly rely on the parameters estimation accuracy and particularly, on the clutter Covariance Matrix (CM) estimation. To tackle this challenging problem, recent works on Maximum Likelihood Estimation (MLE) and robust CM estimation have proposed different approaches such as the Tyler Estimators or the M-estimators. These estimators have been shown to perfectly handle the non-Gaussian nature, the spatial power heterogeneity, the non-stationarity of the clutter background. We will discuss about the required regularization procedure when the number of secondary data is less than the size of the observation vector or when some outliers or additional targets are present in the secondary data. After briefly discussing the properties of the different statistical estimators (under Gaussian or non-Gaussian assumptions) used to describe the background data, different optimum and suboptimum adaptive detection schemes will be introduced. Finally, to deal with real applications, adaptive detection procedures as well as covariance matrix estimation schemes will be presented with the particular constraint of overall good regulation of false alarm strongly related to the detection performance. So, we propose to highlight these proposed estimation and detection schemes through some different
applications on experimental data for example:
• Radar detection,
• Space-Time Adaptive Processing (STAP) and Array Processing,
• SAR Imaging (detection, change detection, classification, etc.),
• Hyperspectral Imaging (anomaly detection, target detection, etc.).

Biography : Jean-Philippe Ovarlez (ONERA & CentraleSupélec, France) was born in Denain, France in 1963. He received jointly the engineering degree from Ecole Supérieure d’Electronique Automatique et Informatique (ESIEA), Paris, France and the Diplôme d’Etudes Approfondies degree in Signal Processing from University of Paris Saclay, France and the Ph.D. degree in Physics from the University of Paris 6, France, in 1987 and 1992, respectively. In 2011, he obtained a Research Directorship Habilitation (HDR) thesis in Signal Processing from the University of Paris Saclay and his qualification to the University Professor position. In 1992, he joined the Electromagnetic and Radar Division of the French Aerospace Lab (ONERA), Palaiseau, France, where he is currently Chief Scientist and member of the Scientific Committee of the ONERA Physics Branch. Since 2008, he is attached at a part time to CentraleSupélec SONDRA Lab, in charge of Signal Processing activities supervision. In 2015, he becomes member of Special Area Team (SAT) in Theoretical and Methodological Trends in Signal Processing (TMTSP), EURASIP and treasurer of the IEEE GRSS French Chapter in 2016. His research interests are centered in the topic of Statistical Signal Processing for radar and SAR applications such as Time-Frequency, imaging, detection and parameters estimation.

H. Rohling,
T2 - 24 and 79 GHz Automotive Radar Sytems and Applications

There are about 4000 fatalities on German streets every year, which are absolutely too many. Drivers have strong limitations in the ability to measure precisely the distance and the speed difference between cars, which is the reason for several accidents. The all-weather-capability as well as the capability of measuring target range and radial velocity simultaneously are some of these essential features, which make radar systems and small radar sensors suitable for automotive applications. The radar sensors are mounted behind the front and rear bumper in an invisible way.

Radio Detection and Ranging (RADAR) is a worldwide well-known sensor technique since more than 115 years. Collision avoidance between ships was the first application for this new technique and technology. Today we come back to the collision avoidance application however now between cars in a normal road environment.

The general requirement on an automotive radar sensor in the 24 and 79 GHz frequency domain is to measure the target range R and radial velocity vr simultaneously and unambiguously with high accuracy and resolution even in multi target situations, which is a matter of the appropriate waveform design. Several new waveforms have been developed for this application in the last years. In any continuous wave (CW) radar the receive signal is directly down-converted into baseband by the instantaneous transmit frequency. The receive signal is then sampled and further processed for target detection and parameter estimation. The resulting beat frequency fB will be measured with high accuracy by an FFT procedure.

The aim of the tutorial is to introduce multiple CW waveforms with different frequency modulation schemes and describe their performance figures. With a single chirp waveform for example the target range and radial velocity cannot be measured in multiple target situations. Therefore several alternatives have been developed to fulfill the expected requirements. Chirp sequence waveforms show good performance figures in this respect. The computation complexity of the

Biography : Prof. Dr. Hermann Rohling is the Head of the Institute of Telecommunications at Hamburg University of Technology, where he has developed an international reputation for mobile communications and automotive radar systems. Prof. Rohling has started his career at the AEG Research Institute, Ulm, Germany, as a researcher working in the area of digital signal processing for radar and communication applications. Nowadays his research interests include signal theory, radar waveform design, digital radar signal processing, CFAR detection (OS-CFAR), and estimation. But his research interest covers also wideband mobile communications based on multicarrier transmission techniques (OFDM) for future broadband systems (4G), and differential GPS for high precision navigation. He is a worldwide well-known expert in automotive radar systems for more than 20 years.

Prof. Rohling is the President of the German Institute of Navigation (DGON), a member of Informationstechnische Gesellschaft (ITG), and a Fellow of IEEE. Every year he is the organizer and chairman of the International Radar Symposium (IRS). Prof. Rohling was the Vice President of the Hamburg University of Technology, Germany for more than six years.

J. Williams
T3 - Electronic Scanned Array Design

Electronic Scanned Arrays have expanded far beyond their initial defense applications in the mid-20th century into scientific, commercial and consumer markets. This proliferation follows enormous cost reductions resulting from high volume production for consumer products, notably wireless communications, both voice and data, as well as personal computing. The scientific theory and design approaches for ESAs were discovered and developed almost concurrently with the demonstration and widespread use of radio communications. Application of ESAs initially required large budgets available only to governments but costs gradually diminished with the growth of the industrial base for components and manufacturing technology. With ESA costs no longer a dominant consideration, their substantial performance benefits make them increasingly popular. The objective of this tutorial is to provide an introduction to the theory and application of electronic scanned arrays. The focus will be antenna hardware and specifically radar antennas. The tutorial will discuss array theory, design principles and approaches, practical design considerations and exemplary applications. A number of numerical solutions will be presented. The presentation outline is as follows:

• Introduction and System Applications - why an ESA
• ESA Theory - Maxwell, Fourier, aperture antennas and arrays
• ESA Artifacts - Bandwidth, grating lobes, thinned arrays and mutual coupling
• Beam shape - analysis and synthesis
• Hardware - T/R modules, radiating elements
• ESA's in space - design choices, reflector vs ESA

Biography : Mr. Williams has worked on Electronic Scanned Arrays since 1980. He worked on a number of radar systems and managed several T/R module, array development and test programs during his employment at TRW, Hughes Aircraft, Raytheon Corporation and The Aerospace Corporation over the course of 40 years. He is the author of "ESA Design", to be published by SciTech imprint of the IET. He received his bachelor's degree from the California Institute of Technology and a master's degree from the University of California, both in physics. He holds two patents in the field

G.A. Fabrizio,
T4 - Over-the-Horizon Radar - Fundamental Principles, Signal Processing and Emerging Applications

The main theme of the tutorial is to motivate, describe and illustrate the practical application of contemporary adaptive signal processing techniques to real-world OTH radar systems. In addition, the tutorial delves into a number of emerging applications including passive OTH radar, blind signal separation using antenna arrays, and multipath-driven emitter geolocation. The scope of the tutorial is to introduce a variety of signal detection and estimation problems encountered by real-world systems in challenging interference and clutter environments and to provide a framework for developing and implementing robust adaptive processing methods that can address these problems effectively in operational systems. This includes adaptive processing in space, time and space-time for active and passive HF radars in surveillance applications, as well as novel techniques that exploit multipath propagation for high-fidelity waveform estimation and target geolocation. The depth of treatment ranges from explaining the fundamental principles of OTH radar systems to a mathematical description of validated signal models and the adaptive processing techniques based upon them. The tutorial contains many examples of experimental results at all stages of the presentation to demonstrate the benefits achieved through the use of advanced processing relative to conventional methods.

Biography : Giuseppe A. Fabrizio received his B.E. and Ph.D. degrees from the School of Electrical and Electronic Engineering at the University of Adelaide, South Australia, in 1992 and 2000. Since 1993, Dr Fabrizio has been with Australia’s Defence Science and Technology (DST) Group. From 2005 to 2015, he led the Electronic Warfare and Signal Processing section of the high frequency (HF) radar branch. In that role, he was responsible for the development and practical implementation of innovative electronic protection methods and robust adaptive array processing techniques to enhance the operational performance of the Jindalee Operational Radar Network (JORN). In 2016, Dr Fabrizio was appointed to Group Leader of the Microwave Radar Systems Science and Technology Capability in DST Group and is now acting as the Research Leader of the Surveillance and Reconnaissance Systems Branch. In his current position, Dr Fabrizio has responsibility for all facets of research and development in active and passive radar systems (excluding HF) as well as providing advice to Government on major Defence acquisition projects. Dr Fabrizio is a Fellow of the IEEE and is the principal author of over 60 peer-reviewed journal and conference publications. He is twice the co-recipient of the prestigious M. Barry Carlton Award for the best paper published in the IEEE Transactions on Aerospace and Electronic Systems (AES) in 2003 and 2004. In 2007, he received the coveted DST Group Science and Engineering Excellence award for contributions to robust adaptive array processing applied in JORN. In the same year, he was granted a DST Group Science Fellowship to pursue collaborative research at La Sapienza University in Rome, Italy. Dr Fabrizio has delivered seven OTH radar tutorials in the national and international IEEE Radar Conference series. He is an Australian representative of the IEEE International Radar Systems Panel and is an AES Society Distinguished Lecturer. He served as Vice President of Education on the AES Board of Governors (2012-2015), Executive Vice President (2015-2017) and is currently serving as the President of the AESS (2018-2019). Dr Fabrizio has collaborated with several international defence agencies under MoU agreements and has represented Australia in NATO SET task-group activities. He has engaged extensively with private industry, and collaborated with numerous academic institutions in Australia and abroad. Dr. Fabrizio received the distinguished IEEE Fred Nathanson Memorial Radar Award in 2011 for his contributions to OTH radar and radar signal processing. He is the author of the text “High Frequency Over-the-Horizon Radar –Fundamental Principles, Signal Processing and Practical Applications”, McGraw-Hill, NY, 2013.

K. Kulpa, M. Malanowski,
T5 - Ambiguity free radar – theory and applications of tailored noise waveforms

In the tutorial the concept of Ambiguity free radar based on noise waveform will be presented. Such radar is using noise or pseudo-noise waveform and either continuous-wave or pulse wave with random modulation. Noise waveforms have significant advantages over the classical radar waveforms, as they do not have range nor Doppler ambiguities and can be used in dense electromagnetic environment without significant interferences with other devices using the same spectrum.  In the tutorial the basics of noise radar will be presented. Problems typical for noise radar, such as the masking effect, will be identified and solutions to those problems will be shown. Except of classical approach the novel, sparsity based technique will be discussed together with abilities of target identification using micro-Doppler, SAR and ISAR imaging.
The tutorial will show the importance of waveform design for noise radar. The sidelobe reduction and spectrum shaping will be shown and discussed. Operation of the noise radar in MIMO configuration, both using co-located and spatially separated antennas, will be presented in the tutorial numerous real-life result examples will be shown. Possible applications of such radar will be analyzed.

Biography K. Kulpa : Prof. Krzysztof S. Kulpa received his M. Sc., Ph.D. and Dr Sc. degrees from the Department of Electronic Engineering, Warsaw University of Technology (WUT) in 1982, 1987 and 2009 respectively. From 1985 to 1988 he worked at the Institute of Electronic Fundamentals, WUT, and in the years 1988-1990 he was Associate Professor at the Electrical Department of the Technical University of Białystok. In the period 1990-2005 he worked as a scientific consultant in WZR RAWAR. Since 1990 he has been a Professor at the Institute of Electronic Systems (WUT). He is now the head of the Radar Technology Research Group at WUT. Since 2011 he has held the position of Scientific Director of the Defense and Security Research Center of the Warsaw University of Technology. In 2014 he obtained the title of State Professor, granted by the President of Poland.
He is active in radar signal processing.

Biography M. Malanowski : Prof. Mateusz Malanowski received his M.Sc., Ph.D. and D.Sc. degrees in Electrical Engineering from the Warsaw University of Technology, Warsaw, Poland, in 2004, 2009 and 2013 respectively. He was a Research Scientist with FGAN (Forschungsgesellschaft fuer Angewandte Naturwissenschaften), Germany, and an Engineer with Orpal, Poland. Currently, he is an Associate Professor at the Warsaw University of Technology. Prof. Malanowski is the author/coauthor of over 160 scientific papers. His research interests are radar signal processing, target tracking, passive coherent location, synthetic aperture radar and noise radar. For the last 14 years he has been involved in numerous national and international projects, focusing on passive radar, synthetic aperture radar and noise radar. He has been a member of several NATO Science and Technology Organization groups. Prof. Malanowski is currently managing a project, whose aim is to develop first Polish, and one of the first in the world, operational military (TRL9) passive radar system. Prof. Malanowski is a IEEE Senior Member and a member of Institution of Engineering and Technology (IET).

  A. Farina,  L. Chisci,

T6 - 40 years of multi-target multi-sensor tracking: a cross-view from industry and academia

The tutorial will describe the intertwined R&D activities, along several decades, between academia and industry in conceiving and implementing - on live radar systems - tracking algorithms for targets in civilian as well as defense and security applications.
We trace back from the alpha-beta adaptive filter to modern random set filters passing thru Kalman algorithm (in its many embodiments), Multiple Model filters, Multiple Hypothesis Tracking, Joint Probabilistic Data Association, Particle filter for nonlinear non Gaussian models. Fusion from heterogeneous collocated as well as non-collocated sensor data are also mentioned. Applications to land, naval and airborne sensors are considered. Active as well as passive radar experiences are overviewed. The description will be a balanced look to both mathematical aspects as well as practical implementation issues including mitigation of real life system limitations

Biography A. Farina : (Fellow of EURASIP, FIEEE, FIET, FREng) received the degree in Electronic Engineering from the University of Rome (IT) in 1973. In 1974, he joined Selenia, then Selex ES, where he became Director of the Analysis of Integrated Systems Unit and subsequently Director of Engineering of the Large Business Systems Division. In 2012, he was Senior VP and Chief Technology Officer of the company, reporting directly to the President. From 2013 to 2014, he was senior advisor to the CTO. He retired in October 2014. From 1979 to 1985, he was also professor of “Radar Techniques” at the University of Naples (IT). He is the author of more than 600 peer-reviewed technical publications and of books and monographs (published worldwide), some of them also translated into Russian and Chinese. Some of the most significant awards he’s received include: (2004) Leader of the team that won the First Prize of the first edition of the Finmeccanica Award for Innovation Technology, out of more than 330 submitted projects by the Companies of Finmeccanica Group; (2005) International Fellow of the Royal Academy of Engineering, U.K., and the fellowship was presented to him by HRH Prince Philip, the Duke of Edinburgh; (2010) IEEE Dennis J. Picard Medal for Radar Technologies and Applications for “Continuous, Innovative, Theoretical, and Practical Contributions to Radar Systems and Adaptive Signal Processing Techniques”; (2012) Oscar Masi award for the AULOS® “green” radar by the Italian Industrial Research Association (AIRI); (2014) IET Achievement Medal for “Outstanding contributions to radar system design, signal, data and image processing, and data fusion”. He is a Visiting Professor at UCL, Dept. of Electronics, CTIF (Center for TeleInFrastructures) Industry Advisory Chair.

Biography L. Chisci : received the degree in electrical engineering in 1984 from the University of Florence and the Ph.D. in systems engineering in 1989 from the University of Bologna. He is full professor at University of Florence. His educational and research career have been in the area of control and systems engineering. His research interests have spanned over: adaptive control and signal processing, algorithms and architectures for real-time control and signal processing, recursive identification, filtering and estimation, predictive control. His current interests concern networked estimation, multitarget multisensor tracking and distributed data fusion. He has coauthored over 180 papers of which over 60 on international journals. His research group has a long-standing collaboration with Alfonso Farina’s group at Finmeccanica starting from 1994 on several topics including adaptive signal processing, stochastic filtering, multitarget multisensor tracking and data fusion

K. Venkataraman,
T7 - Recent trends in optimised low observable target detection techniques

One of the recent challenges to the radar target detection, is to detect low RCS (Radar Cross Section) targets (e.g small boats, submarine, periscope etc) in a heavy sea clutter environment and high sea states. There is also a critical requirement for early detection and warning of the intruders (slow moving small boats) entering into the territorial waters, UAVs (Unmanned Aviation Vehicles) over land and sea involved in hostile EA assignments, detection of submarine periscopes exposed intermittently just above the water surface and so on. Furthermore, birds flying low at critical heights above the ground, have become a potential aviation safety hazards, during approach and take off. With these threats on the increase, extracting such weaker, unpredictable and unstable target returns require fast, efficient, reliable and robust Small Target detection methods and techniques. With this objective this tutorial proposal for RADAR2019 will discuss these challenges and the fixes.

Biography : Krishna Venkataraman is a Radar Systems Engineer/Radar Scientist in DST Group, Department of Defence, Australia and Project S&T Advisor to the Department of Defence, supporting various defence radar acquisition projects. His current research interests include small target detection (intruder/non- cooperative), detection of biological targets, netted radar sensing, phase noise in radar systems, radar performance modelling/ assessment, analysis and mitigation of intentional/non-intentional RF interferences (Wind farms) on surveillance (ATC) radar performance etc…
He has more than 40 years of radar experience and his past activities in defence industries include, leading research and development of signal processing algorithms for naval surveillance (S and L band) radars, Doppler tracker for instrumentation (C band) radars for space launch vehicles, AEW radar signal processor, critical (Aeolian) phase noise measurements in OTH radars etc..
He has presented/published several technical papers/ reports in International conferences, symposiums and journals. He delivered several tutorials/workshops/planery talks in various international radar conferences worldwide and workshops for military personnel. He chaired Tutorial committees in RADAR2008 and RADAR2013 conferences. Krishna Venkataraman is a MEMBER - MIE(Aust) and Chartered Professional Engineer (CPEng) of the Institution of Engineers (Australia) and SENIOR MEMBER of the Institute of Electrical and Electronic Engineers (SMIEEE). MIEAust CPEng NER APEC Engineer IntPE(Aus). MEMBER of the Institute of Electrical and Electronic Engineers (IEEE) MIEEE

F. Colone, D. Cristallini, D. Poullin,
T8 - The Resourcefulness of Passive Radar: From Introductory Concepts to Advanced Applications

Passive radar over the last five years has moved from an emerging technology to a mature technology that is ready to be deployed in the field to fulfil the requirements of a range of surveillance applications. The progress in passive radar has largely been facilitated by the impressive increase in real-time signal processing capabilities and the progressive reduction in cost and size of high performance hardware. However, a significant technology enabler has come in the evolution of adaptive signal processing techniques and in the development of innovative operational modes and strategies, which permit superior effectiveness. This tutorial illustrates the many successful methods and amazing solutions that can be adopted in passive radar sensors to increase their reliability, to improve their potentialities, and hence widen the range of applications. The tutorial starts from the basic concepts of passive radar by presenting an overview of fundamental methods to motivate and explain the architecture and design of existing passive radar systems. Then the discussion focuses on recent advances in signal processing techniques and system design approaches. Specifically, among the core aspects related to the implementation of passive radar surveillance, it addresses the capability to adaptively cancel interference, to perform long integration times, to form images of the surveyed scene, to extract target signatures to be employed for its classification, to benefit from different bistatic/multistatic acquisition geometries, and to exploit the information conveyed by multiple receiving channels providing spatial, frequency, or polarization diversity. In addition to the theoretical aspects, the tutorial provides the attendees with an insight into the real-world applications of passive radar. A wide range of applications is covered such as air traffic control, including surveillance against UAV, maritime surveillance, vehicular traffic monitoring, up to indoor surveillance and, for each case, several experimental results are reported exploiting different illuminators of opportunity (FM radio, DVB-T, WiFi, etc.). Walking through these results gives the chance to describe in more detail some technical aspects related to system design issues and signal processing techniques as well as to understand the current limitations and future perspectives of passive radar sensing. The result will be to dissuade those (if any) who believe that research on passive radar is running out of steam…

Biography F. Colone : Prof. Fabiola Colone received the laurea degree (B.S.+M.S.) in Telecommunications Engineering and the Ph.D. degree in Remote Sensing from Sapienza University of Rome, Italy, in 2002 and 2006, respectively. From December 2006 to June 2007, she was a Visiting Scientist at the Electronic and Electrical Engineering Dept. of the University College London, London, U.K. She is currently an Associate Professor at the Faculty of Information Engineering, Informatics, and Statistics of Sapienza University of Rome, Italy. The majority of Dr. Colone’s research and teaching activity is devoted to radar systems and signal processing. On these topics, she has been involved in research projects funded by the European Union, the European Defence Agency, the Italian Space Agency, the Italian Ministry of Research, and the radar industry. Her research has been reported in over 120 publications in international technical journals, book chapters, and conference proceedings. Dr. Colone is co-recipient of the IET RSN Premium Award 2018 as co-author for a work on polarimetric PCL. She is member of the IEEE AESS Board of Governors since 2017. She was elected VP Member Services for 2019. She is Chair of the AESS Professional Networking and Mentoring Program and Editor in Chief for the IEEE AESS QEB Newsletters. She is member of the AESS Radar System Panel. She is Associate Editor for the IEEE Transactions on Signal Processing and member of the Editorial Board of the Int. Journal of Electronics and Communications (Elsevier). She was in the organizing committee, as the Student Forum Co-Chair, of the IEEE 2008 Radar Conference, Rome, Italy, and she is currently in the organizing committee, as Special Sessions Co-Chair, of the IEEE 2020 Radar Conference.

Biography  D. Cristallini : Dr. Diego Cristallini is the Head of the Passive Radar Group at Fraunhofer FHR. He graduated cum laude in Telecommunication Engineering in May 2006 and received the Ph.D. degree in Radar Remote Sensing in April 2010 both from the University of Rome “La Sapienza”. From December 2009 to February 2015 he has been with the Array-based Radar Imaging Department of the Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR in Wachtberg, Germany. Since March 2015, Dr. Cristallini is leading the Team on Passive Covert Radar in the Passive Radar and Anti-Jamming Techniques Department of Fraunhofer FHR, Germany. Dr. Cristallini has been involved in several research projects at national and international level with italian space agency (ASI), german space agency (DLR), european commission (FP7 and H2020), and european defence agency (EDA) as well as with industrial partners. His research interests are in multi-channel radar signal processing, in particular in STAP, GMTI, SAR, and passive radar. His scientific results are published in several contributions in international conferences and journals. He is also co-author of two chapters in the book Novel Radar Techniques and Applications edited by R. Klemm. Dr. Cristallini serves as voluntary Reviewer for a number of international technical journals, and he is active in the scientific community serving as TPC for several international conferences related to radar. He is also a regular lecturer at the Fraunhofer International Summer School on Radar and SAR. He received the Best Paper Award at EUSAR 2014 for his work on mono- and bi-static SAR-GMTI, the Best Poster Award at EUSAR 2018 as co-author for a work on airborne passive SAR and the IET RSN Premium Award 2018 as co-author for a work on polarimetric PCL. Dr. Cristallini is the co-chair of the NATO group SET-242 on “Passive radars on moving platforms”.

Biography Poullin :  Dominique Poullin is graduated from ENSTA (Ecole Nationale Supérieure des Technqiues Avancées) a French High School. He joined ONERA (Office National d’Etudes et de Recherches Aérospatiale) in1989 where he works especially in the passive radar field. He began with the analog TV waveform, and since 1995’s he studied the digital COFDM waveform (Coded Orthogonal Frequency Division Multiplex) and its properties against multipaths and/or multiple transmitters in SFN (Single Frequency Network) mode. He is the author of two patents dealing with the clutter (and direct path) cancellation in passive radar using COFDM waveform. After this focus on the DAB (Digital Audio Broadcasting) standard, he came back to the analog transmitters with FM and he is currently working on DVB-T. He is responsible of the different passive radar studies in ONERA among which : passive DVB-T capabilities against UAV, MIMO-FM (or a way of evaluating target elevation according to the transmitting pylon), passive airborne DVB-T evaluation,…He has participated in several NATO groups on passive radar and he serves as voluntary reviewer for a number of international technical journals.

M. Martorella
T9 - Introduction to Inverse Synthetic Aperture Radar and Multidimensional Radar Imaging

Radar imaging is widely used in both civilian and military areas. The ability to form e.m. images of various types of targets, including both natural and man-made, has become crucial in many applications. The information content as well as the quality and effectiveness of such images is somehow tied to the ability of the system to capture and image important features that are then exploited for the specific application that is using radar imaging. ISAR images can be obtained by means of a signal processing that can be enabled both on and off-line by using dedicated image formation algorithms. Automatic Target Recognition (ATR) systems are often based on the use of radar images because they provide a 2D e.m. map of the target reflectivity. Therefore, classification features that contain spatial information can be extracted and used to increase the performance of classifiers. The understanding of ISAR image formation is crucial for optimising ATR systems that are based on such images. In the recent years, radar have become multi-dimensional, in the sense that they make use of multiple antennas, multiple frequencies, multiple polarization and they repeat measurements at different times (multi-pass or repeat-pass) and at different view angles (multi-perspective). All these degrees of freedom (dimensions) may add important information and give the imaging system additional abilities that mono-dimensional radar do not have. In this tutorial, the presenter will introduce several applications of multi-dimensional radar imaging and will highlights the pros and cons of each in order to introduce the concept of optimal multi-dimensional radar imaging system and how this is related to a specific application.

Biography : Marco Martorella Marco Martorella received his Laurea degree (Bachelor+Masters) in Telecommunication Engineering in 1999 (cum laude) and his PhD in Remote Sensing in 2003, both at the University of Pisa. He is now an Associate Professor at the Department of Information Engineering of the University of Pisa where he lectures “Fundamentals of Radar” and “Digital Communications” and an external Professor at the University of Cape Town where he lectures “High Resolution and Imaging Radar” and “Introduction to Radar” within the “Masters in Radar and Electronic Defence”. He is also the current Director of the CNIT National Radar and Surveillance Systems Laboratory. He is author of more than 200 international journal and conference papers, three book chapters, a book entitled “Inverse Synthetic Aperture Radar Imaging: Principles, Algorithms and Applications” and another book entitled “Radar Imaging for Maritime Observation”. He has presented several tutorials at international radar conferences, has lectured at NATO Lecture Series and organised international journal special issues on radar imaging topics. He is a member of the IET Radar Sonar and Navigation Editorial Board, a senior member of the IEEE, a member of AFCEA. He is also a member of the IEEE AES Radar Systems Panel and the Italian National Academic Member within the NATO Sensor and Electronic Technology Panel He is currently the chair of the research task group NATO SET-250 on “Multidimensional Radar” and co-chair of NATO SET-236 on “Robust compressive sensing techniques for radar and ESM applications”. He was also chair of the SET-196 on “Multichannel/Multistatic radar imaging of non-cooperative targets” and of the specialist meeting NATO SET-228 on “Radar Imaging for Target Identification”. He has been recipient of the 2008 Italy-Australia Award for young researchers, the 2010 Best Reviewer for the IEEE GRSL, the IEEE 2013 Fred Nathanson Memorial Radar Award and the 2016 Outstanding Information Research Foundation Book publication award for the book “Radar Imaging for Maritime Observation”. He is co-founder of a radar systems-related spin-off company, namely ECHOES. His research interests are mainly in the field of radar imaging and multichannel radar signal processing.

M. Davis
T10 - Ultra Wide Band Surveillance Radar

Ultra Wide Band Surveillance Radar is an emerging technology for detecting and characterizing targets and cultural features for military and geosciences applications. It is essential to have fine range and cross-range resolution to characterize objects near and under severe clutter. This Tutorial is divided into five parts.

• The Early History of Battlefield Surveillance Radar: Battlefield surveillance from manned and unmanned aircraft, along with early experiments in fixed and moving target detection and foliage penetration are covered. There were some very interesting developments in radar technology that enabled our ability to detect fixed and moving objects in dense clutter. Examples of airborne phased array antennas and UWB radars will be summarized.
• UWB Phased Array Antenna: Electronically scanned antennas are widely used for surveillance of large areas. Wideband waveforms place a significant demand on the ESA design to maintain gain and sidelobe characteristics. Design of ESA systems with time delay steering and digital beamforming will be described.
• UWB Synthetic Aperture Radar (SAR): A brief description of several UWB surveillance SAR systems will be provided, along with illustrations of the SAR image and fixed object detection capability. Techniques developed for ultra-wideband and ultra-wide-angle image formation will be presented.
• UWB Ground Moving Target Indication: Space time adaptive processing (STAP) has been used for over 20 years for detecting and tracking moving targets in clutter. As the resolution is improved for target characterization, the limits of STAP are tested. This section will discuss two approaches for increasing the bandwidth and maintaining geolocation accuracy: wideband STAP and Along Track Interferometry.
• New research in Multi-mode Ultra-Wideband Radar, with the design of both SAR and moving target indication (MTI) FOPEN systems. The last section of the tutorial will illustrate new technologies that have promise for future multimode operation: simultaneous SAR and GMTI in a multichannel radar.

Biography : Dr Mark E Davis has over 50 years’ experience in Radar technology and systems development. He has held senior management positions in the Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory, and General Electric Aerospace. At DARPA, he was the program manager on both the foliage penetration (FOPEN) radar advanced development program and the GeoSAR foliage penetration mapping radar. Dr Davis wrote the text: ”Foliage Penetration Radar – Detection and Characterization of Objects Under Trees”, published by Scitech Raleigh NC in March 2011. His education includes a PhD in Physics from The Ohio State University, and Bachelor and Master’s Degrees in Electrical Engineering from Syracuse University. He is a Life Fellow of both the IEEE and Military Sensing Symposia, and a member of IEEE Aerospace Electronics Systems Society Board of Governors, VP Conferences, and past-Chair the Radar Systems Panel. He is the 2011 recipient of the AESS Warren D White Award for Excellence in Radar Engineering, and the 2018 IEEE Dennis J. Pickard Medal for Radar Technologies and Applications.

E. Brookner
T11 - Phased-arrays, Metamaterials, Stealth, Ultra-Wideband, Cognitive Adaptivity, Radar, Mimo -- Basics and Breakthroughs

Details coming soon

Biography : Dr. Brookner has recently shown that contrary to what was reported in the literature the new promising MIMO radar arrays do not offer orders of magnitude (10, 100, 1,000, etc) better resolution and accuracy than conventional arrays. The problem is that due diligence was not given as to what conventional arrays can do. He has shown that conventional arrays can give the same orders of magnitude improvement as can MIMO radar arrays when used properly. He has shown using the same arrays used for MIMO radar but used as a conventional radar arrays one can get the same orders of magnitude improvement. This has the advantage in many applications of easier waveform design and lower signal processing computation. He pointed out that MIMO radar does not have the potential of providing better GMTI than conventional GMTI, again if the right conventional array is used. He pointed out that MIMO radar does not in general offer better jammer handling ability than conventional arrays and in fact in fact against repeater jammers MIMO has poorer performance.  
Dr. Brookner is still as active as ever. In 2018 he gave a 4 hour tutorial on arrays at the IEEE Australia Radar 2018 conference plus three papers on arrays (including MIMO radar), metamaterials and cognitive array processing. He pointed out for the first time in his phased array paper that conventional radars can have equal or better resolution than MIMO automobile radars and in addition better antenna sidelobes, like 26 dB down sidelobes versus 13 dB. He also gave two IEEE AESS Distinguished Lectures (DLs) at two Australian universities while in Australia. In 2016 he gave 39 IEEE AESS DL talks, in 2017 33.
 In 2018 he gave two webinars for the Microwave Journal. One on arrays on May 2 for which 760 from 61 countries registered and one on MIMO Radar on June 27 for which 510 registered from 66 countries. These are archived for 6 months. Dr. Brookner gives four DL talks: 1. Array and Radar Breakthroughs, 2. MIMO Radar, 3. Cognitive Adaptive Array Processing (CAAP) and 4. Metamaterials. Dr. Brookner was the organizer and chairman of the first Boston IEEE International Symposium On Phased Array Systems and Technology (ARRAY-1996). He also was chairman of the second one of 2003 and honorary chairman for following ones of 2010, 2013, 2016 and planned one for 2019. Typically over 500 attend this very successful symposium from around the world. He was Technical Chairman for the Boston RadarCon-2007.

S. Goldstein, M. Picciolo, W. Myrick
T12 - Advances in Radar Detection and Applications

We teach advanced radar detection from first principles and develop the concepts behind Space- Time Adaptive Processing (STAP) and advanced, yet practical, adaptive algorithms for realistic data environments. Detection theory is reviewed to provide the student with both the understanding of how STAP is derived, as well as to gain an appreciation for how the assumptions can be modified based on different signal and clutter models. Radar received data components are explained in detail and the mathematical models are derived so that the student can program their own MATLAB or other simulation code to represent target, jammer and clutter from a statistical framework and construct optimal and suboptimal radar detector structures. The course covers state-of-the-art STAP techniques that address many of the limitations of traditional STAP solutions, offering insight into future research trends. Additionally, we cover applications of advanced detection algorithms including modern hardware realizations and other related applications such as COTS based distributed array STAP beamforming.

Biography S. Goldstein : Dr. Scott Goldstein is the Chief Strategy and Technology Officer of ENSCO. Previously he was the Chief Technologist for Dynetics, Inc., and the Manager of the Advanced Missions Solutions Group in Chantilly, VA. He has over 30 years of operational, engineering, leadership and management experience. He has performed fundamental research and development in Radar detection and estimation theory, Space Time Adaptive Processing, as well as in advanced systems concepts involving intelligence sensors, ISR, space superiority capabilities and cyber exploitation. He is a Fellow of the IEEE (for contributions to adaptive detection in radar and communications), a Fellow of the Washington Academy of Sciences and a member of the IEEE Radar Systems Panel. He received the 2002 IEEE Fred Nathanson Radar Engineer of the Year Award. 

Biography M. Picciolo : Dr. Mike Picciolo is the Chief Technology Officer, NSS Division at ENSCO. Previously he was the Associate Chief Technologist for Dynetics and Chief Engineer of the Advanced Missions Solutions
Group in Chantilly, VA. He has in-depth expertise in Radar, ISR systems, Space Time Adaptive Processing and conducts research in advanced technology development programs. Has deep domain expertise in SAR/GMTI radar, communications theory, waveform diversity, wireless communications, hyperspectral imagery, IMINT, SIGINT, and MASINT intelligence disciplines. He is a member of the IEEE Radar Systems Panel and received the 2007 IEEE Fred Nathanson Radar Engineer of the Year Award.

Biography W. Myrick : Dr. Wil Myrick is currently a Principal Engineer in the Position, Navigation and Timing group at ENSCO. He is recognized as a world leader in MASINT in addition to having over 20 years of experience in STAP, SIGINT, communications, and anti-jamming for GPS. He was awarded the U.S. Black Engineer of the Year Award for Career Achievement in Industry for his outstanding contributions to the MASINT community. Dr. Myrick holds MS and PhD degrees in Electrical Engineering from Purdue University and a BS in Electronics Engineering from Norfolk State University.

S. Watts & L. Rosenberg
T13 - Recent Developments in Maritime Radar Detection

Traditionally airborne maritime radar has used non-coherent detection methods but controlling false alarms from sea clutter and accurately predicting performance remains a challenge. Over the past decade, there has been significant new research into the characterisation and modelling of sea clutter in order to improve maritime target detection methods.  This has also led to better techniques for predicting the performance of the new radar detection schemes.  This tutorial will include a comprehensive coverage of new research in three key areas.  The first is sea clutter modelling for both monostatic and active and passive bistatic radar systems.  The second area looks at a number of detection schemes which have been proposed for detection of targets in sea clutter. These include both non-coherent techniques based on constant false alarm rate (CFAR) schemes, coherent single and multichannel techniques and approaches based on time-frequency analysis and sparse signal separation. The final part of the tutorial links these two areas by showing how sea clutter models can be used to determine the expected detection performance of both non-coherent and coherent detection schemes.

Biography S. Watts : Prof. Simon Watts graduated from the University of Oxford in 1971, obtained an MSc and DSc from the University of Birmingham in 1972 and 2013, respectively, and a PhD from the CNAA in 1987.  He was deputy Scientific Director and Technical Fellow in Thales UK until 2013 and is a Visiting Professor in the department of Electronic and Electrical Engineering at University College London.  He joined Thales (then EMI Electronics) in 1967 and since then has worked on a wide range of radar and EW projects, with a particular research interest in maritime radar and sea clutter.  He is author and co-author of over 60 journal and conference papers, a book on sea clutter and several patents.  He was chairman of the international radar conference RADAR-97 in Edinburgh UK.  Professor Watts received the IEE JJ Thomson Premium Award in 1987 and the IEE Mountbatten Premium Award in 1991. He serves on the IEEE AESS Radar Systems Panel, is an Associate Editor for Radar for the IEEE Transactions AES and a member of the Editorial Board of IET Radar, Sonar & Navigation.  He was appointed MBE in 1996 for services to the UK defence industry and is a Fellow of the Royal Academy of Engineering, Fellow of the IET, Fellow of the IMA and Fellow of the IEEE.

Biography L. Rosenberg : Dr. Luke Rosenberg received the Bachelor of Electrical and Electronic Engineering in 1999, the Masters in Signal and Information Processing in 2001 and the Ph.D. in 2007, all from the University of Adelaide, Australia. In 2016, he completed the Graduate Program in Scientific Leadership at the University of Melbourne, Australia. He is currently a Discipline Lead for Maritime Airborne Radar in the Defence Science and Technology Group, Australia. His work covers the areas of radar image formation, adaptive filtering, detection theory, and radar and clutter modelling. He is an adjunct Senior Lecturer at the University of Adelaide, and in 2014 spent 12 months at the U.S. Naval Research Laboratory (NRL) working on algorithms for focusing moving scatterers in synthetic aperture radar imagery. Dr. Rosenberg has jointly received the best paper awards at international radar conferences in 2014 and 2015 and has presented a number of tutorials at the IEEE American (national) and international radar conferences. In 2016, he received the prestigious Defence Science and Technology Achievement Award for Science and Engineering Excellence and in 2017, the NRL ARPAD award with colleagues from the NRL, and in 2018, the IEEE AESS Fred Nathanson award for ‘Fundamental Experimental and Theoretical Work in Characterizing Radar Sea Clutter’.

L. Vignaud,
T14 - Radar target signatures recognition, from physical to statistical features

The practice of constructing an object recognition algorithm has made a great leap in the last decade, at least in optics. The evolution of recognition algorithms can be roughly be outlined starting from algorithms incorporating both bottom-up and top-bottom approaches, in which a pre-designed model is fitted to image data, through physical feature extraction and matching, to machine learning and deep learning neural networks based algorithms (i.e. statistical feature extraction), which are considered nowadays the gold standard. But, meanwhile, what impact has been observed in the EM field ? In this tutorial, we will review the main properties of radar target signatures and the major physical features that can be observed by a radar. A special focus will be made on SAR/ISAR images phenomenology and corresponding ATR/NCTR schemes, including recent trends in the use of deep-learning and convolutional networks. We will also look at some EM simulations to populate the evermore greedy databases with model made based signatures. The need for a pertinent performance assessment of machine learning algorithms will also be stressed.

Biography : Dr. Luc Vignaud is a former student of Ecole Normale Supérieure de Lyon. He received his Master/DEA in Signal Processing at Supelec (Ecole Supérieure d’Electricité) in 1993 and his PhD on “Radar Imaging of non-stationary Scenes” in 1996 at UPMC (now Paris Sorbonne University). Since, he is a research engineer in The Radar Department of ONERA, The French Aerospace Lab. He is an external Professor at Supelec and UPMC where he lectures “Radar Signal Processing” within the “Masters in Embedded Sensors”. He has presented several tutorials at international radar conferences and Nato Lecture Series. Since 2001, he has been chairing 4 Nato Task Groups and co-organized 2 Nato Specialist Meetings on SAR/ISAR Target Recognition. He has been recipient of the 2017 Nato Science and Technology individual Scientific Award. His research interests are mainly in the field of radar signal and SAR/ISAR images processing, radar simulations, and machine learning.

H. Li, B. Himed, Y.D. Zhang,
T15 - Signal Processing for Passive Radar

An outline of the topics to be covered in the tutorial is as follows.
1. Fundamentals of passive radar signal processing: overview of passive radar systems, illuminators of opportunity (IOs), bistatic range equation and performance prediction, adaptive techniques for signal conditioning and direct signal/clutter removal.
2. Passive detection with noisy reference: We will first present a statistical analysis of the crosscorrelator to illustrate its sensitivity to noisy reference and interference. Then we will introduce a group of passive detectors recently proposed by explicitly accounting for the effect of noisy reference, which offer notable improvement over the cross‐correlator.
3. No‐reference passive detection: It may be difficult to obtain a reference signal in some cases due to lack of line‐of‐sight path from the IO to the passive receiver. We will discuss passive detectors that do not need a reference signal, including the classic energy detector and several recent solutions based on the eigenvalues of the Gram matrix.
4. Joint mitigation of noisy reference and interference: We will discuss several recent developments in passive detection and estimation in the presence of noisy reference, direct‐path interference, and clutter, by exploiting the correlation of the unknown IO waveform.
5. Radar imaging using sparse reconstruction: We formulate passive radar imaging as sparse reconstruction problems, which are solved using compressive sensing methods. We further introduce group and structure‐aware sparse reconstruction approaches to exploit multi‐static observation and target spatial extent for enhanced capability and performance.
6. Space‐time adaptive processing (STAP): We introduce group sparse reconstruction methods for effective ground clutter profile estimation and suppression for airborne passive radar based on a small number of secondary range cells. We show that the angle‐Doppler domain clutter profile exhibits group sparsity over close range cells, which leads to clutter profile estimations.

Biography H. Li : Hongbin Li received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, in 1991 and 1994, respectively, and the Ph.D. degree from the University of Florida, Gainesville, FL, in 1999, all in electrical engineering. From July 1996 to May 1999, he was a Research Assistant in the Department of Electrical and Computer Engineering at the University of Florida. Since July 1999, he has been with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, where he is a Professor. He was a Summer Visiting Faculty Member at the Air Force Research Laboratory in the summers of 2003, 2004 and 2009. His general research interests include statistical signal processing, radars, and wireless communications. Dr. Li received the IEEE Jack Neubauer Memorial Award in 2013 for the best systems paper published in the IEEE Transactions on Vehicular Technology, the Outstanding Paper Award from the IEEE AFICON Conference in 2011, the Harvey N. Davis Teaching Award in 2003 and the Jess H. Davis Memorial Award for excellence in research in 2001 from Stevens Institute of Technology, and the Sigma Xi Graduate Research Award from the University of Florida in 1999. He is a current member of the IEEE SPS Signal Processing Theory and Methods Technical Committee and the IEEE SPS Sensor Array and Multichannel Technical Committee. He is currently an Associate Editor for EURASIP Signal Processing (Elsevier) and IEEE Transactions on Signal Processing. He served on the editorial boards for IEEE Transactions on Wireless Communications and IEEE Signal Processing Letters. He was a Guest Editor for IEEE Journal of Selected Topics in Signal Processing (Special Issue on Advanced Signal Processing Techniques for Radar Applications, 2015) and EURASIP Journal on Applied Signal Processing. He has been involved in various conference organization activities, including serving as a General Co‐Chair for the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, Hoboken, NJ, June 17‐20, 2012.

Biography B. Himed : Braham Himed received his Engineer Degree in electrical engineering from Ecole Nationale Polytechnique of Algiers in 1984, and his M.S. and Ph.D. degrees both in electrical engineering, from Syracuse University, Syracuse, NY, in 1987 and 1990, respectively. Dr. Himed is a Technical Advisor with the Air Force Research Laboratory, Sensors Directorate, RF Technology Branch, in Dayton Ohio, where he is involved with several aspects of radar developments. His research interests include detection, estimation, multichannel adaptive signal processing, time series analyses, array processing, adaptive processing, waveform diversity, MIMO, passive radar, and over the horizon radar. Dr. Himed is the recipient of the 2001 IEEE region I award for his work on bistatic radar systems, algorithm development, and phenomenology. He is a Fellow of the IEEE and a Past Chair of the AES Radar Systems Panel. He is the recipient of the 2012 IEEE Warren White award for excellence in radar engineering. Dr. Himed is also a Fellow of AFRL (Class of 2013).

Biography Y.D. Zhang : Yimin D. Zhang received his B.S. degree from the Xidian University, China, in 1982, and his M.S. and Ph.D. degrees from the University of Tsukuba, Japan, in 1985 and 1988, respectively. Dr. Zhang joined the faculty of the Department of Radio Engineering, Southeast University, Nanjing, China, in 1988. He served as a Director and Technical Manager at the Oriental Science Laboratory, Yokohama, Japan, from 1989 to 1995, a Senior Technical Manager at the Communication Laboratory Japan, Kawasaki, Japan, from 1995 to 1997, and a Visiting Researcher at the ATR Adaptive Communications Research Laboratories, Kyoto, Japan, from 1997 to 1998. He was with the Villanova University, Villanova, PA, from 1998 to 2015, where he was a Research Professor with the Center for Advanced ommunications. Since August 2015, he has been with the Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, where he is currently an Associate Professor. He was a Summer Visiting Faculty Member at the Air Force Research Laboratory in the summers of 2012 and 2013. His general research interests lie in the areas of statistical signal and array processing applied for radar, communications, and navigation. Dr. Zhang is a member of the Sensor Array and Multichannel Technical Committee of the IEEE Signal Processing Society. He is an Associate Editor for the IEEE Transactions on Signal Processing, and serves on the Editorial Board of the Signal Processing journal. He was an Associate Editor for the IEEE Signal Processing Letters during 2006–2010, and an Associate Editor for the Journal of the Franklin Institute during 2007–2013. He is a guest for Digital Signal Processing, and was guest editor for EURASIP Journal on Advances in Signal Processing.

M. Nouvel,
T16 - Benefits of smart simulation in Airborne Radar development

On one hand, Radars, electronic warfare systems or any Radio-Frequency systems are more and more complex systems. On the other hand, benches and real life testing are more expensive, not always available, because of hardware failures, or/and not adapted to test more and more complex scenarii (for example scenario with multiple and connected platforms). Therefore the functional performance of those Radio-Frequency systems can’t be easily evaluated. This is especially true for airborne systems. Furthermore the size of team working on such systems/projects is around hundreds engineers with different skills. Thus it could be have some bottlenecks between the different skills/team (Antenna designers, digital engineering, software engineering) impacting particularly the development, validation and qualification planning. Thanks to the increase of computing, an old paradigm of development/validation process, used especially for space program, became accessible to other applications. This “paradigm” represents now a real breakthrough in the development/validation process of airborne Radio-Frequency systems, such as Radars.
The first part of the tutorial is dedicated to:
• Definitions: what is “Smart simulation”, “digital twins”, “virtual system”, “early validation”?

• Methodology and rules to apply the new kind of development/validation process.
The second part of the tutorial is dedicated to the illustration on several examples (airborne radars). Practical works and quiz will be done in an interactive way with the attendees.
The last part of the tutorial is dedicated to the benefits of “smart simulation”, the potential perspectives and the conclusion.

Biography : Myriam NOUVEL was graduated of ENSEA (High School of Electronics) in 1998 and received the PhD degree in signal processing from the Université de Paris-Sud, France in 2001. She is with Thales DMS- France since 2001. After being team leader of the algorithms studies in Electronics Warfare application entity, she is now in charge of the Simulation Department, with the Technical Directorate. She also follows frequencies spectrum management policies since 2007 for the Defense Mission Systems Global Business Unit. She received the SEE Ampere Medal in 2009 and the Thevenin Price in 2015. She is with the organization of the IEEE International Radar Conference in France since several years (Organisation chairman of the International IEEE RADAR 2014) and in the technical committee of most of the radar conferences, such as International Radar Symposium (IRS), EuRad. She is author and co-author of more than 25 papers and more than 10 patents.

C. Clemente, F. Fioranelli
T17 - Micro-Doppler Signatures: Principles, Analysis and applications

The micro-Doppler analysis is the study of the time varying Doppler effect from multiple scattering centres with different dynamics. Over the past few years the potentials of micro-Doppler signature analysis has been demonstrated in areas such as enhanced target detection, characterization and tracking. The advantage of micro-Doppler resides in the distinctive Doppler modulation from different targets components that allow unique features to be obtained.
This topic is highly relevant to the conference as micro-Doppler can play a significative role in modern radar systems in both civilian and defence applications. For instance, thanks to the enhancement in computational capabilities, the exploitation of micro-Doppler analysis is possible in a plethora of applications such as condition monitoring, urban surveillance, healthcare, automotive and manufacturing.
This topic is of great interest to both the academic and industrial community and it is expected that a good number of attendees (10-15) will be at the tutorial. The target attendees include all levels of professionals, from graduate students to professors and from engineers to industrial managers

Biography : Dr Carmine Clemente is Lecturer and Chancellor’s Fellow in Sensors Systems and Asset Management at the Department of Electronic and Electrical Engineering at the University of Strathclyde, Glasgow, UK since 2016. He obtained his PhD in Signal Processing from the University of Strathclyde in 2012. He received the Laurea cum laude (BSc) and Laurea Specialistica cum laude (MSc) degrees in Telecommunications Engineering from Universita' degli Studi del Sannio, Benevento, Italy, in 2006 and 2009, respectively.
Dr Clemente research interests lie on advanced radar signal processing algorithms, MIMO radars, passive radar systems and micro-Doppler analysis, extraction and classification.
He published over 90 papers in journals and proceedings and he was co-recipient of the best student paper competition at the IEEE Radar conference 2015.

Dr Francesco Fioranelli has been a Lecturer at the School of Engineering, Universtiy of Glasgow, since April 2016. He received his Laurea cum laude (BEng) and Laurea Specialistica cum laude (MEng) degrees in telecomunication engineering from the Università Politecnica delle Marche, Ancona, Italy, in 2007 and 2010, respectively. He then obtained his PhD in through-wall radar imaging from Durham University, UK, in February 2014, and was a Reserach Associate on multistatic radar at University College London with Prof Hugh Griffiths from 2014 to March 2016.
Dr Fioranelli’s reserach interests are related to multistatic and distributed radar systems and classification and machine learning techniques applied to radar data, in particular feature extraction and classification from micro-Doppler data. He has published over 50 papers in academic journals and conferences and 2 book chapters, and is a co-recipient of the prize for best paper published in IET RSN (2017).