BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:CET BEGIN:DAYLIGHT DTSTART:20200329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20191027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20200219T063556Z UID:E4178A73-8E67-42AA-BD9D-6734B78003E3 DTSTART;TZID=CET:20200212T110000 DTEND;TZID=CET:20200212T123000 DESCRIPTION:Abstract: “Automotive Radar – A Signal Processing Perspecti ve on Current Technology and Future Systems”\n\nRadar systems are a key technology of modern vehicle safety & comfort systems. Without doubt it wi ll only be the symbiosis of Radar\, Lidar and camera-based sensor systems which can enable advanced autonomous driving functions soon. Several next generation car models are such announced to have more than 10 radar sensor s per vehicle\, allowing for the generation of a radar-based 360° surroun d view necessary for advanced driver assistance as well as semi-autonomous operation. Hence the demand from the automotive industry for high-precisi on\, multi-functional radar systems is higher than ever before\, and the i ncreased requirements on functionality and sensor capabilities lead to res earch and development activities in the field of automotive radar systems in both industry and academic worlds.\n\nCurrent automotive radar technolo gy is almost exclusively based on the principle of frequency-modulated con tinuous-wave (FMCW) radar\, which has been well known for several decades. However\, together with an increase of hardware capabilities such as high er carrier frequencies\, modulation bandwidths and ramp slopes\, as well a s a scaling up of simultaneously utilized transmit and receive channels wi th independent modulation features\, new degrees of freedom have been adde d to traditional FMCW radar system design and signal processing. The antic ipated presentation will accordingly introduce the topic with a review on the fundamentals of radar and FMCW radar. After introducing the system arc hitecture of traditional and modern automotive FMCW radar sensors\, with e .g. insights into the concepts of distributed or centralized processing an d sensor data fusion\, the presentation will dive into the details of fast -chirp FMCW processing – the modulation mode which is used by the vast m ajority of current automotive FMCW radar systems. Starting with the fundam entals of target range and velocity estimation based on the radar data mat rix\, the spatial dimension available using modern single-input multiple-o utput (SIMO) and multiple-input multiple-output (MIMO) radar systems will be introduced and radar processing based on the radar data cube or higher- dimension radar-data tensors is discussed. Of interest is the topic of ang ular resolution – one of the key drawbacks which e.g. render Lidar syste ms superior to radar in some situations. Consequently\, traditional and mo dern methods for direction of arrival estimation in FMCW radar systems are presented\, starting from traditional monopulse-like algorithms to modern sparse reconstruction techniques. Besides other topics such as blindness\ , rain & snow and near-field detection the presentation will then introduc e the great challenge of FMCW radar system interference. While FMCW radar interference is a challenge which can be handled using adaptive signal pro cessing in today’s systems\, it will become a severe problem with the in creasing number of radar-sensors equipped vehicles in dense traffic situat ions in the near future and a solution to the expected increase in interfe rence is still an open question.\n\nIt is this problem of interference\, t ogether with some added functionality\, which motivated the proposal of al ternative radar waveforms such as pseudo-random or orthogonal-frequency di vision multiplexing (OFDM) radar for automotive radar systems. Although no t yet of great interest from an industrial perspective\, the fundamentals and capabilities of both technologies will be introduced in the remainder of the anticipated presentation.\n\nBiography:\n\nMarkus Gardill (S’11-M ’15) was born in Bamberg\, Germany in 1985. He received the Dipl.-Ing. a nd Dr.-Ing. degree in systems of information and multimedia technology/ele ctrical engineering from the Friedrich-Alexander-University Erlangen-Nürn berg\, Germany\, in 2010 and 2015\, respectively.\n\nIn 2010\, he joined t he Institute for Electronics Engineering at the Friedrich-Alexander-Univer sity Erlangen-Nürnberg​ as a research assistant and teaching fellow. Fr om 2014 to 2015 he was head of the team Radio Communication Technology. In late 2015 he joined the Robert Bosch GmbH as an R&D engineer for optical and imaging metrology systems and leading the cluster of non-destructive t esting for the international production network. In 2016 he joined InnoSen T GmbH as Senior Software Developer for automotive radar signal processing algorithms.\n\nDuring his affilation with the Institute for Electronics E ngineering he taught Circuits & Systems for Communication\, Digital Electr onic Systems\, Programmable Electronic Systems\, and Wireless Automotive E lectronics. He currently is lecturer for Wireless Automotive Electronics a t the Friedrich-Alexander University Erlangen-Nürnberg.\n\nHis main resea rch interest include radar and communication systems\, antenna (array) des ign\, and signal processing algorithms. His particular interest is spatio- temporal processing such as e.g. beamforming and direction-of-arrival esti mation with a focus on combining the worlds of signal processing and micro wave/electromagnetics.\n\nDr. Gardill is a member of the IEEE Microwave Th eory and Techniques Society (IEEE MTT-S) and serves as a member of the IEE E MTT-S Technical Coordinating Committee Digital Signal Processing (MTT-9) . He regularly acts as reviewer and TPRC member for several journals and c onferences. He is selected as Distinguished Microwave Lecturer (DML) for t he DML term 2018-2020 with a presentation focussing automotive radar syste ms.\n\nEindhoven\, Noord-Brabant\, Netherlands LOCATION:Eindhoven\, Noord-Brabant\, Netherlands ORGANIZER:u.johannsen@tue.nl SEQUENCE:1 SUMMARY:DML by Markus Gardill on "Automotive Radar – A Signal Processing Perspective on Current Technology and Future Systems" URL;VALUE=URI:https://events.vtools.ieee.org/m/219773 X-ALT-DESC:Description: <br /><p><strong><u>Abstract:</u> &ldquo\;Automotiv e Radar &ndash\; A Signal Processing Perspective on Current Technology and Future Systems&rdquo\;</strong></p>\n<p>&nbsp\;</p>\n<p>Radar systems are a key technology of modern vehicle safety &amp\; comfort systems. Without doubt it will only be the symbiosis of Radar\, Lidar and camera-based sen sor systems which can enable advanced autonomous driving functions soon. S everal next generation car models are such announced to have more than 10 radar sensors per vehicle\, allowing for the generation of a radar-based 3 60&deg\; surround view necessary for advanced driver assistance as well as semi-autonomous operation. Hence the demand from the automotive industry for high-precision\, multi-functional radar systems is higher than ever be fore\, and the increased requirements on functionality and sensor capabili ties lead to research and development activities in the field of automotiv e radar systems in both industry and academic worlds.</p>\n<p>&nbsp\;</p>\ n<p>Current automotive radar technology is almost exclusively based on the principle of frequency-modulated continuous-wave (FMCW) radar\, which has been well known for several decades. However\, together with an increase of hardware capabilities such as higher carrier frequencies\, modulation b andwidths and ramp slopes\, as well as a scaling up of simultaneously util ized transmit and receive channels with independent modulation features\, new degrees of freedom have been added to traditional FMCW radar system de sign and signal processing. The anticipated presentation will accordingly introduce the topic with a review on the fundamentals of radar and FMCW ra dar. After introducing the system architecture of traditional and modern a utomotive FMCW radar sensors\, with e.g. insights into the concepts of dis tributed or centralized processing and sensor data fusion\, the presentati on will dive into the details of fast-chirp FMCW processing &ndash\; the m odulation mode which is used by the vast majority of current automotive FM CW radar systems. Starting with the fundamentals of target range and veloc ity estimation based on the radar data matrix\, the spatial dimension avai lable using modern single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) radar systems will be introduced and radar processi ng based on the radar data cube or higher-dimension radar-data tensors is discussed. Of interest is the topic of angular resolution &ndash\; one of the key drawbacks which e.g. render Lidar systems superior to radar in som e situations. Consequently\, traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented\, starting from traditional monopulse-like algorithms to modern sparse reconstruction tech niques. Besides other topics such as blindness\, rain &amp\; snow and near -field detection the presentation will then introduce the great challenge of FMCW radar system interference. While FMCW radar interference is a chal lenge which can be handled using adaptive signal processing in today&rsquo \;s systems\, it will become a severe problem with the increasing number o f radar-sensors equipped vehicles in dense traffic situations in the near future and a solution to the expected increase in interference is still an open question.</p>\n<p>&nbsp\;</p>\n<p>It is this problem of interference \, together with some added functionality\, which motivated the proposal o f alternative radar waveforms such as pseudo-random or orthogonal-frequenc y division multiplexing (OFDM) radar for automotive radar systems. Althoug h not yet of great interest from an industrial perspective\, the fundament als and capabilities of both technologies will be introduced in the remain der of the anticipated presentation.</p>\n<p>&nbsp\;</p>\n<p><strong><u>Bi ography:</u></strong></p>\n<p>Markus Gardill (S&rsquo\;11-M&rsquo\;15) was born in Bamberg\, Germany in 1985. He received the Dipl.-Ing. and Dr.-Ing . degree in systems of information and multimedia technology/electrical en gineering from the Friedrich-Alexander-University Erlangen-N&uuml\;rnberg\ , Germany\, in 2010 and 2015\, respectively.</p>\n<p>&nbsp\;</p>\n<p>In 20 10\, he joined the Institute for Electronics Engineering at the Friedrich- Alexander-University Erlangen-N&uuml\;rnberg​ as a research assistant an d teaching fellow. From 2014 to 2015 he was head of the team Radio Communi cation Technology. In late 2015 he joined the Robert Bosch GmbH as an R&am p\;D engineer for optical and imaging metrology systems and leading the cl uster of non-destructive testing for the international production network. In 2016 he joined InnoSenT GmbH as Senior Software Developer for automoti ve radar signal processing algorithms.</p>\n<p>&nbsp\;</p>\n<p>During his affilation with the Institute for Electronics Engineering he taught Circui ts &amp\; Systems for Communication\, Digital Electronic Systems\, Program mable Electronic Systems\, and Wireless Automotive Electronics. He current ly is lecturer for Wireless Automotive Electronics at the Friedrich-Alexan der University Erlangen-N&uuml\;rnberg.</p>\n<p>&nbsp\;</p>\n<p>His main r esearch interest include radar and communication systems\, antenna (array) design\, and signal processing algorithms. His particular interest is spa tio-temporal processing such as e.g. beamforming and direction-of-arrival estimation with a focus on combining the worlds of signal processing and m icrowave/electromagnetics.</p>\n<p>&nbsp\;</p>\n<p>Dr. Gardill is a member of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S) and serv es as a member of the IEEE MTT-S Technical Coordinating Committee Digital Signal Processing (MTT-9). He regularly acts as reviewer and TPRC member f or several journals and conferences. He is selected as Distinguished Micro wave Lecturer (DML) for the DML term 2018-2020 with a presentation focussi ng automotive radar systems.</p> END:VEVENT END:VCALENDAR