BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Turkey BEGIN:DAYLIGHT DTSTART:20380119T061407 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+03 END:DAYLIGHT BEGIN:STANDARD DTSTART:20160907T000000 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=1WE;BYMONTH=9 TZNAME:+03 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190324T135541Z UID:383DE670-091F-43FE-AD23-16B06D47F2F9 DTSTART;TZID=Turkey:20190322T133000 DTEND;TZID=Turkey:20190322T153000 DESCRIPTION:IEEE-MTT Distinguished Lecturer Seminar by Dr. Markus Gardill\n \nTopic: "Automotive Radar – A Signal Processing Perspective on Current Technology and Future Systems"\n\nLocation: Middle East Technical Universi ty\, Ankara\, Turkey\n\nMarkus Gardill (S’11-M’15) was born in Bamberg \, Germany in 1985. He received the Dipl.-Ing. and Dr.-Ing. degree in syst ems of information and multimedia technology/electrical engineering from t he Friedrich-Alexander-University Erlangen-Nürnberg\, Germany\, in 2010 a nd 2015\, respectively.\n\nIn 2010\, he joined the Institute for Electroni cs Engineering at the Friedrich-Alexander-University Erlangen-Nürnberg as a research assistant and teaching fellow. From 2014 to 2015 he was head o f the team Radio Communication Technology. In late 2015 he joined the Robe rt Bosch GmbH as an R&D engineer for optical and imaging metrology systems and leading the cluster of non destructive testing for the international production network. In 2016 he joined the automotive radar business segmen t of InnoSenT GmbH\, where he is currently head of the team radar signal p rocessing & tracking.\n\nHis main research interest include radar and comm unication systems\, antenna (array) design\, and signal processing algorit hms. His particular interest is spatio-temporal processing such as e.g. be amforming and direction-of-arrival estimation with a focus on combining th e worlds of signal processing and microwave/electromagnetics.\n\nDr. Gardi ll is an IEEE Young Professional. He is member of the IEEE Microwave Theor y and Techniques Society (IEEE MTT-S) and serves as a member of the IEEE M TT-S Technical Committee Digital Signal Processing (MTT-9). He regularly a cts as reviewer and TPRC member for several journals and conferences and s erves as Distinguished Microwave Lecturer (DML) for the DML term 2018-2020 with a presentation focussing automotive radar systems.\n\nAutomotive Rad ar – A Signal Processing Perspective on Current Technology and Future Sy stems\n\nRadar systems are a key technology of modern vehicle safety & com fort systems. Without doubt it will only be the symbiosis of Radar\, Lidar and camera-based sensor systems which can enable advanced autonomous driv ing functions soon. Several next generation car models are such announced to have up to 10 radar sensors per vehicle\, allowing for the generation o f a radar-based 360° surround view necessary for advanced driver assistan ce as well as semi-autonomous operation. Hence the demand from the automot ive industry for high-precision\, multi-functional radar systems is higher than ever before\, and the increased requirements on functionality and se nsor capabilities lead to research and development activities in the field of automotive radar systems in both industry and academic worlds.\n\nCurr ent automotive radar technology is almost exclusively based on the princip le of frequency-modulated continuous-wave (FMCW) radar\, which has been we ll known for several decades. However\, together with an increase of hardw are capabilities such as higher carrier frequencies\, modulation bandwidth s and ramp slopes\, as well as a scaling up of simultaneously utilized tra nsmit and receive channels with independent modulation features\, new degr ees of freedom have been added to traditional FMCW radar system design and signal processing. The anticipated presentation will accordingly introduc e the topic with a review on the fundamentals of radar and FMCW radar. Aft er introducing the system architecture of traditional and modern automotiv e FMCW radar sensors\, with e.g. insights into the concepts of distributed or centralized processing and sensor data fusion\, the presentation will dive into the details of fast-chirp FMCW processing – the modulation mod e which is used by the vast majority of current automotive FMCW radar syst ems. Starting with the fundamentals of target range and velocity estimatio n based on the radar data matrix\, the spatial dimension available using m odern single-input multiple-output (SIMO) and multiple-input multiple-outp ut (MIMO) radar systems will be introduced and radar processing based on t he radar data cube is discussed. Of interest is the topic of angular resol ution – one of the key drawbacks which e.g. render Lidar systems superio r to radar in some situations. Consequently\, traditional and modern metho ds for direction of arrival estimation in FMCW radar systems are presented \, starting from traditional monopulse-like algorithms to modern framework s for superresolution DoA estimation. The presentation will then introduce the great challenge of FMCW radar system interference. While FMCW radar i nterference is a challenge which can be handled using adaptive signal proc essing in today’s systems\, it will become a severe problem with the inc reasing number of radar-sensors equipped vehicles in dense traffic situati ons in the near future and a solution to the expected increase in interfer ence is still an open question.\n\nIt is this problem of interference\, to gether with some added functionality\, which motivated the proposal of alt ernative radar waveforms such as pseudo-random or orthogonal-frequency div ision multiplexing (OFDM) radar for automotive radar systems. Although not yet of great interest from an industrial perspective\, the fundamentals a nd capabilities of both technologies will be introduced in the remainder o f the anticipated presentation.\n\nSpeaker(s): Dr. Markus Gardill\, \n\nAn kara\, Ankara\, Türkiye LOCATION:Ankara\, Ankara\, Türkiye ORGANIZER:ozergul@metu.edu.tr SEQUENCE:1 SUMMARY:IEEE AP/MTT/EMC/ED TURKEY CHAPTER DISTINGUISHED LECTURER SEMINAR BY DR. MARKUS GARDILL URL;VALUE=URI:https://events.vtools.ieee.org/m/196426 X-ALT-DESC:Description: <br /><p>IEEE-MTT Distinguished Lecturer Seminar by Dr. Markus Gardill</p>\n<p>Topic: "Automotive Radar &ndash\; A Signal Pro cessing Perspective on Current Technology and Future Systems"</p>\n<p>Loca tion: Middle East Technical University\, Ankara\, Turkey</p>\n<p><strong>M arkus Gardill</strong>&nbsp\;(S&rsquo\;11-M&rsquo\;15) was born in Bamberg \, Germany in 1985.&nbsp\; He received the Dipl.-Ing. and Dr.-Ing. degree in systems of information and multimedia technology/electrical engineering from the Friedrich-Alexander-University Erlangen-N&uuml\;rnberg\, Germany \, in 2010 and 2015\, respectively.</p>\n<p>In 2010\, he joined the Instit ute for Electronics Engineering at the Friedrich-Alexander-University Erla ngen-N&uuml\;rnberg as a research assistant and teaching fellow. From 2014 to 2015 he was head of the team Radio Communication Technology. In late 2 015 he joined the Robert Bosch GmbH as an R&amp\;D engineer for optical an d imaging metrology systems and leading the cluster of non destructive tes ting for the international production network. In 2016 he joined the autom otive radar business segment of InnoSenT GmbH\, where he is currently head of the team radar signal processing &amp\; tracking.</p>\n<p>His main res earch interest include radar and communication systems\, antenna (array) d esign\, and signal processing algorithms. His particular interest is spati o-temporal processing such as e.g. beamforming and direction-of-arrival es timation with a focus on combining the worlds of signal&nbsp\; processing and microwave/electromagnetics.</p>\n<p>Dr. Gardill is an IEEE Young Profe ssional. He is member of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S) and serves as a member of the IEEE MTT-S Technical Committee Digital Signal Processing (MTT-9). He regularly acts as reviewer and TPRC member for several journals and conferences and serves as Distinguished Mi crowave Lecturer (DML) for the DML term 2018-2020 with a presentation focu ssing automotive radar systems.</p>\n<p>&nbsp\;</p>\n<p><strong>Automotive Radar &ndash\; A Signal Processing Perspective on Current Technology and Future Systems</strong></p>\n<p>Radar systems are a key technology of mode rn vehicle safety &amp\; comfort systems. Without doubt it will only be th e symbiosis of Radar\, Lidar and camera-based sensor systems which can ena ble advanced autonomous driving functions soon. Several next generation ca r models are such announced to have up to 10 radar sensors per vehicle\, a llowing for the generation of a radar-based 360&deg\; surround view necess ary for advanced driver assistance as well as semi-autonomous operation. H ence the demand from the automotive industry for high-precision\, multi-fu nctional radar systems is higher than ever before\, and the increased requ irements on functionality and sensor capabilities lead to research and dev elopment activities in the field of automotive radar systems in both indus try and academic worlds.</p>\n<p>Current automotive radar technology is al most 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 carri er frequencies\, modulation bandwidths and ramp slopes\, as well as a scal ing up of simultaneously utilized transmit and receive channels with indep endent modulation features\, new degrees of freedom have been added to tra ditional FMCW radar system design and signal processing. The anticipated p resentation will accordingly introduce the topic with a review on the fund amentals of radar and FMCW radar. After introducing the system architectur e of traditional and modern automotive FMCW radar sensors\, with e.g. insi ghts into the concepts of distributed or centralized processing and sensor data fusion\, the presentation will dive into the details of fast-chirp F MCW processing &ndash\; the modulation mode which is used by the vast majo rity of current automotive FMCW radar systems. Starting with the fundament als of target range and velocity estimation based on the radar data matrix \, the spatial dimension available using modern single-input multiple-outp ut (SIMO) and multiple-input multiple-output (MIMO) radar systems will be introduced and radar processing based on the radar data cube is discussed. Of interest is the topic of angular resolution &ndash\; one of the key dr awbacks which e.g. render Lidar systems superior to radar in some situatio ns. Consequently\, traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented\, starting from traditiona l monopulse-like algorithms to modern frameworks for superresolution DoA e stimation. The presentation will then introduce the great challenge of FMC W radar system interference. While FMCW radar interference is a challenge which can be handled using adaptive signal processing in today&rsquo\;s sy stems\, it will become a severe problem with the increasing number of rada r-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>It is this problem of interference\, together with some added functionality\, which motivated the proposal of alternative radar wa veforms such as pseudo-random or orthogonal-frequency division multiplexin g (OFDM) radar for automotive radar systems. Although not yet of great int erest from an industrial perspective\, the fundamentals and capabilities o f both technologies will be introduced in the remainder of the anticipated presentation.</p> END:VEVENT END:VCALENDAR