BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20180311T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20171105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190103T234716Z UID:2486F0FF-E1DD-11E7-833E-0050568D7F66 DTSTART;TZID=US/Pacific:20180115T160000 DTEND;TZID=US/Pacific:20180115T180000 DESCRIPTION:Radar systems are a key technology of modern vehicle safety & c omfort systems. Without doubt it will only be the symbiosis of Radar\, Lid ar and camera-based sensor systems which can enable advanced autonomous dr iving functions soon. Several next generation car models are such announce d to have more than 10 radar sensors per vehicle\, allowing for the genera tion of a radar-based 360° surround view necessary for advanced driver as sistance as well as semi-autonomous operation. Hence the demand from the a utomotive industry for high-precision\, multi-functional radar systems is higher than ever before\, and the increased requirements on functionality and sensor capabilities lead to research and development activities in the field of automotive radar systems in both industry and academic worlds.\n \nCurrent automotive radar technology is almost exclusively based on the p rinciple of frequency-modulated continuous-wave (FMCW) radar\, which has b een well known for several decades. However\, together with an increase of hardware capabilities such as higher carrier frequencies\, modulation ban dwidths and ramp slopes\, as well as a scaling up of simultaneously utiliz ed transmit and receive channels with independent modulation features\, ne w degrees of freedom have been added to traditional FMCW radar system desi gn and signal processing. The anticipated presentation will accordingly in troduce the topic with a review on the fundamentals of radar and FMCW rada r. After introducing the system architecture of traditional and modern aut omotive FMCW radar sensors\, with e.g. insights into the concepts of distr ibuted or centralized processing and sensor data fusion\, the presentation will dive into the details of fast-chirp FMCW processing – the modulati on mode which is used by the vast majority of current automotive FMCW rada r systems. Starting with the fundamentals of target range and velocity est imation based on the radar data matrix\, the spatial dimension available u sing modern single-input multiple-output (SIMO) and multiple-input multipl e-output (MIMO) radar systems will be introduced and radar processing base d on the radar data cube or higher-dimension radar-data tensors is discuss ed. Of interest is the topic of angular resolution – one of the key draw backs which e.g. render Lidar systems superior to radar in some situations . Consequently\, traditional and modern methods for direction of arrival e stimation in FMCW radar systems are presented\, starting from traditional monopulse-like algorithms to modern sparse reconstruction techniques. Besi des other topics such as blindness\, rain & snow and near-field detection the presentation will then introduce the great challenge of FMCW radar sys tem interference. While FMCW radar interference is a challenge which can b e handled using adaptive signal processing in today’s systems\, it will become a severe problem with the increasing number of radar-sensors equipp ed vehicles in dense traffic situations in the near future and a solution to the expected increase in interference is still an open question.\n\nIt is this problem of interference\, together with some added functionality\, which motivated the proposal of alternative radar waveforms such as pseud o-random or orthogonal-frequency division multiplexing (OFDM) radar for au tomotive radar systems. Although not yet of great interest from an industr ial perspective\, the fundamentals and capabilities of both technologies w ill be introduced in the remainder of the anticipated presentation.\n\nSpe aker(s): Dr. Markus Gardill \, \n\n2575 McCabe Way\, Irvine\, California\, United States\, 92614 LOCATION:2575 McCabe Way\, Irvine\, California\, United States\, 92614 ORGANIZER:hector.delossantos@ieee.org SEQUENCE:3 SUMMARY:Automotive Radar – A Signal Processing Perspective on Current Tec hnology and Future Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/49191 X-ALT-DESC:Description: <br /><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 more than 10 radar sensors per vehicle \, allowing for the generation of a radar-based 360&deg\; surround view ne cessary for advanced driver assistance as well as semi-autonomous operatio n. Hence the demand from the automotive industry for high-precision\, mult i-functional radar systems is higher than ever before\, and the increased requirements on functionality and sensor capabilities lead to research and development activities in the field of automotive radar systems in both i ndustry and academic worlds.</p>\n<p>&nbsp\;</p>\n<p>Current automotive ra dar technology is almost exclusively based on the principle of frequency-m odulated continuous-wave (FMCW) radar\, which has been well known for seve ral decades. However\, together with an increase of hardware capabilities such as higher carrier frequencies\, modulation bandwidths and ramp slopes \, as well as a scaling up of simultaneously utilized transmit and receive channels with independent modulation features\, new degrees of freedom ha ve been added to traditional FMCW radar system design and signal processin g. The anticipated presentation will accordingly introduce the topic with a review on the fundamentals of radar and FMCW radar. After introducing th e system architecture of traditional and modern automotive FMCW radar sens ors\, with e.g. insights into the concepts of distributed or centralized p rocessing and sensor data fusion\, the presentation will dive into the det ails of fast-chirp FMCW processing &ndash\; the modulation mode which is u sed by the vast majority of current automotive FMCW radar systems. Startin g with the fundamentals of target range and velocity estimation based on t he radar data matrix\, the spatial dimension available using modern single -input multiple-output (SIMO) and multiple-input multiple-output (MIMO) ra dar systems will be introduced and radar processing based on the radar dat a 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 some situations. Consequentl y\, traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented\, starting from traditional monopulse-lik e algorithms to modern sparse reconstruction techniques. Besides other top ics such as blindness\, rain &amp\; snow and near-field detection the pres entation will then introduce the great challenge of FMCW radar system inte rference. While FMCW radar interference is a challenge which can be handle d using adaptive signal processing in today&rsquo\;s systems\, it will bec ome a severe problem with the increasing number of 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 add ed functionality\, which motivated the proposal of alternative radar wavef orms such as pseudo-random or orthogonal-frequency division multiplexing ( OFDM) radar for automotive radar systems. Although not yet of great intere st from an industrial perspective\, the fundamentals and capabilities of b oth technologies will be introduced in the remainder of the anticipated pr esentation.</p> END:VEVENT END:VCALENDAR