Markus Gardill of Friedrich-Alexander University

Radar, Lidar and camera-based sensor systems will enable advanced autonomous driving functions soon. Several next generation car models are announced to have more than 10 radar sensors per vehicle, allowing for the generation of a radar-based 360° surround view necessary for advanced driver assistance as well as semi-autonomous operation. Current automotive radar technology is almost exclusively based on the principle of frequency-modulated continuous-wave (FMCW) radars. However, together with an increase of hardware capabilities such as higher carrier fast-chirp FMCW processing. Fundamentals of target range and velocity estimation based on the radar data matrix, the spatial dimension available using modern single-input multiple-output (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. Traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented. It is this problem of interference, together with some added functionality, which motivated the proposal of alternative radar waveforms such as pseudo-random or orthogonal-frequency division 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 have been added to traditional FMCW radar system design and signal processing. The presentation will review the fundamentals of radar and FMCW. After introducing the system architecture of traditional and modern automotive FMCW radar sensors and the concepts of distributed or centralized processing and sensor data fusion, the presentation will dive into the details of multiplexing (OFDM) radar for automotive radar systems.

Biography:

Markus Gardill (S'11-M'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 engineering from the Friedrich-Alexander-University Erlangen-Nürnberg, Germany, in 2010 and 2015, respectively. In 2010, he joined the Institute for Electronics Engineering at the Friedrich-Alexander-University Erlangen-Nürnberg​ as a research assistant and teaching fellow. From 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 testing for the international production network. In 2016 he joined InnoSenT GmbH as Senior Software Developer for automotive radar signal processing algorithms. He currently is lecturer for Wireless Automotive Electronics at the Friedrich-Alexander University Erlangen-Nürnberg.

His main research interests include radar and communication systems, antenna (array) design, and signal processing algorithms. His particular interest is spatio-temporal processing such as e.g. beamforming and direction-of-arrival estimation with a focus on combining the worlds of signal processing and microwave/electromagnetics.

Dr. Gardill serves as a member of the IEEE MTT-S Technical Coordinating Committee Digital Signal Processing (MTT-9). He regularly acts as reviewer and TPRC member for several journals and conferences. He was selected as Distinguished Microwave Lecturer (DML) for the DML term 2018-2020 with a presentation focusing automotive radar systems.

Email:

Address:Friedrich-Alexander University, , Erlangen-Nürnberg , Bayern, Germany