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EuRAD: High Power High Efficiency 270--320GHz Source Based on Discrete Schottky Diodes
Proceedings of the 15th European Radar Conference High Power High Efficiency 270-320 GHz Source Based on Discrete Schottky Diodes Diego Moro-Melgar1, Oleg Cojocari1, Ion Oprea1 1 ACST GmbH, Josef-Bautz-Str. 15, 63457 Hanau, Germany {diego.moro-melgar, oleg.cojocari, ion.oprea}@acst.de used in Schottky multipliers with input frequencies up to Wband. However, the implementation of MMIC chips has
EuRAD: CM-CFAR Parameter Learning Based Square-Law Detector for Foreign Object Debris Radar
Proceedings of the 15th European Radar Conference CM-CFAR Parameter Learning Based Square-Law Detector For Foreign Object Debris Radar Kudret Akçapınar1 , Süleyman Baykut2 TÜB˙ITAK-B˙ILGEM-BTE, Department of Radar Systems, Gebze/Kocaeli, Turkey {kudret.akcapinar1 , suleyman.baykut2 }@tubitak.gov.tr to model the clutter and noise processes correctly. In radar based FOD detection solutions, it is
EuRAD: Dual-Channel Single Sideband Transmitter in 45nm CMOS SOI for a 70GHz OFDM Radar
Proceedings of the 15th European Radar Conference Dual-Channel Single Sideband Transmitter in 45 nm CMOS SOI for a 70 GHz OFDM Radar Daniel Schindler* , Michael Thiel* , Mohamed Elkhouly+ , Yikun Yu+ , Benedikt Schweizer# , Juergen Hasch* and Christian Waldschmidt# * Robert Bosch GmbH, Corporate Sector Research and Advance Engineering, 70465 Stuttgart, Germany Bosch GmbH, Engineering ICs Core IP
EuRAD: 3D Printed Slotted Waveguide Array Antenna for Automotive Radar Applications in W-Band
Proceedings of the 15th European Radar Conference 3D Printed Slotted Waveguide Array Antenna for Automotive Radar Applications in W-Band K. Lomakin# , D. Simon* , M. Sippel# , K. Helmreich# , E. Seler* , Z. Tong* , R. Reuter* , and G. Gold# # Institute of Microwaves and Photonics, Friedrich-Alexander Univeristy Erlangen-N¨urnberg * NXP Semiconductors Germany GmbH konstantin.lomakin@fau.de, domin
EuRAD: IQ Imbalance Robust OFDM Radar Waveform
Proceedings of the 15th European Radar Conference IQ Imbalance Robust OFDM Radar Waveform Andr´e Bourdoux, Marc Bauduin, Claude Desset IMEC, Kapeldreef 75, B-3001 Leuven, Belgium {andre.bourdoux, marc.bauduin, claude.desset}@imec.be Abstract — We address the problem of IQ imbalance in OFDM radars. IQ imbalance is known to cause severe distortion in OFDM receivers, manifesting itself as interfere
EuRAD: Analog Carrier Recovery for Broadband Wireless Communication Links
Proceedings of the 15th European Radar Conference Analog Carrier Recovery for Broadband Wireless Communication Links Parisa Harati#1 , Aleks Dyskin*#2 , Ingmar Kallfass#3 # Institute of Robust Power Semiconductor Systems, University of Stuttgart, Germany and Erna Viterbi Faculty of Electrical Engineering, Technion, Israel {1 parisa.harati, 3 ingmar.kallfass}@ilh.uni-stuttgart.de, 2 aleksd@campus
EuRAD: Long Range-Doppler Demonstration of a 95GHz FMCW Radar
Proceedings of the 15th European Radar Conference Long range-Doppler Demonstration of a 95 GHz FMCW Radar Raquel R. Monje, Ken B. Cooper, Robert J. Dengler, Corey J. Cochrane, Stephen L. Durden, Adrian Tang, and Mathieu Choukroun Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA, USA 91109-8099 Raquel.Rodriguez.Monje@jpl.nasa.gov Abstract — We presen
EuRAD: Combined Backscatter and Forward Scatter Radar Detection of People
Proceedings of the 15th European Radar Conference Combined backscatter and forward scatter radar detection of people Jacco J. M. de Wit, Wim L. van Rossum Department of Radar Technology, TNO, The Netherlands jacco.dewit@tno.nl, wim.vanrossum@tno.nl A pair of transceiver nodes constitutes a bistatic radar system measuring the bistatic backscatter of moving targets. At the same time the forward sc
EuRAD: Deep Learning Based Human Activity Classification in Radar Micro-Doppler Image
Proceedings of the 15th European Radar Conference Deep Learning based Human Activity Classification in Radar Micro-Doppler Image Yuan He#1 , Yang Yang* , Yue Lang* , Danyang Huang* Xiaojun Jing# Chunping Hou* # Beijing University of Posts and Telecommunications, Beijing, China * Tianjin University, Tianjin, China 1 yuanhe@bupt.edu.cn etc. Then a classifier is trained based on these features to
EuRAD: Autonomous Driving Features Based on 79GHz Polarimetric Radar Data
Proceedings of the 15th European Radar Conference Autonomous Driving Features based on 79 GHz Polarimetric Radar Data Stefan Trummer#1 , Gerhard F. Hamberger*2 , Richard Koerber#3 , Uwe Siart*4 , Thomas F. Eibert*5 # ASTYX, Ottobrunn, Germany University of Munich, Germany {1 s.trummer, 3 r.koerber}@astyx.de, {2 gerhard.hamberger, 4 uwe.siart, 5 eibert}@tum.de * Technical II. P OLARIMETRIC R ADA