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EuRAD: Link Budget and Design Approach of a Non-Terrestrial 5G Automotive Antenna
Proceedings of the 19th European Radar Conference Link Budget and Design Approach of a NonTerrestrial 5G Automotive Antenna Umais Tayyab#1, Hans-Peter Petry*2, Ashish Kumar#3, Md. Golam Robbani#4, Thomas Wack+5, Matthias A. Hein#6 # RF & Microwave Research Group, Thuringian Center of Innovation in Mobility, Technische Universität Ilmenau, Ilmenau, Germany * Deutsches Zentrum für Satellitenkommun
EuRAD: Improved TOA and Pulse Width Estimation for Wideband Signal in Electronic Warfare Systems
Proceedings of the 19th European Radar Conference Improved TOA and Pulse Width Estimation for Wideband Signal in Electronic Warfare Systems Jong-Hyeon Bang1, Do-Hyun Park2, Hyoung-Nam Kim3 Department of Electronics Engineering, Pusan National University, Republic of Korea {1bjh4138, 2dohpark, 3hnkim}@pusan.ac.kr Abstract — Estimating the parameters of the enemy's threat signal is an essential ta
EuRAD: A Fast and Accurate Convolutional Neural Network for LPI Radar Waveform Recognition
Proceedings of the 19th European Radar Conference A Fast and Accurate Convolutional Neural Network for LPI Radar Waveform Recognition Do-Hyun Park1 , Jong-Hyeon Bang2 , Ji-Hun Park3 , Hyoung-Nam Kim4 Department of Electronics Engineering, Pusan National University, Republic of Korea {1 dohpark, 2 bjh4138, 3 pos02112, 4 hnkim}@pusan.ac.kr Existing studies on CNN-based waveform recognition have on
EuRAD: Automotive Object Detection on Highly Compressed Range-Beam-Doppler Radar Data
Proceedings of the 19th European Radar Conference Automotive Object Detection on Highly Compressed Range-Beam-Doppler Radar Data Michael Meyer*†1 , Sherif Nekkah*‡ , Georg Kuschk*2 , Sven Tomforde†3 * Cruise, Munich, Germany University, Kiel, Germany ‡ Technical University Munich, Germany 2 1 { michael.meyer, georg.kuschk}@getcruise.com, 3 st@informatik.uni-kiel.de † Kiel Abstract — Transmittin
EuRAD: Complex-Valued Neural Networks for Millimeter Wave FMCW-Radar Angle Estimations
Proceedings of the 19th European Radar Conference Complex-Valued Neural Networks for Millimeter Wave FMCW-Radar Angle Estimations Kevin Kaiser1,4 , Jonas Daugalas2,4 , Javier L´opez-Randulfe2 , Alois Knoll2 , Robert Weigel1 , Fabian Lurz3 1 Institute for Electronics Engineering, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany 2 Department of Informatics, Technical University
EuRAD: Human Interpretable Radar Through Deep Generative Models
Proceedings of the 19th European Radar Conference Human Interpretable Radar Through Deep Generative Models Nir Dvorecki, Yuval Amizur, Leor Banin EyeC Radar, Mobileye, Israel {nird, yamizur, leorb}@mobileye.com Abstract — Imaging radars are a powerful new sensor aimed at the autonomous vehicle market. With high angular resolution and dynamic range, such radars can discern between different adjac
EuRAD: High Accuracy Position Calculation of a Hovering UAV Using a Rotating Radar
Proceedings of the 19th European Radar Conference High Accuracy Position Calculation of a Hovering UAV Using a Rotating Radar Philipp Stockel *#1 , Patrick Wallrath*#2 , Nils Pohl*#3 , Reinhold Herschel#4 * Institute for Integrated Systems, Ruhr-University Bochum, Bochum, Germany Institute for High Frequency Physics and Radar Techniques, Wachtberg, Germany {1 philipp.stockel,2 patrick.wallrath,
EuRAD: Using Widely Separated MIMO Antennas for UAV Radar Direction-of-Arrival Estimation
Proceedings of the 19th European Radar Conference Using Widely Separated MIMO Antennas for UAV Radar Direction-of-Arrival Estimation Max Schurwanz#1 , Silas Oettinghaus*2 , Jan Mietzner#3 , Peter Adam Hoeher*4 # University of Applied Sciences (HAW) Hamburg, Faculty of Design, Media & Information (DMI), Finkenau 35, D-22081 Hamburg, Germany * Kiel University (CAU), Faculty of Engineering, Kaisers
EuRAD: Multi-Hole Waveguide Directional Coupler Design via Brick-Based Microwave Design Methodology
Proceedings of the 19th European Radar Conference Multi-Hole Waveguide Directional Coupler Design via Brick-Based Microwave Design Methodology Sefa Erdogdu#1, Anil Arici#2, Umut Bulus#3, Huseyin Aniktar*#4 # Antenom Antenna Technologies, Turkey * Tubitak Bilgem, Turkey 1 2 3 { sefa.erdogdu, anil.arici, umut.bulus}@antenom.com, 4huseyin.aniktar@tubitak.gov.tr of active learning. In addition, thi
EuRAD: Unknown Object Recognition Using the Manifold Structure of Class Distributions
Proceedings of the 19th European Radar Conference Unknown Object Recognition Using the Manifold Structure of Class Distributions Ryoma Yataka, Masashi Shiraishi Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan {Yataka.Ryoma@dw, Shiraishi.Masashi@ap}.MitsubishiElectric.co.jp has been a lot of research on explicitly obtaining the probability distribution of KKC,