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EuRAD: PINN-Inspired Unsupervised SAR Despeckling with Pixel-Wise Adaptive Weighting
Seunghui Jang, Yeonjae Kim, Youngwook Kim
Proceedings of the 23rd European Radar Conference PINN-Inspired Unsupervised SAR Despeckling with Pixel-Wise Adaptive Weighting Seunghui Jang1, Yeonjae Kim2, Youngwook Kim3 Electronic Engineering, Sogang University, Korea {1jangtmdgml99, 2bestlegina}-gmail.com, 3youngkim-sogang.ac.kr methods require clean labels and large-scale datasets, while unsupervised and self-supervised methods often involv
EuRAD: Validation of SARCASTIC v2.0 Simulated Synthetic Aperture Radar Data Against Digitally Twinned Laboratory Measurements
Michael Woollard, Daniel Andre, Hugh Griffiths, Matthew A. Ritchie
Proceedings of the 23rd European Radar Conference Validation of SARCASTIC v2.0 Simulated Synthetic Aperture Radar Data Against Digitally Twinned Laboratory Measurements # $ # # Michael Woollard , Daniel Andre , Hugh Griffiths , Matthew Ritchie # $ Department of Electronic and Electrical Engineering, University College London, UK Centre for Defence Engineering and Physical Science, Cranfield
EuRAD: Array Design on Curved Surfaces for Near-Field MIMO Imaging Radar
Gabriel Schnoering, Halil Durmus
Proceedings of the 23rd European Radar Conference Array Design on Curved Surfaces for Near-Field MIMO Imaging Radar 1 2 Gabriel Schnoering , Halil Durmu? 1 R&D Department, Fujikura Technology Europe Switzerland, Switzerland 2 R&D Department, Fujikura Technology Europe Türkiye, Türkiye gabriel.schnoering-fujikura-technology.com models. Rather than minimizing far-field array patterns, we optimiz
EuRAD: Monitoring River Freeze-Thaw State Using Polarimetric GNSS-R
Ankit Regmi, Leo-Juhani Merio, Pertti Ala-aho, Marko E. Leinonen
Proceedings of the 23rd European Radar Conference Monitoring River Freeze-Thaw State using Polarimetric GNSS-R Ankit Regmi1 , Leo-Juhani Meriö2 , Pertti Ala-aho3 , Marko E. Leinonen1 1 Centre for Wireless Communications, University of Oulu, Finland 2 Finnish Environment Institute, Finland 3 Water, Energy and Environmental Engineering, University of Oulu, Finland {ankit.regmi, marko.e.leinonen, p
EuRAD: Synthetic Automotive Radar Point Cloud Generation Using a Conditional Variational Autoencoder
Ankush Roy, Justin Dauwels, Francesco Fioranelli, Geethu Joseph, Ashish Pandharipande
Proceedings of the 23rd European Radar Conference Synthetic Automotive Radar Point Cloud Generation using a Conditional Variational Autoencoder Ankush Roy? , Justin Dauwels? , Francesco Fioranelli? , Geethu Joseph? , Ashish Pandharipande? ? Delft University of Technology, The Netherlands ? NXP Semiconductors, The Netherlands {A.Roy-2, J.H.G.Dauwels, F.Fioranelli, G.Joseph}-tudelft.nl, ashish.p
EuRAD: A Generic Virtual-Transmitter Decoder for Velocity Disambiguation in DDMA MIMO FMCW Radar
Lea Volpin, Bertrand Le Gal, Guillaume Ferre, Dominique Delbecq
Proceedings of the 23rd European Radar Conference A Generic Virtual-Transmitter Decoder for Velocity Disambiguation in DDMA MIMO FMCW Radar Léa Volpin13 , Bertrand Le Gal2 , Guillaume Ferré1 , Dominique Delbecq3 1 IMS laboratory, CNRS UMR 5218, Bordeaux-INP, Univ. Bordeaux, France 2 IRISA laboratory, UMR 6074, Univ. Rennes, France 3 NXP Semiconductors, France {lea.volpin, guillaume.ferre}-ims-bo
EuRAD: Parameter-Level Spin Estimation of Space Targets Using Multi-Perspective InISAR
Bangjie Zhang, Marco Martorella, Marina Gashinova
Proceedings of the 23rd European Radar Conference Parameter-Level Spin Estimation of Space Targets Using Multi-Perspective InISAR Bangjie Zhang, Marco Martorella, Marina Gashinova School of Engineering, University of Birmingham, UK b.zhang.6-bham.ac.uk Abstract ? Accurate kinematic parameters of noncooperative space targets are essential for space domain awareness (SDA). This paper proposes a par
EuRAD: Coherent Optical ISAR Imaging Using Dual-Axis Motion Tracking
Florentin Junghanns, Christian Waldschmidt, Mario Mueh
Proceedings of the 23rd European Radar Conference Coherent Optical ISAR Imaging using Dual-Axis Motion Tracking Florentin Junghanns, Christian Waldschmidt, Mario Mueh Institute of Microwave Engineering, Ulm University, Germany florentin.junghanns-uni-ulm.de Abstract ? Inverse Synthetic Aperture Radar (ISAR) is a well-established technique in coherent microwave radar for producing high-resolution
EuRAD: A Principled Empirical Game-Theoretic Framework with Deep-RL for Cognitive Jamming Against Radar
Emma Hawes, Gregory Palmer, Daniel J.B. Harrold, Paul O'Shaughnessy, Bashar Ahmad
Proceedings of the 23rd European Radar Conference A Principled Empirical Game-theoretic Framework with Deep-RL for Cognitive Jamming Against Radar Emma Hawes, Gregory Palmer, Daniel J.B. Harrold, Paul O?Shaughnessy, Bashar Ahmad BAE Systems Digital Intelligence, UK {emma.hawes4, gregory.palmer}-baesystems.com To avoid opponent overfitting and unstable training dynamics [3], we use an adversarial
EuRAD: Subarray-Based Scheduling and Resource Allocation for Multi-Function Radar via Reinforcement Learning
MohammadHossein Alishahi, Raviraj S. Adve, Zhen Ding, Peter W. Moo
Proceedings of the 23rd European Radar Conference Subarray-Based Scheduling and Resource Allocation for Multi-Function Radar via Reinforcement Learning MohammadHossein Alishahi# , Raviraj S. Adve# , Zhen Ding$ , Peter W. Moo$ # $ Department of Electrical and Computer Engineering, University of Toronto, Canada Radar Sensing and Exploitation Section, Defence Research and Development Canada (DRDC)
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