119017 20221020151542.0 doi 10.3390/s20195686 sideral 130231 ART-2020-130231 eng Vermiglio, Simona Parametric electromagnetic analysis of radar-based advanced driver assistant systems 2020 Efficient and optimal design of radar-based Advanced Driver Assistant Systems (ADAS) needs the evaluation of many different electromagnetic solutions for evaluating the impact of the radome on the electromagnetic wave propagation. Because of the very high frequency at which these devices operate, with the associated extremely small wavelength, very fine meshes are needed to accurately discretize the electromagnetic equations. Thus, the computational cost of each numerical solution for a given choice of the design or operation parameters, is high (CPU time consuming and needing significant computational resources) compromising the efficiency of standard optimization algorithms. In order to alleviate the just referred difficulties the present paper proposes an approach based on the use of reduced order modeling, in particular the construction of a parametric solution by employing a non-intrusive formulation of the Proper Generalized Decomposition, combined with a powerful phase-angle unwrapping strategy for accurately addressing the electric and magnetic fields interpolation, contributing to improve the design, the calibration and the operational use of those systems. Access copy available to the general public Unrestricted info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.576 2020 INSTRUMENTS & INSTRUMENTATION 14 / 64 = 0.219 2020 Q1 T1 CHEMISTRY, ANALYTICAL 26 / 83 = 0.313 2020 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 82 / 273 = 0.3 2020 Q2 T1 0.636 2020 Analytical Chemistry 2020 Q2 Atomic and Molecular Physics, and Optics 2020 Q2 Biochemistry 2020 Q2 Medicine (miscellaneous) 2020 Q2 Information Systems 2020 Q2 Instrumentation 2020 Q2 Electrical and Electronic Engineering 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Champaney, Victor Sancarlos, Abel Daim, Fatima Kedzia, Jean Claude Duval, Jean Louis Diez, Pedro Chinesta, Francisco 20, 19 (2020), 5686 [15 pp.] Sensors Sensors 1424-8220 862749 http://zaguan.unizar.es/record/119017/files/texto_completo.pdf Versión publicada 2335202 http://zaguan.unizar.es/record/119017/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:119017 articulos driver 2022-10-20-09:19:38 ARTICLE