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Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

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, wi...

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Autores principales: Vermiglio, Simona, Champaney, Victor, Sancarlos, Abel, Daim, Fatima, Kedzia, Jean Claude, Duval, Jean Louis, Diez, Pedro, Chinesta, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583965/
https://www.ncbi.nlm.nih.gov/pubmed/33028022
http://dx.doi.org/10.3390/s20195686
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author Vermiglio, Simona
Champaney, Victor
Sancarlos, Abel
Daim, Fatima
Kedzia, Jean Claude
Duval, Jean Louis
Diez, Pedro
Chinesta, Francisco
author_facet Vermiglio, Simona
Champaney, Victor
Sancarlos, Abel
Daim, Fatima
Kedzia, Jean Claude
Duval, Jean Louis
Diez, Pedro
Chinesta, Francisco
author_sort Vermiglio, Simona
collection PubMed
description 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.
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spelling pubmed-75839652020-10-29 Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems Vermiglio, Simona Champaney, Victor Sancarlos, Abel Daim, Fatima Kedzia, Jean Claude Duval, Jean Louis Diez, Pedro Chinesta, Francisco Sensors (Basel) Letter 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. MDPI 2020-10-05 /pmc/articles/PMC7583965/ /pubmed/33028022 http://dx.doi.org/10.3390/s20195686 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Vermiglio, Simona
Champaney, Victor
Sancarlos, Abel
Daim, Fatima
Kedzia, Jean Claude
Duval, Jean Louis
Diez, Pedro
Chinesta, Francisco
Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
title Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
title_full Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
title_fullStr Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
title_full_unstemmed Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
title_short Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
title_sort parametric electromagnetic analysis of radar-based advanced driver assistant systems
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583965/
https://www.ncbi.nlm.nih.gov/pubmed/33028022
http://dx.doi.org/10.3390/s20195686
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