Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783599500079661056 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7583965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vermigliosimona parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT champaneyvictor parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT sancarlosabel parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT daimfatima parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT kedziajeanclaude parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT duvaljeanlouis parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT diezpedro parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems AT chinestafrancisco parametricelectromagneticanalysisofradarbasedadvanceddriverassistantsystems |