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Journal Articles Sensors Year : 2020

Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

Abstract

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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Dates and versions

hal-02974893 , version 1 (22-10-2020)

Identifiers

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Simona Vermiglio, Victor Champaney, Abel Sancarlos, Fatima Daim, Jean Claude Kedzia, et al.. Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems. Sensors, 2020, 20 (19), pp.1-15. ⟨10.3390/s20195686⟩. ⟨hal-02974893⟩
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