Experimental Validation of 3D Printed GRIN Lens for mmWave Automotive Radar

This paper presents the experimental validation of a 3D-printed Gradient Index (GRIN) lens designed for automotive radar applications. Building on prior work that introduced the core lensing elements, this study utilizes a more cost-effective extrusion 3D printing method than the expensive stereolithography process. By employing a smaller unit cell design, simulation time was significantly reduced, enabling a global optimization routine. As a result, the half-power beam width (HPBW) was successfully increased from 50 deg to 139 deg by integrating the GRIN lens, demonstrating its potential to enhance radar performance.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999950
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Experimental Validation of 3D Printed GRIN Lens for mmWave Automotive Radar

Abolfazl Haddadi, Coen van de Ven, Andrés Alayón Glazunov
Millimeter-Wave Propagation and Modeling
article

Experimental Validation of 3D Printed GRIN Lens for mmWave Automotive Radar

Abolfazl Haddadi, Coen van de Ven, Andrés Alayón Glazunov
article en

Abstract

This paper presents the experimental validation of a 3D-printed Gradient Index (GRIN) lens designed for automotive radar applications. Building on prior work that introduced the core lensing elements, this study utilizes a more cost-effective extrusion 3D printing method than the expensive stereolithography process. By employing a smaller unit cell design, simulation time was significantly reduced, enabling a global optimization routine. As a result, the half-power beam width (HPBW) was successfully increased from 50 deg to 139 deg by integrating the GRIN lens, demonstrating its potential to enhance radar performance.

University of Twente (NL)
Horizon 2020 Framework Programme, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 91%
Millimeter-Wave Propagation and Modeling
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