Dome-shaped mmWave lens antenna optimization for wide-angle scanning and scan loss mitigation using geometric optics and multiple scattering

Youn, Y. et al. (2022) Dome-shaped mmWave lens antenna optimization for wide-angle scanning and scan loss mitigation using geometric optics and multiple scattering. IEEE Journal on Multiscale and Multiphysics Computational Techniques, 7, pp. 142-150. (doi: 10.1109/JMMCT.2022.3180550)

Abstract

This paper presents a new accurate and efficient design methodology for complex integrated lens antenna (ILA), to achieve wide-angle beam coverage with scan loss mitigation at the millimeter-wave (mmWave) spectrum. The proposed ILA comprises inhomogeneous curvatures with internal and external center off-sets, in which multiple parameters instigate high order and non-linear behaviors. A two-dimensional (2-D) ray-tracing model is used to estimate the refractions on the elliptically curved boundaries based on geometrical optics. This approach is integrated into the particle swarm optimization of the 2-D ray-tracing model to determine the near-optimum geometric configuration of the ILA. Denoted as Geometric Optics-based Multiple Scattering (GOMS), the computational memory usage is reduced by a factor of 10,000 using this approach. The devised ILA achieves a wide-angle beam coverage of 156° with a scan loss of 2.10 dB alongside a broad impedance bandwidth of 35.0 GHz to 42.0 GHz. The measurement results for the performance of the fabricated prototype of the ILA validate the wide-angle scanning with scan loss mitigation inferred from the simulation results. This confirms the effectiveness of this method for complex design challenges involving multi-variants and restricted computational resources.

• Item Type: Articles
• Additional Information: This work was supported by Samsung Electronics Co., Ltd. and Next Generation Engineering Research Program of National Research Foundation of Korea (NRF) (No.2019H1D8A2106519).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Liu, Professor Bo
• Authors: Youn, Y., Choi, J., Kim, D., Omar, A. A., Choi, J., Chang, S., Yoon, I., Ko, S.-T., Lee, J., Lee, Y., Akinsolu, M. O., Liu, B., and Hong, W.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: IEEE Journal on Multiscale and Multiphysics Computational Techniques
• Publisher: IEEE
• ISSN: 2379-8793
• ISSN (Online): 2379-8793
• Published Online: 08 June 2022
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in IEEE Journal on Multiscale and Multiphysics Computational Techniques 7: 142-150
• Publisher Policy: Reproduced in accordance with the publisher copyright policy