Dome-Shaped mmWave Lens Antenna Optimization for Wide-Angle Scanning and Scan Loss Mitigation Using Geometric Optics and Multiple Scattering

Youn, Youngno, Choi, Jaehong, Kim, Daehyeon, Omar, Ahmed Abdelmottaleb, Choi, Jaehyun, Chang, Suho, Yoon, Inseop, Ko, Seung-Tae, Lee, Jungyub, Lee, Youngju, Akinsolu, Mobayode O., Liu, Bo and Hong, Wonbin (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. ISSN 2379-8793

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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: Article
Keywords: Geometric optics , integrated lens antenna , particle swarm optimization , scan loss mitigation , wide-angle scanning
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 15 Aug 2022 13:21
Last Modified: 15 Aug 2022 13:21
URI: https://wrexham.repository.guildhe.ac.uk/id/eprint/17901

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