On Decomposition-Based Surrogate-Assisted Optimization of Leaky Wave Antenna Input Characteristics for Beam Scanning Applications

On Decomposition-Based Surrogate-Assisted Optimization of Leaky Wave Antenna Input Characteristics for Beam Scanning Applications

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Recent years have witnessed a growing interest in reconfigurable antenna systems.Travelling wave antennas (TWAs) and leaky wave antennas (LWAs) are representative examples of structures featuring a great level of flexibility (e.g., straightforward implementation of beam scanning), relatively simple geometrical structure, low profile, and low fabrication cost.

Notwithstanding, the design process of TWAs/LWAs is a vegas golden knights background challenging endeavor because efficient handling of their electrical/field characteristics requires repetitive full-wave electromagnetic (EM) analyses, which is computationally expensive.In this paper, a novel approach to rapid optimization of LWA’s input characteristics is proposed, based on structure decomposition and rendition of fast surrogate models of the antenna unit cells.The surrogates are combined into a single metamodel representing antenna input characteristics, which enables low-cost adjustment of the geometry parameters.The presented methodology is demonstrated through the design of several LWAs operating in the frequency bands of 8.

2 GHz to 11.2 GHz, 6.2 GHz to 8.2 GHz, and 3.

8 GHz to 4.7 GHz.Numerical results are validated through physical measurements of the fabricated peperomia double duty array prototype.