@inproceedings{e9d1867e00934ce08540cdfe633dab3d,
title = "A Compact Inverted-F Antenna covering 2.4-4.8 GHz and its Miniaturization Driven by Surrogate Model",
abstract = "This paper presents a compact coplanar waveguide-fed inverted-F antenna (IFA) which covers the 2.44.8 GHz frequency band. In order to minimize its overall size, we propose to first construct a stochastic surrogate model that quantifying the dependency of the antenna response on those predominant geometric parameters, and then use it as a lightweight engine to drive a genetic algorithm (GA) for the speed-up seeking of the optimum design. It is shown that the proposed approach can further reduce the overall size by 1.35\% compared to the initial design while keeping the expected bandwidth between 2.44.8 GHz, i.e. 66.7\% relative to the central frequency. It is indeed a considerable gain that can hardly be achieved using traditional manual trial-and-error methods. The overall size of the optimized design is 0.66 g × 0.3 g.",
keywords = "Inverted-F antenna, genetic algorithm, miniaturization, surrogate model",
author = "Jinxin Du and Christophe Roblin and Yang, \{Xue Xia\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 13th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2021 ; Conference date: 23-05-2021 Through 26-05-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.1109/ICMMT52847.2021.9618637",
language = "English",
series = "2021 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2021 - Proceedings",
}