@inproceedings{c8d22ebb8b2848568230555a7fd0e4d9,
title = "An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas",
abstract = "In this paper, a method for two-dimensional Mandelbrot fractal programmatic modeling is proposed. Compared with the existing similar method, this method has a faster speed, higher accuracy, and full removal of manual operation. It not only solves the problem that it is usually difficult to accurately model and simulate the Mandelbrot fractal structures, but also further solves the problem of modeling more complicated Mandelbrot fractals with larger iteration numbers. The method can lay a foundation for the automatic optimization simulation of two-dimensional Mandelbrot fractal antenna. The method is based on MATLAB programming and can be easily applied to the well-known ANSYS HFSS and AutoCAD.",
author = "Xu, {Yuan Chu} and Amir Boag and Tong, {Mei Song}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 ; Conference date: 23-07-2023 Through 28-07-2023",
year = "2023",
doi = "https://doi.org/10.1109/USNC-URSI52151.2023.10238131",
language = "الإنجليزيّة",
series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "301--302",
booktitle = "2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings",
address = "الولايات المتّحدة",
}