An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas

Yuan Chu Xu; Amir Boag; Mei Song Tong

doi:10.1109/USNC-URSI52151.2023.10238131

An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas

Yuan Chu Xu, Amir Boag, Mei Song Tong^*

^*Corresponding author for this work

School of Electrical Engineering

Tongji University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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.

Original language	English
Title of host publication	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	301-302
Number of pages	2
ISBN (Electronic)	9781665442282
DOIs	https://doi.org/10.1109/USNC-URSI52151.2023.10238131
State	Published - 2023
Event	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Portland, United States Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume	2023-July
ISSN (Print)	1522-3965

Conference

Conference	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Country/Territory	United States
City	Portland
Period	23/07/23 → 28/07/23

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10.1109/USNC-URSI52151.2023.10238131

Cite this

Xu, Y. C., Boag, A., & Tong, M. S. (2023). An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings (pp. 301-302). (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USNC-URSI52151.2023.10238131

Xu, Yuan Chu ; Boag, Amir ; Tong, Mei Song. / An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas. 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 301-302 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

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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.",

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series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

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Xu, YC, Boag, A & Tong, MS 2023, An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas. in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), vol. 2023-July, Institute of Electrical and Electronics Engineers Inc., pp. 301-302, 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023, Portland, United States, 23/07/23. https://doi.org/10.1109/USNC-URSI52151.2023.10238131

An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas. / Xu, Yuan Chu; Boag, Amir; Tong, Mei Song.
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 301-302 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Xu YC, Boag A, Tong MS. An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 301-302. (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). doi: 10.1109/USNC-URSI52151.2023.10238131

An Accurate Method for Modeling High-Order Mandelbrot Fractal Patch Antennas

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