Issue |
EPJ Web Conf.
Volume 224, 2019
IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 8 | |
Section | Mathematical Modeling of Physical Phenomena, Processes and Systems | |
DOI | https://doi.org/10.1051/epjconf/201922402002 | |
Published online | 09 December 2019 |
https://doi.org/10.1051/epjconf/201922402002
Mathematical Modeling of Multi-Element Antenna Arrays with Chiral Metamaterials Substrates Using Singular Integral Equations
1
Volga State University of Telecommunications and Informatics, RU-443010, Samara, Russia
2
Kotelnikov Institute of Radioengineering and Electronics, Russian Academy of Sciences, RU-125009, Moscow, Russia
3
E JNU-IREE Joint Laboratory of Fractal Method & Signal Processing, Department of Electronic Engineering, College of Information Science and Technology, JiNan University, Guangzhou, China
* e-mail: potapov@cplire.ru
Published online: 9 December 2019
In this paper, a physical model of the multi-element antenna arrays (MEAA) has been considered and a self-consistent numerical method for solving the problem of current distribution on the MEAA surface with chiral metamaterials substrate has been proposed. The algorithm of the input admittance matrix elements for chiral layer based on the conductive left and right-handed helices has been developed and elements of the matrix surface impedances for investigated structures have been found. A set of singular integral equations with a Cauchy kernel for calculating the current density on the surface of the MEAA has been derived. A numerical solution of the set is a well-posed in the sense of Hadamard. Calculations of current distribution on the MEAA surface, impedance characteristics of a three-element antenna array and the dependence of the isolation levels between emitters on the chirality parameter have been performed and analysed. It has been shown that the use of chiral substrates can substantially increase the isolation between emitters.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.