Computational Electromagnetics Applied to the Field of Antennas

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 September 2024 | Viewed by 819

Special Issue Editors


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Guest Editor
Institute for Radio Frequency Technology and Software, School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
Interests: target characterisation and stealth analysis; antenna simulation and analysis; advanced electromagnetic algorithms; high performance electromagnetic computing.

E-Mail Website
Guest Editor
Institute for Radio Frequency Technology and Software, School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
Interests: electromagnetic simulation and antennas; RF IC simulation; advanced numerical algorithms and high performance computing

E-Mail Website
Guest Editor
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
Interests: electromagnetic spectrum security awareness; wireless network security; Internet of Things and air-space integration network security technology

Special Issue Information

Dear Colleagues,

The use of wireless antennas in various domains, from microwave to optical regimes, including communication, detection, and navigation, has underscored the importance of accurate and efficient antenna simulation. As such, the need for advanced simulation techniques is increasingly critical to ensure optimal performance and functionality. This Special Issue aims to bring together researchers and practitioners from academia and industry to discuss recent developments and advances in computational electromagnetic methods (CEMs) for antenna design, analysis and optimization.

The main objective of this Special Issue is to explore the latest advances in the computational methods for antennas. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Novel antenna modeling methods.
  • Massive MIMO antenna simulation methods.
  • Modeling and validation of CEMs for microwave and optical antennas.
  • Fast simulation for array antennas or metasurface/metamaterial antennas.
  • Efficient electromagnetic simulation for modern antenna systems.
  • Wireless channel characterization CEMs.
  • Integral equation methods or method of moments for antennas.
  • Finite element methods (FEM).
  • Finite difference time domain (FDTD) methods.
  • Discontinuous Galerkin methods.
  • Theoretical analysis of optical/THz antennas.
  • Metallic nanostructures.
  • Hybrids methods.
  • Antenna measurement and validation.
  • Computational methods for automatic antenna design and optimization.
  • High-performance computing techniques for antenna simulations.
  • AI- or machine learning-enhanced CEM for antenna simulation.

Dr. MingLin Yang
Dr. Biyi Wu
Dr. Qianyun Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • antennas and propagation simulation
  • computational methods
  • antenna modelling

Published Papers (1 paper)

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Research

14 pages, 3892 KiB  
Article
Flexible Approach for the Generation of Macro-Basis Functions Using the Characteristic Basis Function Method
by Eliseo García, Carlos Delgado and Felipe Cátedra
Electronics 2024, 13(3), 657; https://doi.org/10.3390/electronics13030657 - 5 Feb 2024
Viewed by 550
Abstract
This document presents a method for reducing the memory and CPU time required for the electromagnetic analysis of complex scenarios employing the Characteristic Basis Function Method. This technique introduces a novel procedure to accelerate the calculation of basis functions and the reduced matrix. [...] Read more.
This document presents a method for reducing the memory and CPU time required for the electromagnetic analysis of complex scenarios employing the Characteristic Basis Function Method. This technique introduces a novel procedure to accelerate the calculation of basis functions and the reduced matrix. The accuracy and computational cost associated with this approach are studied and validated through a number of test cases, making use of about five times less memory than with the conventional approach. Full article
(This article belongs to the Special Issue Computational Electromagnetics Applied to the Field of Antennas)
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