Characteristic mode analysis of drop-like supershaped patch antenna

Klearchos A. Samaras, Ronis T. Maximidis, Anastasios Koutinos, Georgios A. Ioannopoulos, Diego Caratelli, John N. Sahalos, George A. Kyriacou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The Characteristic Mode analysis of a drop-like supershaped patch antenna constitutes the main scope of this project. Supershapes are abstract shapes generated by J. Gielis' Superformula and are used as radiators with wideband properties. The eigenanalysis is performed on the PMCHWT formulated MoM-matrix, derived from the combined field integral equation. The characteristic modes are analyzed via the equivalent magnetic characteristic currents on the printed antenna aperture surface of the cavity-like subdomain of the simulated structure.

Original languageEnglish
Title of host publication2018 7th International Conference on Modern Circuits and Systems Technologies, MOCAST 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538647882
DOIs
Publication statusPublished - 8 Jun 2018
Event7th International Conference on Modern Circuits and Systems Technologies, MOCAST 2018 - Thessaloniki, Greece
Duration: 7 May 20189 May 2018

Conference

Conference7th International Conference on Modern Circuits and Systems Technologies, MOCAST 2018
CountryGreece
CityThessaloniki
Period7.5.189.5.18

Keywords

  • Characteristic Mode Analysis
  • Image Theory
  • Method of Moments
  • Supershaped Patch Antenna

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Instrumentation

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  • Cite this

    Samaras, K. A., Maximidis, R. T., Koutinos, A., Ioannopoulos, G. A., Caratelli, D., Sahalos, J. N., & Kyriacou, G. A. (2018). Characteristic mode analysis of drop-like supershaped patch antenna. In 2018 7th International Conference on Modern Circuits and Systems Technologies, MOCAST 2018 (pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MOCAST.2018.8376655