Skip to main navigation Skip to search Skip to main content

Characteristic Mode Analysis for Inhomogeneous Media

  • Di Wu*
  • , Qi Wu
  • , Chunliang Dai
  • , Peng Zhang
  • *Corresponding author for this work
  • Beihang University
  • Shenyang Aircraft Design and Research Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers the characteristic mode analysis (CMA) of inhomogeneous media. The proposed method adopts volume current density as unknows and formulates a volume integral equation (VIE). Half-SWG and SWG basis functions are chosen to expand the volume current density, since it is discontinuous at interface between different media. The method of moment (MoM) with Galerkin scheme is used to discretize the integral equation. The obtained impedance matrix is composed of a diagonally-dominant Gram matrix and a scattering matrix which is free from the influence of media parameters. This whole operator can be approximately viewed as symmetric, which guarantees a good orthogonality of radiation modes. Numerical results are presented to validate the feasibility as well as the accuracy of this approach.

Original languageEnglish
Title of host publication2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781665490375
DOIs
StatePublished - 2022
Event2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022 - Guangzhou, China
Duration: 14 Dec 202217 Dec 2022

Publication series

NameIEEE Conference on Antenna Measurements and Applications, CAMA
Volume2022-December
ISSN (Print)2474-1760
ISSN (Electronic)2643-6795

Conference

Conference2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022
Country/TerritoryChina
CityGuangzhou
Period14/12/2217/12/22

Keywords

  • Characteristic mode analysis
  • inhomogeneous media
  • volume integral equation

Fingerprint

Dive into the research topics of 'Characteristic Mode Analysis for Inhomogeneous Media'. Together they form a unique fingerprint.

Cite this