IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v36y2022i3p441-455.html
   My bibliography  Save this article

Characteristic basis function method based on mixed discretization for analyzing scattering from electrically large inhomogeneous objects

Author

Listed:
  • Fei Huang
  • Yufa Sun

Abstract

The characteristic basis function method (CBFM) based on the mixed discretization (MD) is firstly proposed to analyze the electromagnetic scattering from electrically large inhomogeneous objects. The discontinuous Galerkin volume integral equation (DGVIE) method which employs nonconformal discretization permits to independently discretize the various component regions of the inhomogeneous object depending on its local shape or dielectric permittivity. Moreover, by the means of the CBFM, the low-level basis functions employed in the DGVIE method are converted into high-level basis functions, dramatically reducing the number of basis functions for modeling. In addition, the conformal discretization which is superior in dealing with homogenous regions is mixed with the nonconformal discretization to further cut down the number of the basis functions. Numerical results show that the CBFM based on mixed discretization (MD-CBFM) generates much less unknowns in contrast to several conventional methods. Several composite inhomogeneous examples are given to demonstrate the accuracy and efficiency of the proposed method.

Suggested Citation

  • Fei Huang & Yufa Sun, 2022. "Characteristic basis function method based on mixed discretization for analyzing scattering from electrically large inhomogeneous objects," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 36(3), pages 441-455, February.
  • Handle: RePEc:taf:tewaxx:v:36:y:2022:i:3:p:441-455
    DOI: 10.1080/09205071.2021.1971116
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2021.1971116
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09205071.2021.1971116?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tewaxx:v:36:y:2022:i:3:p:441-455. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tewa .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.