IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v37y2023i5p752-765.html
   My bibliography  Save this article

Range profile analysis of buried objects in layered media based on efficient full-wave simulation

Author

Listed:
  • Chao Li
  • Hui-Chao Qi
  • Si-Yuan He

Abstract

The high-resolution range profiles (RPs) of 3-D objects buried in layered media are investigated. In order to simulate the RPs efficiently, wideband scattered fields are calculated by a method of moments (MoM) based fast algorithm, i.e. characteristic basis function method (CBFM). To achieve fast frequency sweep, an adaptive frequency sampling strategy (AFS) is implemented to accelerate the broadband simulation. Then by using the inverse discrete Fourier transform (IDFT), RPs of the object are obtained. To validate the proposed approach, range locations are predicted qualitatively based on the ray theory. Moreover, the ray approach also enables the physical interpretation of the scattering mechanisms corresponding to the peaks, for example, the specular reflection, the edge diffraction, and the higher-order effects. Since different scattering centers (SCs) dominate in different directions, the RPs are aspect dependent. Furthermore, the RPs are also dependent on the lossy and dispersive effects of the layered medium. Numerical results demonstrate that the peaks are significantly reduced when the layered medium is lossy, especially those due to the higher-order interactions between the object and the interfaces.

Suggested Citation

  • Chao Li & Hui-Chao Qi & Si-Yuan He, 2023. "Range profile analysis of buried objects in layered media based on efficient full-wave simulation," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 37(5), pages 752-765, March.
    • Handle: RePEc:taf:tewaxx:v:37:y:2023:i:5:p:752-765
    DOI: 10.1080/09205071.2023.2192423
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2023.2192423
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09205071.2023.2192423?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:37:y:2023:i:5:p:752-765. 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.