MURAL - Maynooth University Research Archive Library



    Efficient and accurate modeling of electrically large dielectric lens antennas using full-wave analysis


    Sørensen, S.B., Zhou, Min, Meincke, Peter, Tynan, Niall and Gradziel, Marcin (2014) Efficient and accurate modeling of electrically large dielectric lens antennas using full-wave analysis. In: The 8th European Conference on Antennas and Propagation (EuCAP 2014). IEEE, pp. 3021-3024. ISBN 9788890701849

    [thumbnail of MG-Modeling-2014.pdf]
    Preview
    Text
    MG-Modeling-2014.pdf

    Download (276kB) | Preview

    Abstract

    Two efficient analysis methods for the accurate modeling of electrically large dielectric lens antennas are presented. The first method is based on Double Physical Optics (PO), which takes into account an additional set of reflections within the lens, whereas the conventional PO method only accounts for one set. The second method relies on a higher-order Body of Revolution Method of Moments and is capable of providing a full-wave solution of a 100-wavelength dielectric lens antenna within 2 minutes on a laptop computer.
    Item Type: Book Section
    Additional Information: This work is supported by the European Space Agency under contract number 4000102522/10/NL/AF2011. Cite as: S. B. Sørensen, M. Zhou, P. Meincke, N. Tynan and M. L. Gradziel, "Efficient and accurate modeling of electrically large dielectric lens antennas using full-wave analysis," The 8th European Conference on Antennas and Propagation (EuCAP 2014), The Hague, 2014, pp. 3021-3024, doi: 10.1109/EuCAP.2014.6902464.
    Keywords: modeling; dielectric lens; higher-order MoM;
    Academic Unit: Faculty of Science and Engineering > Experimental Physics
    Item ID: 13781
    Identification Number: 10.1109/EuCAP.2014.6902464
    Depositing User: Dr. Marcin Lukasz Gradziel
    Date Deposited: 06 Jan 2021 16:30
    Publisher: IEEE
    Refereed: Yes
    Funders: European Space Agency
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/13781
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads