IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i15p2589-d871278.html
   My bibliography  Save this article

The Statistical Estimation Averaging Method to Express the Effective Electromagnetic Parameters over a Planar Information Meta-Surface

Author

Listed:
  • Ting-Ting Gu

    (Department of Information Science and Electronic Engineering (ISEE), Zhejiang University, Hangzhou 310027, China
    State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310058, China
    These authors contributed equally to this work.)

  • Tie-Jun Cui

    (Institute of Electromagnetic Space, Southeast University, Nanjing 210096, China
    State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
    These authors contributed equally to this work.)

Abstract

The electromagnetic scattering of a meta-surface, formed by a honeycomb substrate or periodical arranged meta-materials, has great meanings to communication technologies. In a conventional treatment to investigate the properties of these interfaces, either a variational approach or series expansions had been applied, instead of estimating the effective permittivity or permeability by the mean value of its spatial discretized statistics due to spatiotemporal fusion. Following this, this study has re-examined the problem by the Statistic Estimation Averaging method (SEAm), through the transferred conditional structural Probability Density Functions (PDFs) to realize the structural determinations by homogenization. The parameters estimated by SEAm, which exploited the concept of a homogenized medium to express properties of a structural complex medium, has been verified of validity and accuracy by comparing with the measured results of a honeycomb structure. The method can be extended to estimate the parameters of an equivalent surface, such as randomly scattering from information metamaterials. As a new wireless communication relay technology, considering that information metamaterials can modulate the electromagnetic characteristics of communication links and wireless channels simultaneously by means of spatiotemporal sequence coding, the study also gives a preliminary proposition on state estimation method of information meta-surface, which would interpret the modulation effect of wireless channels caused by its inhomogeneity of antenna wavefront by statistical estimation average information entropy.

Suggested Citation

  • Ting-Ting Gu & Tie-Jun Cui, 2022. "The Statistical Estimation Averaging Method to Express the Effective Electromagnetic Parameters over a Planar Information Meta-Surface," Mathematics, MDPI, vol. 10(15), pages 1-15, July.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2589-:d:871278
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/15/2589/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/15/2589/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nikolaos L. Tsitsas, 2023. "Analytical Methods in Wave Scattering and Diffraction Volume I," Mathematics, MDPI, vol. 11(4), pages 1-5, February.

    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:gam:jmathe:v:10:y:2022:i:15:p:2589-:d:871278. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.