Meta-Atoms And Artificially Engineered Materials For Antenna Applications

Keywords

Antenna arrays; Antenna designs; Artificially engineered materials; Artificially synthesizing dielectric materials; Broadband antennas; Dielectric materials; DNG type; Low-profile flat lenses; Magnetic materials; Magnetic materials; Material parameters; Metamaterial antennas; MTM; Real-world antenna applications; Reflect-arrays; Reflectarray antennas; RO approach; Single antennas

Abstract

In this article chapter, we discuss different ways to mitigate some of the problems encountered with MTMs, and present strategies for artificially synthesizing dielectric materials that are broadband as well as low-loss; hence, they are useful for real-world antenna applications involving low-profile flat lenses and reflectarrays, for example. The key to circumventing the difficulties with MTM, which we have identified above, is to steer clear of the common practice of using resonant inclusions or “particles”to achieve extreme material properties, negative index; and, zero index. Our strategy is to develop antenna designs that only call for material parameters that are realistic, so that they can either be acquired off-the-shelf, or by slightly tweaking the available materials by embedding small patches or apertures, often referred to as “particles”, whose dimensions are far removed from the resonance range. This obviates the problems of dispersion, narrow bandwidths and losses that plague the MTMs, at least those that fall in the “exotic”category, for example, the doublenegative or DNG type. Although the RO approach leads to dielectric-only designs that do not need to use magnetic materials, these designs still typically require dielectric materials that may not be available off-the-shelf.

Publication Date

1-1-2018

Publication Title

Developments in Antenna Analysis and Design: Volume 1

Number of Pages

351-405

Document Type

Article; Book Chapter

Personal Identifier

scopus

DOI Link

https://doi.org/10.1049/SBEW543F_ch10

Socpus ID

85078339637 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85078339637

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