Publication:
Impedance bandwidth improvement of a planar antenna based on metamaterial-inspired T-matching network

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Date

2021

Authors

Alibakhshikenari, Mohammad
Virdee, Bal S.
Shukla, Panchamkumar
Wang, Yan
Naser Moghadasi, Mohammad
See, Chan H.
Elfergani, Issa
Zebiri, Chemseddine
Abd-Alhameed, Raed

Director

Publisher

Institute of Electrical and Electronics Engineers Inc.
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/
European Commission/Horizon 2020 Framework Programme/722424openaire

Abstract

In this paper a metamaterial-inspired T-matching network is directly imbedded inside the feedline of a microstrip antenna to realize optimum power transfer between the front-end of an RF Wireless transceiver and the antenna. The proposed T-matching network, which is composed of an arrangement of series capacitor, shunt inductor, series capacitor, exhibits left-handed metamaterial characteristics. The matching network is first theoretically modelled to gain insight of its limitations. It was then implemented directly in the 50-Ω feedline to a standard circular patch antenna, which is an unconventional methodology. The antenna’s performance was verified through measurements. With the proposed technique there is 2.7 dBi improvement in the antenna’s radiation gain and 12% increase in the efficiency at the center frequency,and this is achieved over a significantly wider frequency range by a factor of approximately twenty. Moreover, there is good correlation between the theoretical model, method of moments simulation, and the measurement results.

Keywords

T -matching circuit, Microstrip antenna, Metamaterial, Transmission-line, Impedance matching._x000D_

Department

Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren / Institute of Smart Cities - ISC / Ingeniería Eléctrica, Electrónica y de Comunicación

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

This work was supported in part by the Ministerio de Ciencia, Innovacion y Universidades, Gobierno de Espana (MCIU/AEI/FEDER,UE), under Grant RTI2018-095499-B-C31, in part by the British Council (UK-China-BRI Countries Education Partnership Initiative 2019), in part by the Innovation Programme under Grant H2020-MSCA-ITN-2016 SECRET-722424, and in part by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/E022936/1.

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