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Erschienen in: Journal of Computational Electronics 1/2022

22.01.2022

A micro-scaled graphene-based tree-shaped wideband printed MIMO antenna for terahertz applications

verfasst von: K. Vasu Babu, Sudipta Das, Gaurav Varshney, Gorre Naga Jyothi Sree, Boddapati Taraka Phani Madhav

Erschienen in: Journal of Computational Electronics | Ausgabe 1/2022

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Abstract

A tree-shaped graphene-based microstrip multiple-input and multiple-output (MIMO) antenna for terahertz applications is proposed. The proposed MIMO antenna is designed on a 600 × 300 μm2 polyimide substrate. The designed MIMO antenna provides a wide impedance bandwidth of 88.14% (0.276–0.711 THz) due to the suggested modifications in the antenna configuration. The MIMO design parameters like total active reflection coefficient (TARC), mean effective gain (MEG), envelope correlation coefficient (ECC) and diversity gain (DG), channel capacity loss (CCL) are evaluated, and their values are found within acceptable limits. The proposed MIMO structure offers MEG ≤ − 3.0 dB, TARC ≤ − 10.0 dB, DG ≈ 10 dB, CCL < 0.5 bps/Hz/s and ECC < 0.01 at the resonant frequency. At the resonant frequency, the isolation between the radiating elements of the proposed MIMO antenna is recorded as − 52 dB. The variations in operating frequency and S-parameters are also analyzed as a function of the chemical potential (μc) of the graphene material. The parametric analysis, structural design evolution steps, surface current distribution, antenna characteristics parameters and diversity parameters are discussed in detail in this paper. The designed MIMO antenna is suitable for high-speed short-distance communication, video-rate imaging, biomedical imaging, sensing and security scanning in the THz frequency band.

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Metadaten
Titel
A micro-scaled graphene-based tree-shaped wideband printed MIMO antenna for terahertz applications
verfasst von
K. Vasu Babu
Sudipta Das
Gaurav Varshney
Gorre Naga Jyothi Sree
Boddapati Taraka Phani Madhav
Publikationsdatum
22.01.2022
Verlag
Springer US
Erschienen in
Journal of Computational Electronics / Ausgabe 1/2022
Print ISSN: 1569-8025
Elektronische ISSN: 1572-8137
DOI
https://doi.org/10.1007/s10825-021-01831-3

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