Impact analysis and optimization of notched high-gain Antipodal Vivaldi antenna using machine learning

Kumar Jaiswal, Pawan; Bhattacharya, Rajarshi

doi:10.1016/j.aeue.2023.154870

AEU - International Journal of Electronics and Communications

2023

DOI: 10.1016/j.aeue.2023.154870

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Impact analysis and optimization of notched high-gain Antipodal Vivaldi antenna using machine learning

Pawan Kumar Jaiswal,

Rajarshi Bhattacharya

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2024

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Gain Enhancement in Antipodal Vivaldi Antennas using Parasitic Elements and Metamaterials

Johari,

Mohd Yassin,

Ismail

et al. 2024

J. Phys.: Conf. Ser.

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Conventional Antipodal Vivaldi Antenna (AVA) suffers from limited gain, especially at high frequencies. This paper addresses this challenge by proposing a compact AVA design of 1.28λ0 × 0.91λ0 × 0.18λ0 at 3.5 GHz that achieves significant gain enhancement. The design utilizes strategically placed parasitic elements to manipulate current distribution and a custom metasurface lens to optimize the wavefront. Simulations demonstrate substantial gain improvement compared to a conventional AVA across a wide frequency range. This approach offers a promising solution for high-gain, wideband AVA suitable for long-range and focused signal transmission applications.

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Gain Enhancement in Antipodal Vivaldi Antennas using Parasitic Elements and Metamaterials

Johari,

Mohd Yassin,

Ismail

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

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Impact analysis and optimization of notched high-gain Antipodal Vivaldi antenna using machine learning

Cited by 1 publication

References 26 publications

Gain Enhancement in Antipodal Vivaldi Antennas using Parasitic Elements and Metamaterials

Gain Enhancement in Antipodal Vivaldi Antennas using Parasitic Elements and Metamaterials

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