Genetic algorithm optimization of a wideband rectangular patch antenna with an asymmetric u-slot and partial ground for Ku-band satellite communication

Al Gburi, Ahmed Jamal Abdullah and Bennioui, Fatim-Zahra and Khabba, Asma and Bouslam, Karima Ait and Wakrim, Layla and Ibnyaich, Saida and Zeroual, Abdelouhab and Zakaria, Zahriladha (2025) Genetic algorithm optimization of a wideband rectangular patch antenna with an asymmetric u-slot and partial ground for Ku-band satellite communication. Progress In Electromagnetics Research M, 133. pp. 51-60. ISSN 1937-8726

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Abstract

This paper presents an innovative microstrip patch antenna (MPA) designed and optimized for Ku-band satellite communications. The proposed design incorporates an asymmetric U-shaped slot and a partial ground plane, constructed using an FR4 substrate with dimensions of 18 × 16 × 1.6 mm3 (0.416λ × 0.37λ × 0.03λ, where λ is the wavelength at 6.94 GHz). A genetic algorithm is employed to optimize the U-shaped slot and ground plane dimensions, enhancing the antenna’s wideband performance while preserving its compact form factor. Simulation results indicate that the optimized design achieves two operational frequency bands with reflection coefficients (S11) less than −10 dB: a narrowband from 6.83 GHz to 7 GHz, with a resonant frequency of 6.94 GHz, and a wideband from 10.26 GHz to 17.19 GHz, with a resonant frequency of 14.94 GHz. This extensive frequency range enables the antenna to effectively support direct broadcast services (DBSs) and fixed satellite services (FSS). The design’s effectiveness was confirmed through prototype fabrication and testing, demonstrating strong agreement with simulated results and proving the antenna’s compactness and exceptional wideband performance.

Item Type: Article
Uncontrolled Keywords: Frequency allocation, Radio broadcasting, Satellite communication systems, Television broadcasting
Divisions: Faculty Of Electronics And Computer Technology And Engineering
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 05 Dec 2025 01:00
Last Modified: 05 Dec 2025 01:00
URI: http://eprints.utem.edu.my/id/eprint/29145
Statistic Details: View Download Statistic

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