A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm

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Efri Sandi, Aodah Diamah, Pitoyo Yuliatmojo, Baso Maruddani

2022 Applied Computational Intelligence and Soft Computing Vol. 2022 Article Cited by 1 SDG 9 Quartile

Abstract

One of the major challenges in developing various practical communication systems is reducing device complexity and development costs. In this study, a linear sparse array antenna design problem is addressed and a new approach for density taper element spacing by using the spacing coefficient algorithm is proposed. This method is a mathematical approach to obtain the distance between array elements by developing a spacing coefficient dn for each element to achieve radiation performances with a minimum number of antenna elements. The simulation and measurement results show a significant improvement in array performance compared to other sparse array design methods, such as the CDS sparse array method in our previous work. © 2022 Efri Sandi et al.

Affiliations

Department of Electronics Engineering, Faculty of Engineering, Universitas Negeri Jakarta, Jalan Rawamangun Muka, Jakarta Timur, 13220, Indonesia

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