Applied Computational Intelligence and Soft Computing (Jan 2022)

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

  • Efri Sandi,
  • Aodah Diamah,
  • Pitoyo Yuliatmojo,
  • Baso Maruddani

DOI
https://doi.org/10.1155/2022/4050068
Journal volume & issue
Vol. 2022

Abstract

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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.