Optimal Synthesis of Concentric Circular Antenna Arrays Using Political Optimizer

Abstract

In this study, political optimizer (PO) which has entered the literature as a novel socio-inspired meta-heuristic method is used to improve radiation properties of concentric circular antenna arrays (CCAAs) in the far field such as wireless communication of smart grids and Internet of things. The radiation pattern of far field is improved by reducing the sidelobe level (SLL), which is the most important parameter of the antenna radiation pattern. By reducing SLL, unwanted signals and interferences in the same frequency band are suppressed. PO is a novel global optimization method which is based on the multi-phased process of politics. The inter-element spacing and amplitude coefficients of concentric circular antenna array elements are determined optimally by PO algorithm to obtain a radiation pattern with a lower SLL value. To show the flexibility and performance of the proposed algorithm, three-ring CCAAs with different numbers of elements (4, 6, 8 elements and 8, 10, 12 elements) without and with the center element are synthesized. SLL values obtained by PO algorithm are compared with other recent optimization methods in the literature. The results obtained with PO algorithm in all comparisons show that it reached a lower SLL value than other optimization methods.

Keywords:

• Antenna array synthesis
• Concentric circular antenna array
• Meta-heuristic optimization algorithms
• Political optimizer
• Sidelobe level
• Wireless communication

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Ali Durmus

Ali Durmus was born in Kayseri. He received the BSc, MSc, and PhD degrees in electrical and electronics engineering, from Erciyes University, Kayseri, Turkey, in 2003, 2005, and 2016, respectively. He served as a lecturer at the Department of Electricity and Energy, Erciyes University from 2010 to 2018. Currently, he is an assistant professor at the Department of Electricity and Energy, Kayseri University. His research interests are smart grids, antennas, antenna arrays, meta-heuristic algorithms, and computational electromagnetics.

Rifat Kurban

Rifat Kurban was born in Kayseri. He received the BSc, MSc and PhD degrees in computer engineering, from Erciyes University, Kayseri, Turkey, in 2004, 2006, and 2012, respectively. He served as a research assistant at the Department of Computer Engineering, Erciyes University from 2005 to 2012. He worked as a visiting post-doctoral researcher at the Department of Electrical and Computer Engineering, University of Tennessee, USA, from 2015 to 2016. Currently, he is an assistant professor at the Department of Computer Technologies, Kayseri University. His research interests are image fusion, meta-heuristic algorithms, and Internet of things (IoT) applications in water management. E-mail: [email protected]