Optimal Synthesis of Concentric Circular Antenna Arrays Using Political Optimizer

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.

Automated summary

In this study, a novel socio-inspired meta-heuristic method called political optimizer (PO) was used to improve the radiation properties of concentric circular antenna arrays (CCAAs) in the far field, such as wireless communication for smart grids and Internet of things. The study showed that by reducing the sidelobe level (SLL), unwanted signals and interferences in the same frequency band can be suppressed. The results revealed that the PO algorithm outperformed other recent optimization methods in achieving a lower SLL value for CCAAs.