Side Lobe Suppression of Concentric Circular Antenna Array Using Social Spider Algorithm

This paper presents an efficient method to improve the far-field radiation pattern of concentric circular antenna array (CCAA) design using two stochastic optimization algorithms known as social spider algorithm (SSA) and modified social spider algorithm (MSSA). Low side lobe level (SLL) plays a crucial role in reducing the interference with the other frequency components along the entire side lobes of the far-field radiation pattern. SSA and MSAA are the state-of-the-art evolutionary optimization techniques which are applied here to determine the optimal current amplitude and the inter-element distance between two consecutive antennae of the 3-ring CCAA. In this paper, the optimal results achieved by using SSA, MSSA for (4, 6, 8) elements and (8, 10, 12) elements 3-ring CCAAs, with and without centre elements are reported. The results achieved by employing SSA and MSSA show a considerable improvement in SLL reduction as compared to the uniform and the other array patterns reported in the state-of-the-art literature.

Automated summary

This paper presents an efficient method to improve the far-field radiation pattern of concentric circular antenna array (CCAA) design using social spider algorithm (SSA) and modified social spider algorithm (MSSA). The optimal results achieved by employing SSA and MSSA show a considerable improvement in side lobe level (SLL) reduction for different elements in the 3-ring CCAA.