Design of linear and circular arrays using natural search algorithms for generation of low side lobe patterns

Abstract

Arrays are designed conventionally using standard distribution functions and also using age old techniques like Woodward, Taylor, etc. It is well known that beam width and side lobe are conflicting and is involved in generating a compromise between these two for deserved radiation characteristics. In this paper, design of linear and circular arrays with such optimization is considered. The optimization is carried using the state-of-the-art natural search algorithms like Cuckoo Search Algorithm. Simulation is carried out with the objective of side lobe level (SLL) suppression considering beam width (BW) constraint. These results are compared with that of Accelerated particle swarm optimization.