Synthesis of circular array antenna for side lobe level and beam steering control using social group optimization algorithm

Abstract

In this paper, the design of circular array using novel evolutionary computing tools is dealt with side lobe level (SLL) reduction as main objective. Further, the beam is scanned (steering) to certain angle considering the same objectives and constraints. The Social Group Optimization algorithm (SGOA) is used to design the array and compared with the another evolutionary computing tool known as the Real Coded Genetic Algorithm (RCGA) and conventional uniform design with major concern being not to do performance evaluation with but to elevate that the performance of the novel SGOA is at par with RCGA. The analysis is carried out using the produced radiation patterns for two different lengths of the array.