Linear Antenna Array Synthesis for Unconstrained and Constrained Nulls Using Social Group Optimization Algorithm

Abstract

In wireless communications, the radiating system is required to produce radiation patterns which are entirely described by nulls along with some constraints like side lobe level. With the latest developments in the wireless communication systems, the Linear Array Antenna (LAA) design emerged challenge to the antenna engineers. In this paper, the LAA synthesis is performed using novel Social Group Optimization Algorithm (SGOA). The synthesis technique employs non-uniform amplitude distribution. The array synthesis problem is transformed into an optimization problem with number of elements as the dimension of the problem. Obtaining desired nulls in the radiation pattern without and with constraint of Side Lobe Level (SLL) is the objective of the work. Results pertaining to single and multiple nulls for both the above cases are presented. The novel evolutionary computing named as SGOA efficiently achieved the above objectives with an LAA of 12 elements.