Antenna Array Synthesis Using Social Group Optimization

Abstract

Circular array antenna (CAA) design has become a complex and most explored research problem with the advancement in the wireless personal and commercial communication systems. In this paper, the circular array synthesis is performed using novel social group optimization algorithm (SGOA). The synthesis technique employs both nonuniform amplitudes and nonuniform spacing between the elements. The array synthesis problem is translated as an optimization problem with amplitudes and inter-element spacing as two different design variable sets with suppressed sidelobe level (SLL) along with beamwidth constraint as objectives. The SGOA synthesized 30 and 60 element CAA, produced a very low SLL when compared with uniform CAA maintaining the same BW.