Optimal sidelobe reduction of symmetric linear antenna array using Genetic Algorithm

Abstract

In this paper synthesis of symmetric linear antenna arrays is described using Genetic Algorithm (GA). Genetic Algorithm has many advantages over other conventional optimization techniques. Real coded GA (RGA) is a high performance evolutionary optimization algorithm. It is used in this paper to find optimum inter-element spacing and excitation coefficients for the symmetric linear antenna array in order to minimize the maximum relative sidelobe level (SLL) in the radiation pattern of the array for minimum possible First Null Beamwidth (BWFN) increment.