Investigation on the Performance of Linear Antenna Array Synthesis Using Genetic Algorithm
Genetic Algorithm (GA) is a powerful optimization method which is used in this paper for the synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed in this paper is to find the amplitude excitation of the antenna array elements that are optimum to provide radiation pattern with maximum reduction in sidelobe level. Unlike Simple GA (SGA), the Genetic algorithm solver from the optimization toolbox of MATLAB is used with adaptive feasible mutation, which enables search in broader space along randomly generated directions to produce new generations. This improves the performance greatly to achieve the maximum reduction in sidelobe level with minimum function calls. Experiments proved the effectiveness of this method.