Null Steering and Multi-beams Design by Complex Weight of antennas Array with the use of APSO-GA

An efficient method based on the hybrid model with breeding and subpopulations, between genetic algorithm and a modified particle swarm optimizer for the linear antenna arrays pattern synthesis with prescribed nulls in the interference direction and multi-lobe beam forming by the complex weights of each array element is presented. In general, the pattern synthesis technique that generates a desired pattern is a greatly nonlinear optimization problem. The proposed method is based on the hybrid model algorithm and the linear antenna array synthesis was modeled as a multi-objective optimization problem. Multi-objective optimization is concerned with the maximization of a vector of objectives functions in the directions of desired signal that can be subject of a number of constraints. Several numerical results with the imposed single, multiple and broad nulls sectors are provided and compared with published results to illustrate the performance of the proposed method. Key-Words: Hybrid model, antenna array, interference suppression, multilobe beam forming.