Optimizing beam pattern of adaptive linear phase array antenna using local genetic algorithm

In this paper, an innovative optimal adaptive antenna technique based on phase shift perturbation method is proposed. Local genetic algorithms are used to search the optimal weighting vector of the phase shift perturbations for array factor. The design for an optimal radiation pattern of an adaptive antenna can not only adjustably suppress interferers by placing nulls at the directions of the interfering sources but also provide a maximum main lobe in the direction of the desired signal at the same time. In order to achieve this goal, a new convergent method referred as the two-way convergent method for local genetic algorithms is proposed. The local genetic algorithm combines genetic algorithm and local search heuristics to solve combinatorial optimization problems