Integrated optimization of antenna arrays with radome based on particle swarm optimization

For the integrated optimization of antenna arrays with radome, a new method based on the particle swarm optimization (PSO) combined with higher-order method of moment (HOMoM) is proposed. The PSO adjusts its inertia weight and learning factors adaptively by the adaptive policy according to the fitness of the particle, which improves the searching ability of the population and the speed of solving. In order to improve the efficiency of optimization and enlarges the solution scale of the higher-order method of moment, this method introduces parallel technology, so that it can complete the integration simulation quickly. This method achieved the integrated optimization of antenna arrays with radome efficiently, and solved the electrically large problem integrated optimization.