Application of Improved Particle Swarm Optimization in Antenna Array Pattern Syntheis

Particle swarm optimization (PSO) is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarm, which is very easy to understand and implement. In order to overcome the drawbacks of standard PSO, some improved mechanisms based on the design of a novel formula for velocity updating, and global best perturbation are adopted. The simulation results of sidelobe reduction of 2-D array show that it is effective.