Improvement of wavefront correcting particle swarm optimization algorithm based on metropolis criterion

Abstract

In this paper, the wavefront phase distortion of laser beam caused by atmospheric turbulence is corrected by an adaptive optics sensor-less system. According to the shortcoming that particle swarm optimization algorithm(PSO) is easily falling into local optimum, an improved PSO algorithm based on metropolis criterion is proposed in order to improve the efficiency and effect of wavefront correction. The metropolis criterion is used to judge whether an inferior state is accepted or not, so that the particle swarm optimization algorithm can jump out of the local optimum. Finally, the correcting effect of the improved PSO algorithm is compared by numerical simulation analysis, which verifies that the improved PSO algorithm can improve the correcting speed and effect, and the running time of achieving the same correcting effect is greatly reduced.