The radar can invert the parameters of sea evaporator ducts by using the sea clutter information.In order to improve the performance of evaporative duct inversion, an improved Particle Swarm Optimization (PSO) algorithm is proposed.When taking the minimum value, the objective function established between the actually measured radar sea clutter power and the clutter power calculated by the evaporation duct model can reverse the profile parameters closest to the actually measured evaporation ducts.According to this idea, the inertia weights and learning factors are adaptively adjusted based on the basic PSO algorithm, and the adaptive compression factor is introduced to ensure the fast convergence of the algorithm, thus the high-precision evaporation duct parameters can be obtained.Simulation experiment proves that:compared with basic PSO algorithm, the improved PSO algorithm has better global convergence performance, and the inversion speed is obviously improved when dealing with large-scale data.