Adaptive Noise Canceller Design Based on Chaotic Simulated Annealing Particle Swarm Optimization Algorithm

摘要

The traditional filter design based on Least Mean Square (LMS) algorithm which depends on step heavily, good performance cannot be achieved in some models. To solve this problem, mathematical model based on the searching for optimization coefficients of the filter is constructed, three improved algorithms based on the basic Particle Swarm Optimization(PSO) algorithm including Simulated Annealing PSO(SAPSO), Chaotic Local Search PSO(CLSPSO)and Chaotic Simulated Annealing PSO(CSAPSO)are applied to this problem. The simulation result shows that the CSAPSO algorithm can obtain optimization values efficiently and has better performance of convergence and effectiveness.