Single channel Active noise control based on s-genetic algorithm

摘要

In active noise control, the Filtered-x LMS algorithm has been widely used, but it is inefficient to the nonlinear noise control;then the Filtered-s LMS algorithm using the FLANN structure to solve the nonlinear problem,but these two algorithms need identification of secondary path and may converge to local minima;this paper using FLANN structure and genetic algorithm(S-GA),which don't need identification of secondary path and avoids local minima, Computer simulation show that S-GA is able to find satisfactory solutions even in the presence of nonlinearities in the secondary path.