Single Channel Active Noise Control Based on S-Genetic Algorithm

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.