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 dont 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.

关键词： active noise control genetic nonlinear secondary path

作者: Bo Liu Jing Qi Xiong

作者单位: Mechanical and Electronic Engineering College,University of Electronic Science and Technology of China,ChengDu, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 888-890

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）