噪声与振动控制2017，Vol.37Issue(3)：88-91,121,5.DOI:10.3969/j.issn.1006-1355.2017.03.017
基于自适应切比雪夫滤波器的非线性有源噪声控制
Adaptive FCLMS Algorithm for Nonlinear Active Noise Control Based on Chebshev Filter
摘要
Abstract
A Chebshev filter based filtered-x least mean square (FCLMS) algorithm is proposed for nonlinear active noise control (NANC). The FCLMS algorithm uses the traditional FxLMS structure with the first kind Chebyshev polynomial expansion of the original signal. The computational complexity analyses in comparison with the second-order Volterra filtered-xLMS (VFxLMS) and first-order filtered-s LMS (FSLMS) algorithms are provided. The performance of the FCLMS algorithms is validated through computer simulations. Results of the simulations demonstrate that the developed FC LMS algorithm is better than the VFxLMS and FSLMS algorithms in terms of the noise control efficiency as well as the convergence speeds.关键词
声学/有源噪声控制/非线性自适应滤波器/切比雪夫滤波器/FSLMSKey words
acoustics/active noise control/nonlinear adaptive filter/Chebshev filter/FSLMS分类
通用工业技术引用本文复制引用
郭新年,周恒瑞..基于自适应切比雪夫滤波器的非线性有源噪声控制[J].噪声与振动控制,2017,37(3):88-91,121,5.
