噪声与振动控制Issue(3)：97-100,4.DOI:10.3969/j.issn.1006-1335.2014.03.020
车内噪声听觉时域掩蔽主动控制LMS算法
Time-domain ANC-LMS Algorithm for Vehicle Interior Noise Analysis Considering Masking Effect of Human Audition
摘要
Abstract
Based on the traditional active noise control (ANC) LMS method, a post-masking LMS algorithm is developed considering the post-masking effect of human audition. Taking the ANC of automobile’s interior noise as an example, the traditional LMS and post-masking LMS algorithms are used respectively for ANC simulation of the vehicle’s interior noise at different speeds by means of MATLAB code. The result is compared with the measurement data. It shows that the newly developed post-masking LMS algorithm can give a lower loudness level, yield a better noise control result than that from the traditional LMS and provide a good subjective hearing sensation of the vehicle’s interior noises.关键词
声学/人耳听觉/后掩蔽效应/主动噪声控制/Post-masking LMS/响度Key words
acoustics/human audition/post-masking effect/active noise control (ANC)/post-masking LMS/loudness分类
交通工程引用本文复制引用
冯天培,王岩松,郭辉..车内噪声听觉时域掩蔽主动控制LMS算法[J].噪声与振动控制,2014,(3):97-100,4.基金项目
国家自然科学基金项目（51175320）；上海高校特聘教授（东方学者）跟踪计划 （）
