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

作　　者：冯天培[1] 王岩松[1] 郭辉[1] 

机构地区：[1]上海工程技术大学汽车工程学院,上海201620

出　　处：《噪声与振动控制》2014年第3期97-100,共4页Noise and Vibration Control

基　　金：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

摘　　要：在传统噪声主动控制LMS算法基础上,考虑人耳听觉感知的后掩蔽效应,推导出Post-masking LMS算法。以汽车车内噪声主动降噪为例,分别采用LMS与Post-masking LMS算法,在Matlab环境中对实测的不同车速下车内噪声信号进行有源噪声控制仿真试验,结果表明Post-masking LMS算法能在传统LMS算法的基础上进一步降低车内噪声响度水平,具有更好的降噪效果和主观听觉感受。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 

分 类 号：U467.493[机械工程—车辆工程]