基于FxLMS的汽车车内噪声变步长主动均衡算法  

A FxLMS based variable step-size active equalization algorithm for vehicles interior noise

作　　者：张帅[1] 王岩松[1] 郭辉[1] 王孝兰[1] 刘宁宁[1] ZHANG Shuai;WANG Yan-song;GUO Hui;WANG Xiao-lan;LIU Ning-ning(Automotive Engineering College, Shanghai University of Engineering Science, Shanghai 201620, China)

机构地区：[1]上海工程技术大学汽车工程学院

出　　处：《声学技术》2019年第5期574-579,共6页Technical Acoustics

基　　金：国家自然科学基金项目(51675324);上汽基金项目(1523)

摘　　要：提出了一种可用于汽车车内噪声主动均衡控制的变步长主动噪声均衡(ActiveNoiseEqualization,ANE)算法,与传统车内噪声主动抵消控制方法所采用的滤波x最小均方(Filtered-xLeastMeanSquare,FxLMS)算法相比具有更好的实用性。应用固定步长主动噪声均衡(Active Noise Equalization,ANE)算法、所提出变步长ANE算法和已有变步长ANE算法分别进行汽车车内噪声主动均衡控制。结果表明,所提出变步长ANE算法具有更快的收敛速度和较低的稳态误差,并且能进一步降低汽车车内噪声响度,为汽车车内声品质主动控制提供了一种新方法。A new active equalization method for vehicle interior noise based on variable step-size ANE algorithm is presented in this paper, which has better practicality compared with the traditional active interior noise cancellation control method based on Filtered-x Least Mean Square (FxLMS) algorithm. The fixed-step Active Noise Equalization (ANE) algorithm, the proposed variable step-size ANE algorithm and the existing variable step-size ANE algorithm have been respectively applied to active interior noise equalization control for comparison. The results show that the proposed variable step-size ANE algorithm has faster algorithm convergence speed, less steady-state error and gives a lower loudness level, which provides a new method for active sound quality control of vehicle interior noise.

关 键 词：车内噪声 响度 变步长 滤波x最小均方算法 主动噪声均衡算法 

分 类 号：U467.493[机械工程—车辆工程]