基于FxLMS的汽车车内噪声变步长主动均衡算法

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（Active Noise Equalization，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-x Least Mean Square，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 FxLMS based variable step-size active equalization algorithm for vehicles interior noise

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.