摘要
车载有源噪声控制(active noise control,ANC)系统多基于最小均方(least mean square,LMS)算法来实现,但定步长LMS算法在收敛速度和稳态误差之间存在矛盾。文章基于Softsign函数建立误差与步长之间的非线性关系,提出了一种改进变步长LMS算法。仿真算例结果表明,与定步长LMS算法及Tanh-LMS算法相比,该算法具有更快的收敛速度和更小的稳态误差,且比Tanh-LMS算法运算量更小,因而在车载ANC系统上应用更具优势。
Active noise control(ANC)for vehicle interior noise is mostly based on the least mean square(LMS)algorithm,but the contradiction of convergence speed and the steady-state error exists in the LMS algorithm.In order to deal with this problem,this paper presents an improved variable step-size LMS algorithm based on Softsign function.This algorithm establishes the nonlinear relationship between error and step size.The simulation results show that compared with the LMS algorithm and Tanh-LMS algorithm,this algorithm has quicker convergence speed and smaller steady-state error.Moreover,this improved algorithm has smaller computation compared with Tanh-LMS,which makes it more applicable in the vehicle ANC system.
作者
钱梦男
卢剑伟
晏桂喜
郭嘉豪
QIAN Mengnan;LU Jianwei;YAN Guixi;GUO Jiahao(School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, China;School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2021年第10期1306-1310,共5页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(51875150)。
