摘要
针对发动机振动引起的噪声控制问题,提出一种变步长Volterra滤波器最小平均p范数(VSS-VLMP)算法,依据Volterra算法建立了发动机噪声的非线性滤波器模型。采用sigmoid函数更新步长因子,对一阶和二阶权系数采取迭代更新,从而达到滤除发动机噪声中所含的高斯噪声和脉冲噪声的目的。通过与Volterra LMS滤波、Volterra LMP滤波以及wiener滤波的仿真实验结果对比分析可知,改进后算法对发动机振动引起的噪声的降噪效果要优于进行对比的其它滤波算法。
According to the problems in Control of Noise due to Engine Vibration,A variable step size adaptive Volterra least mean th power(VSS-VLMP)filtering algorithm is proposed in this paper.In the proposed algorithm,the filter model of engine noise is established based on the Volterra algorithm.Firstly,the step factor updated by the sigmoid function,Additionally,the first-order and second-order weight coefficients were iteratively updated,so as to achieve the purpose of cancellation of gaussian noise and impulse noise contained in the engine noise.The proposed algorithm filtering is compared with Volterra LMS filtering,Volterra LMP filtering and wiener filtering cancellation of noise caused by engine.The simulation results show that the proposed algorithm outperforms the other filtering algorithm.
作者
崔婷玉
张俊
黄薛龙
CUI Ting-yu;ZHANG Jun;HUANG Xue-long(Wuhu Institute of Technology,Wuhu 241003,China;Anhui Huadong Polytechnic Institute Residents,Wuhu 241002,China;Wuhu Big Data and Artificial Intelligence Engineering Technology Research Center,Wuhu 241000,China)
出处
《长春师范大学学报》
2022年第2期57-63,共7页
Journal of Changchun Normal University
基金
2020年度安徽省高校自然科学研究重点项目“电梯安全监管大数据平台研究与应用”(KJ2020A0914)。
关键词
VOLTERRA滤波器
LMS算法
VLMP算法
发动机噪声降噪
Volterra filter
least mean square(LMS)algorithm
Volterra least mean th power(VLMP)algorithm
reducing noise of engine
