Investigation of Diesel's Residual Noise on Predictive Vehicles Noise Cancelling using LMS Adaptive Algorithm

IAES International Conference on Electrical Engineering, Computer Science and Informatics

电工学;计算机科学

Prasetyowati, Sri Arttini Dwi^1 ; Susanto, Adhi^2 ; Widihastuti, Ida^1

Electrical Engineering Dept, Islamic Sultan Agung University, Semarang, Indonesia^1

Departement. of Electrical Engineering, Technology Faculty, Gadjah Mada University, Yogyakarta, Indonesia^2

关键词: Least mean square (LMS);    LMS adaptive algorithms;    LMS algorithms;    Noise cancelling;    Noise problems;    Residual noise;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/190/1/012004/pdf
DOI  :  10.1088/1757-899X/190/1/012004

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Every noise problems require different solution. In this research, the noise that must be cancelled comes from roadway. Least Mean Square (LMS) adaptive is one of the algorithm that can be used to cancel that noise. Residual noise always appears and could not be erased completely. This research aims to know the characteristic of residual noise from vehicle's noise and analysis so that it is no longer appearing as a problem. LMS algorithm was used to predict the vehicle's noise and minimize the error. The distribution of the residual noise could be observed to determine the specificity of the residual noise. The statistic of the residual noise close to normal distribution with = 0,0435, = 1,13 and the autocorrelation of the residual noise forming impulse. As a conclusion the residual noise is insignificant.