In modern technologies, the problem of acoustic noise is increasing day to day with lightweight materials used in automobiles, industries, household and other applications. In order to protect human health from this problem, several kinds of Active Noise Control (ANC) techniques have been proposed for the last two decades. It is working based on homogeneity and additive principle. I.e. The acoustic noise can be minimized by producing a controllable secondary signal having similar magnitude and frequency but with opposite phase sign. In this paper, a MATLAB, Simulink model for the ANC is proposed with different Filtered x-Adaptive Algorithms (FxAA). The performance of the model has been evaluated under different Acoustic Noise cases using modified algorithms. Subsequently, the performance metrics have been estimated such as Signal to Noise Ratio (SNR), Mean Square Error (MSE), Mean Noise Reduction (MNR), Convergence rate and Power spectral density (PSD). It is observed that noise level cancellation using Filtered x Sign Error Least Mean Square (FxSELMS) algorithm is outperformed when compared with other Filtered x-Adaptive Algorithms (FxAA).
Volume 12 | 03-Special Issue
Pages: 951-959
DOI: 10.5373/JARDCS/V12SP3/20201339