Optimizing of active noise control for acoustic calibration: influence of control speaker distance and algorithm Chery Chaen Putri, Denny Hermawanto, Fajar Budiutomo, Ninuk Ragil Prasasti, Bondan Dwisetyo
BRIN
Abstract
A controlled environment with minimal background noise is required for acoustic calibration procedure. To achieve this, a study to develop a sound insulation box equipped with active noise control system has been done. This study compares two adaptive algorithm, Least Mean Squares and Filtered-x Least Mean Squares. For the Filtered-x Least Mean Squares method, the secondary path is modelled by impulse response utilizing maximum length sequence signal. The effectiveness of each method is evaluated based on the reduction of the noise signal. The result shows that Least Mean Squares method is easier to implement, however the Filtered-x Least Mean Squares method provides a better noise reduction within the frequency range. Furthermore, the effect of varying the distance between the control speaker and the error microphone is also investigated. The experiment result shows that the Filtered-x Least Mean Squares method is better suited for application where the distance between the control speaker and error microphone may vary.
