Active noise control system for narrowband noise using FxLMS algorithm

An active noise control (ANC) is a method used to reduce noise effectively. The filtered-X least mean square (FxLMS) algorithm is considered to be the best choice for its reduced complexity and robustness, especially for controller in adaptive filter. In this paper FxLMS algorithm is applied for narrow band noise. Also the system uses variable learning parameter (variable step size) to improve the convergence speed and reduction in noise. The objective of using variable step FxLMS (VSFxLMS) algorithm is to reduce the noise level in source with novel convergence speed in addition to secondary impulse response. Simulations are carried out using MATLAB. The reduction of noise in a narrow band is preferred so that effective and efficient noise control will be achieved and a comparative result with fixed step FxLMS (FSFxLMS) is shown.