Properties of FXLMS-based narrowband active noise control with online secondary-path modeling
IEEE Transactions on Signal Processing
Theoretical convergence analysis of FxLMS algorithm
Signal Processing
Analysis of online secondary-path modeling with auxiliary noise scaled by residual noise signal
IEEE Transactions on Audio, Speech, and Language Processing
On the convergence of real-time active noise control systems
Signal Processing
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Noise signals generated by rotating machines such as diesel engines, cutting machines, fans, etc., may be modeled as noisy sinusoidal signals which can be successfully suppressed by narrowband active noise control (ANC) systems. In this paper, statistical performance of such a conventional filtered-x LMS (FXLMS)-based narrowband ANC system is investigated in detail. First, difference equations governing the dynamics of the system are derived in terms of convergence of the mean and mean squared estimation errors for the discrete Fourier coefficients (DFCs) of the secondary source. Steady-state expressions for DFC estimation mean square error (MSE) as well as the residual noise power are then developed in closed forms. A stability bound for the FXLMS in the mean sense is also derived. Extensive simulations of various scenarios are performed to demonstrate the validity of the analytical findings.