Optimal variable step-size NLMS algorithms for feedforward active noise control

The paper improves the feedforward active noise control system with online secondary path modeling developed by Akhtar, Abe, and Kawamata by deriving optimal variable step-size parameters for the adaptation algorithms of the secondary path modeling filter and of the control filter. It is shown that the adaptation algorithms equipped with the optimal variable step-size parameters improve the convergence speed of the system and the estimation accuracy of the optimal control filter.