A robust active noise control system based on an exponential hyperbolic cosine norm.

The performance of conventional active noise control (ANC) systems degrades under non-Gaussian conditions. In the recent past, generalized filtered-x maximum correntropy criterion (FxGMCC) algorithm has been widely used to tackle such non-Gaussian noises. However, noise reduction performance of maximum correntropy criterion (MCC) based algorithms degrades due to the high steady-state misalignment. To overcome this limitation, a filtered-x exponential hyperbolic cosine adaptive filter (FxEHCAF) algorithm is proposed in this paper. Later, an affine combination technique has been applied and the corresponding affine FxEHCAF (A-FxEHCAF) algorithm has been developed here showing faster convergence rate in transient state along with low residual error in steady-state. Simulation study shows that the proposed FxEHCAF and A-FxEHCAF algorithms provide enhanced noise control performance over other existing algorithms. • A robust FxEHCAF algorithm based ANC technique is proposed. • Affine-FxEHCAF algorithm for enhanced noise control is also proposed. • The theoretical analysis of FxEHCAF and Affine-FxEHCAF are carried out. • Proposed algorithms provide improved ANC performance. [ABSTRACT FROM AUTHOR]