Euclidean direction search algorithm with maximum correntropy criterion for active noise control system
关键字：IMPULSIVE NOISE; CONVERGENCE ANALYSIS; STOCHASTIC-ANALYSIS; FXLMS ALGORITHM; LMS ALGORITHM; PERFORMANCE; FILTER
摘要：Based on the principle of superposition, the active noise control (ANC) technique can achieve satisfactory noise reduction. The filtered-x least mean square (FxLMS) algorithm has been extensively implemented in the ANC problem but it is easily plunged into instability in impulsive noise scenarios. To ameliorate this disadvantage, benefiting from the reduced computational load of the Euclidean direction search (EDS) algorithm and robustness of the maximum correntropy criterion (MCC), a novel filtered-x EDS-MCC (FxEDS-MCC) algorithm is proposed to attenuate the impulsive interference. The theoretical analysis of the FxEDS-MCC algorithm is based on the rotated method and the Taylor series expansion approximation. Simulations validate the accuracy of the theoretical performance and verify the improved performance of the FxEDS-MCC algorithm in comparison with the existing algorithms.
卷号：229
期号：
是否译文：否
