Sigmoid变换的滤波-x四元数最小均方算法OA北大核心CSTPCD

FxLMS algorithm is the commonly adopted algorithm in active noise control system,which has a good control effect on medium and low frequency noise,but the traditional algorithms may not reach the desired suppression effect in certain environmental noise.Filtered-x quaternion least mean square algorithm of sigmoid transformation is proposed,which exploits the spatial characteristics of quaternion to make noise signals couple and correlate in the hyper-complex domain.The sigmoid function is applied to perform nonlinear transform on the error signal to constrain the noise signal to avoid the divergence during the weight update progress,so as to achieve better convergence performance and enhanced robustness.The steady state of the proposed algorithm is analyzed,the superiority of the proposed algorithm in noise reduction is verified in volvo and factory noise environments.The simulation results support the conclusions.