该文基于主动噪声控制(ANC)系统中次级通道建模的稳定性和准确性等问题提出了一种新的次级通道建模的最优变步长算法.该算法针对前馈有源ANC系统中次级通道辅助随机白噪声做出改进: 通过改变辅助随机白噪声的连续注入使得次级通道的在线建模和离线建模可以相互转换以及通过改变辅助白噪声的固定功率使得次级通道能够跟踪ANC系统稳态下的小变化.仿真结果表明,控制次级通道辅助随机白噪声连续注入和功率调度的最优变步长算法提高了ANC系统的降噪性能和次级通道的收敛速率以及建模精度.%Based on the stability and accuracy of the secondary channel modeling in active noise control (ANC)system, this paper proposes a new optimal step size algorithm for secondary channel modeling. This algorithm improves the continuous injection and fixed power consumption of the secondary channel-assisted random white noise in the feedforward active ANC system. By changing the continuous injection of auxiliary random white noise,the on-line modeling and off-line modeling of the secondary channel can be performed. Mutual conversion;By changing the fixed power consumption of the auxiliary white noise,the secondary channel can track small changes in the steady state of the ANC system. The simulation results show that the optimal variable-step algorithm for controlling continuous injection and power scheduling of the secondary channel-assisted random white noise improves the noise reduction performance of the ANC system,the convergence rate of the secondary channel,and the modeling accuracy.
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