A robust online secondary path modeling method with auxiliary noise power scheduling strategy and norm constraint manipulation
A robust online secondary path modeling method with auxiliary noise power scheduling strategy and norm constraint manipulation
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DOI：
10.1109/tsa.2003.805643
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发表时间：
2003-02
期刊：
影响因子：
--
通讯作者：
Ming Zhang;H. Lan;W. Ser
中科院分区：
文献类型：
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作者：
Ming Zhang;H. Lan;W. Ser
在许多实际的有源噪声控制（ANC）中，经常采用利用辅助噪声的在线次级通道建模方法。然而，辅助噪声对残余噪声有贡献，从而降低ANC系统的噪声控制性能。此外，次路径的突然和大的变化导致现有的在线次路径建模方法容易发散。为了缓解这些问题，本文提出了一种新的在线辅助噪声功率调度和自适应滤波器范数操纵次级路径建模方法。基于ANC系统的收敛状态并考虑主噪声的变化来调度辅助噪声功率。其目的是减轻由于辅助噪声而引起的残余噪声的增加。此外，范数操作被应用到ANC系统中的自适应滤波器。目的是避免由于次级路径中的突然大的变化而导致的自适应滤波器的过度更新，从而防止ANC系统发散。计算机仿真表明了该方法的有效性和鲁棒性。
In many practical cases for active noise control (ANC), the online secondary path modeling methods that use auxiliary noise are often applied. However, the auxiliary noise contributes to residual noise, and thus deteriorates the noise control performance of ANC systems. Moreover, a sudden and large change in the secondary path leads to easy divergence of the existing online secondary path modeling methods. To mitigate these problems, this paper proposes a new online secondary path modeling method with auxiliary noise power scheduling and adaptive filter norm manipulation. The auxiliary noise power is scheduled based on the convergence status of an ANC system with consideration of the variation of the primary noise. The purpose is to alleviate the increment of the residual noise due to the auxiliary noise. In addition, the norm manipulation is applied to adaptive filters in the ANC system. The objective is to avoid over-updates of adaptive filters due to the sudden large change in the secondary path and thus prevent the ANC system from diverging. Computer simulations show the effectiveness and robustness of the proposed method.