Pre-inverse type active noise control with bias free structure

Pre-inverse type active noise control with bias free structure
复制标题

DOI:
10.1109/isccsp.2014.6877944
复制
发表时间:
2014-05
期刊:
2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)
影响因子:
--
通讯作者:
N. Sasaoka;K. Nakamura;Kazushi Otsuki;Y. Itoh;Masaki Kobayashi
N. Sasaoka;K. Nakamura;Kazushi Otsuki;Y. Itoh;Masaki Kobayashi
中科院分区:
其他
文献类型:
--
作者:
N. Sasaoka;K. Nakamura;Kazushi Otsuki;Y. Itoh;Masaki Kobayashi

文献摘要

相似文献

滤波x算法被广泛用于有源噪声控制(ANC)。然而,由于二次路径的建模误差,有可能使ANC不稳定。这个问题是由一个经过滤波的输入信号引起的,该输入信号被用作控制滤波器的自适应算法的抽头输入。为了解决这一问题,提出了一种预逆ANC(PIANC),它用平坦的延迟信号代替滤波后的输入信号。因此,非国大系统变得稳定。然而,由于传统的PIANC使用串联自适应滤波器来估计次级路径的逆传递函数,因此由于偏置误差而降低了降噪能力。因此,本文将一种无偏结构引入到次级路径逆传递函数的估计中。所提出的结构利用了主路径的延迟。
Filtered-x algorithm is widely used for an active noise control (ANC). However, it has a possibility of making ANC unstable due to the modeling error of secondary path. This problem is caused by a filtered input signal, which is used as tap inputs of adaptive algorithm for a control filter. In order to solve the problem, a pre-inverse ANC (PIANC) has proposed, which uses the flat delayed signal instead of a filtered input signal. Thus, the ANC system becomes stable. However, since the conventional PIANC uses a series adaptive filter to estimate the inverse transfer function of the secondary path, the noise reduction ability is degraded due to bias error. Therefore, this paper introduces a bias free structure into the estimation of the inverse transfer function of the secondary path. The proposed structure takes advantage of the delay of the primary path.