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Variable step-size based online acoustic feedback neutralization in single-channel active noise control systems

机译:基于阶梯大小的在单通道主动噪声控制系统中的在线声反馈中和

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This paper concerns acoustic feedback neutralization (FBN) during online operation of single-channel active noise control (ANC) systems. In existing approach, two FIR filters are used for this task: adaptive for feedback path modeling (FBPM) and fixed for FBN. Previously, we have proposed a simplified method where these two tasks of modeling and neutralization have been combined into one feedback path modeling and neutralization (FBPMN) adaptive filter. Here we introduce an intuition based based variable step-size (VSS) parameter, for LMS equation of FBPMN filter. This VSS is motivated from the fact that the error signal of FBPMN filter contains a disturbance component that is decreasing in nature. The computer simulations are carried out which demonstrate that the proposed method achieves better performance than the existing methods and at somewhat reduced computational cost.
机译:本文涉及单通道主动噪声控制(ANC)系统在线运行期间的声反馈中和(FBN)。在现有方法中,两个FIR滤波器用于此任务:适用于反馈路径建模(FBPM)并为FBN固定。以前,我们提出了一种简化的方法,其中建模和中和的这两个任务已被组合成一个反馈路径建模和中和(FBPMN)自适应滤波器。在这里,我们引入了基于直觉的可变步长(VSS)参数,用于FBPMN滤波器的LMS方程。该VSS具有激励FBPMN滤波器的误差信号的事实中包含自然界下降的干扰分量。进行计算机模拟,这表明该方法比现有方法实现了更好的性能,并且略微降低计算成本。

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