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Active non-linear noise control with non-linearities in the secondary path

机译:次级路径中具有非线性的主动非线性噪声控制

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The filtered-X LMS algorithm is successfully applied in linear active noise control and linear active vibration control. However, when it comes to non-linear noise or vibration control, or when the secondary path has a non-linearity, this algorithm must be modified to ensure that it converges and that it is unbiased. Some modified algorithms have been proposed for active control of nonlinear noise with a linear secondary path [L.Z. Tan and J. Jiang, Aug. 2001] or a weakly non-linear secondary path [V. DeBrunner and D. Zhou, 2002]. In this paper, we extend 'a non-linear filtered-X LMS' algorithm to solve the active non-linear noise control (ANNC) and active non-linear vibration control (ANVC) with non-linearities in the secondary path using an adaptive Volterra filter for the first time. Two improved versions of the non-linear adaptive filters that improve the stability and reduce the computational complexity are proposed and discussed in detail. Simulations show their effectiveness.
机译:X滤波LMS算法已成功应用于线性主动噪声控制和线性主动振动控制。但是,当涉及非线性噪声或振动控制时,或者当次级路径具有非线性时,必须修改此算法以确保其收敛并且没有偏见。已经提出了一些改进的算法,用于通过线性次级路径[L.Z.]主动控制非线性噪声。 Tan和J. Jiang,2001年8月]或弱非线性次级路径[V. DeBrunner和D. Zhou,2002年]。在本文中,我们扩展了“非线性滤波X LMS”算法,以使用自适应算法来解决次级路径中具有非线性的主动非线性噪声控制(ANNC)和主动非线性振动控制(ANVC)首次使用Volterra过滤器。提出并详细讨论了两种改进版本的非线性自适应滤波器,它们可以提高稳定性并降低计算复杂性。仿真表明了它们的有效性。

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