Adaptive feedback noise control with leaky FeLMS algorithm

نویسندگان

  • Kai CHEN
  • Roshun PAUROBALLY
  • Jie PAN
  • Xiaojun QIU
چکیده

In this paper, an adaptive feedback control algorithm for ANC (Active Noise Control) with leaky FeLMS (Filtered-error Least Mean Square) algorithm is proposed. A shaping function is used in the updating equation, which selects the frequency band of the noise attenuation for the ANC system. Compared with the adaptive feedback ANC structure based on traditional FxLMS (Filtered-x Least Mean Square) algorithm, the effects of the proposed algorithm are focused only on the selected band and interference from other frequency bands, which can induce instability, can be reduced significantly. The RF is only applied on the updating process for the coefficients of the control filter rather, so the proposed algorithm does not introduce any extra delay. In this paper, the proposed algorithm is analyzed and it is proven to be suitable for applications where broadband noise is present, but the targeted band is limited to a narrow band.

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تاریخ انتشار 2014