Stability Improvement of Feedback Active Noise Control System Using Linear Prediction

نویسندگان

  • Ryotaro Hirayama
  • Yoshinobu Kajikawa
چکیده

In this paper, we propose a feedback active noise control (ANC) system which can surpress disturbance. The conventional feedback ANC system has a possibility of divergence because the disturbance of broadband noise corrupts the input signal for the system. To surpress the disturbance, we incorporate a linear prediction filter into the feedback ANC system. Simulation results show that the proposed feedback ANC system is superior to the conventional feedback ANC system on the stability.

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تاریخ انتشار 2009