Modified Filtered-x LMS Algorithm Based Cross-updating Active Noise Control System with Online Secondary-Path Modeling

نویسندگان

  • Muhammad Tahir Akhtar
  • Masahide Abe
  • Masayuki Kawamata
چکیده

This paper proposes an improved performance cross-updating active noise system with online secondarypath modeling. The existing cross-updating active noise control system comprises three adaptive filters; a noise-control filter, a secondary-path modeling filter, and an adaptive-noisecancelation filter; where FxLMS algorithm is used in adaptation of the noise-control filter. In the proposed method, on the other hand, the noise-control filter is updated using modified FxLMS (MFxLMS) algorithm. Simulation results show that the proposed method gives better performance than the FxLMS algorithm based cross-updated ANC system.

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تاریخ انتشار 2004