Improving Computational Load of Fxlms Algorithm in Multi-channel Active Noise Control by Using a Modified Structure

نویسندگان

  • Seyedeh Zahra Jalilzadeh
  • Mohammad Asgari
چکیده

This paper concerns Active Noise Control (ANC) of feed-forward multi-channel Filtered-x Least Mean Square (FxLMS) algorithm. The FxLMS algorithm is a preferred algorithm as a controller filter in ANC systems. In spite of its popularity, computational load in multichannel systems is a main drawback. Among the existing solutions to simplify the computations, one is based on the using only one reference signal, however, in this paper; the proposed structure is based on multi-reference signals filtering in a multi-channel with J reference microphones. It achieves at the same performance, low computational load in comparison to standard structure of multi-channel FxLMS algorithm. The investigation was based on practical experiments that were done in a server room. What we concluded that the processing time in proposed structure is 90 times lower than standard structure.

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تاریخ انتشار 2014