Control of impulsive noise is one important challenge for the practical
implementation of active noise control (ANC) systems. The advantages and
disadvantages of the popular filtered-X least mean square (FXLMS) ANC algorithm
and nonlinear filtered-X least mean M-estimate (FXLMM) algorithm are discussed
in this paper. A new modified FXLMM algorithm is also proposed to achieve better
performance in controlling impulsive noise. A hardware-in-the-loop experiment
platform is built using the dSPACE system. Also, computer simulations and
experiments are carried out for all three algorithms and the results are presented and
analyzed. The results show that the FXLMM and modified FXLMM algorithms are
more robust in suppressing the adverse effect of sudden large amplitude impulses
than the FXLMS algorithm, and in particular, the proposed modified FXLMM
algorithm can achieve better stability without sacrificing the performance of residual noise when encountering impulses.
University of Minnesota M.S. thesis. July 2011. Major: Engineering management. Advisor:Xun Yu. 1 computer file (PDF); iv, 33 pages.
Computational and experimental study of an active noise cancellation system for impulsive noise..
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