Subband active noise control algorithm based on a delayless subband adaptive filter architecture

In this paper, a new active noise control algorithm based on a delayless subband adaptive filter architecture is presented. Also, an on-line system identification method implemented in the subband structure is suggested. To implement the filtered-x LMS algorithm in the subband structure, the secondary path transfer function is decomposed into sets of subband functions. The two filter on-line modeling algorithm is then applied to each subband to estimate the secondary-path transfer function in a decomposed form. In this manner, the computational load for the on-line system identification is reduced by a factor 3 compared with the wideband approach. Simulation results are presented to show the efficiency of the new ANC algorithm and the performance of the on-line system identification scheme