A new adaptive algorithm for improving the ANC system performance

In this paper a new algorithm for adaptation of active noise canceler (ANC) system is proposed. The proposed approach uses two adaptive filters, and it is an alternative to the FxLMS algorithm. The first filter is used for identification of the unknown system, and the coefficients of the second filter are adapted with the coefficient of the first filter, with the purpose to minimize the output error. The analysis of the proposed approach and simulation results show that the new algorithm exhibits faster convergence speed and smaller steady state error compared to the FxLMS algorithm and its modifications. The computational complexity of the algorithm is increased, but it is justified by the performance improvements.