Analysis of the filtered-X LMS algorithm and a related new algorithm for active control of multitonal noise

In the presence of tonal noise generated by periodic noise source like rotating machines, the filtered-X LMS (FXLMS) algorithm is used for active control of such noises. However, the algorithm is derived under the assumption of slow adaptation limit and the exact analysis of the algorithm is restricted to the case of one real sinusoid in the literature. In this paper, for the general case of arbitrary number of sources, the characteristic polynomial of the equivalent linear system describing the FXLMS algorithm is derived and a method for calculating the stability limit is presented. Also, a related new algorithm free from the above assumption, which is nonlinear with respect to the tap weights, is proposed. Simulation results show that in the early stage of adaptation the new algorithm gives faster decay of errors.

[1]  Martin Bouchard,et al.  Computational load reduction of fast convergence algorithms for multichannel active noise control , 2003, Signal Process..

[2]  Ingvar Claesson,et al.  Convergence analysis of a twin-reference complex least-mean-squares algorithm , 2002, IEEE Trans. Speech Audio Process..

[3]  S. Thomas Alexander,et al.  Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.

[4]  M. O. Tokhi,et al.  Active noise control systems , 1987 .

[5]  Sen M. Kuo,et al.  Passband disturbance reduction in periodic active noise control systems , 1996, IEEE Trans. Speech Audio Process..

[6]  Ingvar Claesson,et al.  Evaluation of multiple reference active noise control algorithms on Dornier 328 aircraft data , 1999, IEEE Trans. Speech Audio Process..

[7]  Martin Bouchard Multichannel fast affine projection algorithm for active noise Control , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.