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Although the Filtered-X LMS (FLMS) algorithm is widely used in the Adaptive Active Noise Control (AANC) system due to its simplicity, its applications to an AANC are limited because it is intensively sensitive to the dispersion of the eigenvalues of the autocorrelation matrix of the input signal vector. The Filtered-X Momentum LMS (FMLMS) algorithm proposed in this paper includes a momentum term to weight update equation of the FLMS algorithm. From the theoretical analysis, the computer simulations and the experimental resultsin a half-anechoic room, it is shown that the FMLMS algorithm has more advantages than the FLMS algorithm for a single-path AANC system.
Although the Filtered-X LMS (FLMS) algorithm is widely used in the Adaptive Active Noise Control (AANC) system due to its simplicity, its applications to an AANC are limited because it is intensively sensitive to the dispersion of the eigenvalues of the autocorrelation matrix The Filtered-X Momentum LMS (FMLMS) algorithm proposed in this paper includes a momentum term to weight update equation of the FLMS algorithm. From the theoretical analysis, the computer simulations and the experimental results in a half-anechoic room , it is shown that the FMLMS algorithm has more advantages than the FLMS algorithm for a single-path AANC system.