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- Title
Modified Filtered-X Hierarchical LMS Algorithm with Sequential Partial Updates for Active Noise Control.
- Authors
Ramos Lorente, Pedro; Martín Ferrer, Raúl; Arranz Martínez, Fernando; Palacios-Navarro, Guillermo
- Abstract
In the field of active noise control (ANC), a popular method is the modified filtered-x LMS algorithm. However, it has two drawbacks: its computational complexity higher than that of the conventional FxLMS, and its convergence rate that could still be improved. Therefore, we propose an adaptive strategy which aims at speeding up the convergence rate of an ANC system dealing with periodic disturbances. This algorithm consists in combining the organization of the filter weights in a hierarchy of subfilters of shorter length and their sequential partial updates (PU). Our contribution is threefold: (1) we provide the theoretical basis of the existence of a frequency-dependent parameter, called gain in step-size. (2) The theoretical upper bound of the step-size is compared with the limit obtained from simulations. (3) Additional experiments show that this strategy results in a fast algorithm with a computational complexity close to that of the conventional FxLMS.
- Subjects
ACTIVE noise control; ADAPTIVE signal processing; COMPUTATIONAL complexity; ALGORITHMS
- Publication
Applied Sciences (2076-3417), 2021, Vol 11, Issue 1, p344
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app11010344