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Fractional normalised filtered-error least mean squares algorithm for application in active noise control systems.
- Source :
-
Electronics Letters (Wiley-Blackwell) . 7/3/2014, Vol. 50 Issue 14, p53-55. 3p. - Publication Year :
- 2014
-
Abstract
- A novel fractional normalised filtered-error least mean squares (FN-FeLMS) algorithm is designed for secondary path modelling in active noise control systems. The update is formed as a combination of the conventional LMS and a fractional update derived from the Riemann-Liouville differintegral operator. The algorithm is considered for (machine) noise reduction for a primary path with zeromean binary or Gaussian sources as inputs. An anti-noise signal is generated to alleviate the effect of noise and to minimise the filtered error by improved secondary path modelling. The proposed arrangement is evaluated for a number of different scenarios by varying the step size and fractional orders. Simulation results show that the proposed technique is more robust to step size variation; it outperforms the traditional FeLMS approach in terms of convergence, model accuracy and steady-state performance for a given signal-to-noise ratio. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00135194
- Volume :
- 50
- Issue :
- 14
- Database :
- Academic Search Index
- Journal :
- Electronics Letters (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 97056822
- Full Text :
- https://doi.org/10.1049/el.2014.1275