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Performance comparison of LFXLMS, MOVFXLMS and THF-NLFXLMS algorithms for Hammerstein NANC


Citation

Srazhidinov, Radik and Raja Ahmad, Raja Mohd Kamil (2016) Performance comparison of LFXLMS, MOVFXLMS and THF-NLFXLMS algorithms for Hammerstein NANC. In: 2016 International Conference on Instrumentation, Control, and Automation (ICA 2016), 29-31 Aug. 2016, Institut Teknologi Bandung, Bandung, Indonesia. (pp. 12-15).

Abstract

Filtered-X least mean square (FXLMS) algorithm is widely used in active noise control (ANC) systems when the secondary path is linear. However, the performance of FXLMS reduces when nonlinearity is present. Leaky FXLMS (LFXLMS) and minimum output variance FXLMS (MOVFXLMS) algorithms are effective in compensating the nonlinearity effects in nonlinear ANC (NANC). When using optimum leakage factors, these algorithms show close performance with benchmark nonlinear FXLMS (NLFXLMS) algorithm. In all three algorithms, the degree of nonlinearity must be known in advance and are usually assumed. In previous works, Tangential Hyperbolic Function NLFXLMS (THF-NLFXLMS) algorithm has been developed whereby the degree of nonlinearity is estimated using tangential hyperbolic function (THF). In this work, the performance of LFXLMS and MOVFXLMS based on optimum leakage factors calculated using the estimated degree of nonlinearity is compared with THF-NLFXLMS for Hammerstein structure. The results show that optimum MOVFXLMS performs similarly to optimum LFXLMS and THF-NLFXLMS.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/ICA.2016.7811467
Publisher: IEEE
Keywords: FXLMS; Hammerstein; LFXLMS; MOVFXLMS; NANC; Optimum leakage factor; THF-NLFXLMS
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 09:01
Last Modified: 31 Jul 2017 09:01
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICA.2016.7811467
URI: http://psasir.upm.edu.my/id/eprint/56338
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