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Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC

Recently, THF-NLFXLMS algorithm was developed to compensate the nonlinearity encountered in nonlinear active noise control systems. Despite similar performance, this algorithm is more advantageous than the Nonlinear Filtered-X Least Mean Square (NLFXLMS) due to the use of tangential hyperbolic funct...

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Main Authors: Srazhidinov, Radik, Raja Ahmad, Raja Mohd Kamil
Format: Conference or Workshop Item
Language:English
Published: IEEE 2016
Online Access:http://psasir.upm.edu.my/id/eprint/56107/1/Performance%20comparison%20of%20THF-NLFXLMS%20and%20VFXLMS%20algorithms%20for%20Hammerstein%20NANC.pdf
http://psasir.upm.edu.my/id/eprint/56107/
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spelling my.upm.eprints.561072017-07-03T09:36:47Z http://psasir.upm.edu.my/id/eprint/56107/ Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC Srazhidinov, Radik Raja Ahmad, Raja Mohd Kamil Recently, THF-NLFXLMS algorithm was developed to compensate the nonlinearity encountered in nonlinear active noise control systems. Despite similar performance, this algorithm is more advantageous than the Nonlinear Filtered-X Least Mean Square (NLFXLMS) due to the use of tangential hyperbolic function (THF) instead of scaled error function (SEF) which allows the degree of nonlinearity to be modeled. In addition, the computational complexity is relatively small compared to other direct nonlinear adaptive algorithm like the Volterra filter. In this paper, the performance of THF-NLFXLMS algorithm for Hammerstein secondary path structure is quantified and compared with NLFXLMS and the Volterra Filtered-x Least Mean Squares (VFXLMS) algorithm of similar computational complexity. The results show that the THF-NLFXLMS algorithm has similar performance as NLFXLMS algorithm and outperforms 2nd order VFXLMS algorithm. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56107/1/Performance%20comparison%20of%20THF-NLFXLMS%20and%20VFXLMS%20algorithms%20for%20Hammerstein%20NANC.pdf Srazhidinov, Radik and Raja Ahmad, Raja Mohd Kamil (2016) Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC. In: 2016 IEEE Conference on Systems, Process and Control (ICSPC 2016), 16-18 Dec. 2016, Melaka, Malaysia. (pp. 76-79). 10.1109/SPC.2016.7920707
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Recently, THF-NLFXLMS algorithm was developed to compensate the nonlinearity encountered in nonlinear active noise control systems. Despite similar performance, this algorithm is more advantageous than the Nonlinear Filtered-X Least Mean Square (NLFXLMS) due to the use of tangential hyperbolic function (THF) instead of scaled error function (SEF) which allows the degree of nonlinearity to be modeled. In addition, the computational complexity is relatively small compared to other direct nonlinear adaptive algorithm like the Volterra filter. In this paper, the performance of THF-NLFXLMS algorithm for Hammerstein secondary path structure is quantified and compared with NLFXLMS and the Volterra Filtered-x Least Mean Squares (VFXLMS) algorithm of similar computational complexity. The results show that the THF-NLFXLMS algorithm has similar performance as NLFXLMS algorithm and outperforms 2nd order VFXLMS algorithm.
format Conference or Workshop Item
author Srazhidinov, Radik
Raja Ahmad, Raja Mohd Kamil
spellingShingle Srazhidinov, Radik
Raja Ahmad, Raja Mohd Kamil
Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
author_facet Srazhidinov, Radik
Raja Ahmad, Raja Mohd Kamil
author_sort Srazhidinov, Radik
title Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
title_short Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
title_full Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
title_fullStr Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
title_full_unstemmed Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
title_sort performance comparison of thf-nlfxlms and vfxlms algorithms for hammerstein nanc
publisher IEEE
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/56107/1/Performance%20comparison%20of%20THF-NLFXLMS%20and%20VFXLMS%20algorithms%20for%20Hammerstein%20NANC.pdf
http://psasir.upm.edu.my/id/eprint/56107/
_version_ 1643836092637511680
score 13.211869

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