All-pass filtered x least mean square algorithm for narrowband active noise control

Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modell...

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Main Authors: Mondal (Das), Kuheli, Das, Saurav, Abu, Aminudin, Hamada, Nozomu, oh, Hoong Thiam, Das, Saikat, Faris, Waleed Fekry
Format: Article
Published: Elsevier Ltd. 2018
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Online Access:http://eprints.utm.my/id/eprint/84317/
https://doi.org/10.1016/j.apacoust.2018.07.026
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spelling my.utm.843172019-12-28T01:46:41Z http://eprints.utm.my/id/eprint/84317/ All-pass filtered x least mean square algorithm for narrowband active noise control Mondal (Das), Kuheli Das, Saurav Abu, Aminudin Hamada, Nozomu oh, Hoong Thiam Das, Saikat Faris, Waleed Fekry T Technology (General) Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. The modelling requirement of the secondary path increases the complexity of the system implementation and decreases the control system performance. Recently several new ANC algorithms have been developed; in which there is no requirement for the modelling of the secondary path transfer function. In this regard, the aim of this paper is concerned about a narrowband feedforward ANC system in systems like air intake duct system and its novelty is to introduce all-pass filtered x LMS (APFxLMS) algorithm which do not require an estimation of the secondary path. Here first-order all pass filters with single parameter is used to improve the convergence of the LMS algorithm. The performance evaluation in terms of convergence speed of the proposed algorithm is validated with standard ANC without secondary path modelling. The results also show that the proposed method outperforms other LMS algorithm without secondary path modelling. The proposed narrowband LMS algorithm would benefit in the design of efficient feedforward ANC system that can realize noise control in air intake duct applications. Elsevier Ltd. 2018 Article PeerReviewed Mondal (Das), Kuheli and Das, Saurav and Abu, Aminudin and Hamada, Nozomu and oh, Hoong Thiam and Das, Saikat and Faris, Waleed Fekry (2018) All-pass filtered x least mean square algorithm for narrowband active noise control. Applied Acoustics, 142 . pp. 1-10. ISSN 0003-682X https://doi.org/10.1016/j.apacoust.2018.07.026
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Mondal (Das), Kuheli
Das, Saurav
Abu, Aminudin
Hamada, Nozomu
oh, Hoong Thiam
Das, Saikat
Faris, Waleed Fekry
All-pass filtered x least mean square algorithm for narrowband active noise control
description Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. The modelling requirement of the secondary path increases the complexity of the system implementation and decreases the control system performance. Recently several new ANC algorithms have been developed; in which there is no requirement for the modelling of the secondary path transfer function. In this regard, the aim of this paper is concerned about a narrowband feedforward ANC system in systems like air intake duct system and its novelty is to introduce all-pass filtered x LMS (APFxLMS) algorithm which do not require an estimation of the secondary path. Here first-order all pass filters with single parameter is used to improve the convergence of the LMS algorithm. The performance evaluation in terms of convergence speed of the proposed algorithm is validated with standard ANC without secondary path modelling. The results also show that the proposed method outperforms other LMS algorithm without secondary path modelling. The proposed narrowband LMS algorithm would benefit in the design of efficient feedforward ANC system that can realize noise control in air intake duct applications.
format Article
author Mondal (Das), Kuheli
Das, Saurav
Abu, Aminudin
Hamada, Nozomu
oh, Hoong Thiam
Das, Saikat
Faris, Waleed Fekry
author_facet Mondal (Das), Kuheli
Das, Saurav
Abu, Aminudin
Hamada, Nozomu
oh, Hoong Thiam
Das, Saikat
Faris, Waleed Fekry
author_sort Mondal (Das), Kuheli
title All-pass filtered x least mean square algorithm for narrowband active noise control
title_short All-pass filtered x least mean square algorithm for narrowband active noise control
title_full All-pass filtered x least mean square algorithm for narrowband active noise control
title_fullStr All-pass filtered x least mean square algorithm for narrowband active noise control
title_full_unstemmed All-pass filtered x least mean square algorithm for narrowband active noise control
title_sort all-pass filtered x least mean square algorithm for narrowband active noise control
publisher Elsevier Ltd.
publishDate 2018
url http://eprints.utm.my/id/eprint/84317/
https://doi.org/10.1016/j.apacoust.2018.07.026
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