Adaptive Active Control Of Noise In 3-D Reverberant Enclosures

Bao, Chaoeng; Sas, Paul; Brussel, H. Van

doi:10.1006/jsvi.1993.1088

Cited by 109 publications

(42 citation statements)

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“…This ANC system comprises two adaptive filters; FxLMS algorithm based noise control filter W(z), and LMS algorithm based secondary path modeling filterŜ(z). Improvements in the Eriksson's method have been proposed in (Bao et al, 1993b;Kuo & Vijayan, 1997;Zhang et al, 2001). These improved methods introduce another adaptive filter into the ANC system of (Eriksson & Allie, 1989), which results in increased computational complexity.…”

Section: Review On Signal Processing Challengesmentioning

confidence: 99%

Applications of Adaptive Filtering: Recent Advancements in Active Noise Control

Tahir¹,

Mitsuhashi²,

Akinori³

2011

Adaptive Filtering Applications

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Section: Review On Signal Processing Challengesmentioning

confidence: 99%

Applications of Adaptive Filtering: Recent Advancements in Active Noise Control

Tahir¹,

Mitsuhashi²,

Akinori³

2011

Adaptive Filtering Applications

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“…Due to this large disturbance, the convergence speed ofŜ(z) is very slow, and it may diverge in a worst case. In order to improve the performance of Eriksson's method, various methods have been proposed in [3,4,5,6]. These methods add another third adaptive filter to the Eriksson's method.…”

Section: S S S(n + 1) =ŝ S S(n) + µ S F (N)v V V(n)mentioning

confidence: 99%

“…The method showed a best OSPM performance from those considered in [7]. In order to further improve the performance of this method, here we propose to varying the power of the additive random noise v(n) (modification M. 3…”

Section: M3mentioning

confidence: 99%

Noise power scheduling in active noise control systems with online secondary path modeling

Akhtar

Abe

Kawamata

2007

IEICE Electron. Express

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Abstract:In active noise control (ANC) systems, the online secondary path modeling (OSPM) methods that use additive random noise are often applied. The additive random noise, however, contributes to the residual noise, and thus deteriorates the noise control performance of ANC systems. This paper proposes a new OSPM method with power scheduling of additive random noise. Here the OSPM filter is adapted using a variable step size (VSS) LMS algorithm already proposed by authors. Furthermore, the additive-random-noise power is scheduled based on the convergence status of an ANC system. Computer simulations demonstrate the effectiveness of the proposed method. Keywords: active noise control, FxLMS algorithm, secondary-path modeling, noise-power scheduling. Classification: Science and engineering for electronics

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“…The use of auxiliary noise power injection with fixed power was originally proposed by Eriksson [14]. The original idea of Eriksson's method was later modified and extended in [15][16][17][18][19], which used fixed power auxiliary noise in all operating situations. Nevertheless, the fixed power auxiliary noise contributes to the residual error, which we want to minimize, and leads to the performance degradation of the ANC system in the steady state.…”

Section: Introductionmentioning

confidence: 99%

A New Online Secondary Path Modeling Method with An Auxiliary Noise Power Scheduling Strategy for Narrowband Active Noise Control Systems

et al. 2017

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Abstract:In recent years, the online secondary path modeling (SPM) method with an auxiliary noise power scheduling strategy has been crucial for active noise control (ANC) systems and has also become a popular research topic. However, most scheduling strategies have been designed for broadband active noise control (BANC), and these ideas may not be directly applied to narrowband active noise control (NANC) systems due to the difference in structure between BANC and NANC systems. In this paper, a new online SPM method with auxiliary noise power scheduling is proposed. Here, the controlled system is adapted using the filtered-x weighted accumulated least mean square (FXWALMS) algorithm proposed by the authors. Moreover, the auxiliary noise power is scheduled based on the convergence status of the forgetting factor to accurately track the change in the NANC system. As a result, the proposed method not only achieves good modeling accuracy and fast convergence but also considerably increases noise attenuation. Extensive simulations are conducted to prove the superior performance of the proposed method in various scenarios.

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Adaptive Active Control Of Noise In 3-D Reverberant Enclosures

Cited by 109 publications

References 0 publications

Applications of Adaptive Filtering: Recent Advancements in Active Noise Control

Applications of Adaptive Filtering: Recent Advancements in Active Noise Control

Noise power scheduling in active noise control systems with online secondary path modeling

A New Online Secondary Path Modeling Method with An Auxiliary Noise Power Scheduling Strategy for Narrowband Active Noise Control Systems

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