Online secondary path modeling in multichannel active noise control systems using variable step size

Muhammad Tahir Akhtar; Masahide Abe; Masayuki Kawamata; Akinori Nishihara

doi:10.1016/j.sigpro.2008.02.004

Online secondary path modeling in multichannel active noise control systems using variable step size

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata, Akinori Nishihara

Research output: Contribution to journal › Article › peer-review

42 Citations (Scopus)

Abstract

In single-channel feedforward active noise control (ANC) systems, additive random noise based methods are often applied to achieve secondary path modeling (SPM) during online operation. This paper investigates the issue of online SPM in multichannel ANC systems. It is shown that the application of existing methods for online SPM in multichannel ANC systems greatly increases the computational complexity. Here we extend our previous work on single-channel variable step-size online SPM to multichannel ANC systems. It is shown that the proposed method has reduced computational complexity as compared with other methods. Computer simulations are carried out that demonstrate the effectiveness of the proposed method.

Original language	English
Pages (from-to)	2019-2029
Number of pages	11
Journal	Signal Processing
Volume	88
Issue number	8
DOIs	https://doi.org/10.1016/j.sigpro.2008.02.004
Publication status	Published - Aug 1 2008
Externally published	Yes

Keywords

Adaptive signal processing
Multichannel active noise control
Secondary path modeling

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.sigpro.2008.02.004

http://www.mendeley.com/research/online-secondary-path-modeling-multichannel-active-noise-control-systems-using-variable-step-size-4

Cite this

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title = "Online secondary path modeling in multichannel active noise control systems using variable step size",

abstract = "In single-channel feedforward active noise control (ANC) systems, additive random noise based methods are often applied to achieve secondary path modeling (SPM) during online operation. This paper investigates the issue of online SPM in multichannel ANC systems. It is shown that the application of existing methods for online SPM in multichannel ANC systems greatly increases the computational complexity. Here we extend our previous work on single-channel variable step-size online SPM to multichannel ANC systems. It is shown that the proposed method has reduced computational complexity as compared with other methods. Computer simulations are carried out that demonstrate the effectiveness of the proposed method.",

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AU - Akhtar, Muhammad Tahir

AU - Abe, Masahide

AU - Kawamata, Masayuki

AU - Nishihara, Akinori

PY - 2008/8/1

Y1 - 2008/8/1

N2 - In single-channel feedforward active noise control (ANC) systems, additive random noise based methods are often applied to achieve secondary path modeling (SPM) during online operation. This paper investigates the issue of online SPM in multichannel ANC systems. It is shown that the application of existing methods for online SPM in multichannel ANC systems greatly increases the computational complexity. Here we extend our previous work on single-channel variable step-size online SPM to multichannel ANC systems. It is shown that the proposed method has reduced computational complexity as compared with other methods. Computer simulations are carried out that demonstrate the effectiveness of the proposed method.

AB - In single-channel feedforward active noise control (ANC) systems, additive random noise based methods are often applied to achieve secondary path modeling (SPM) during online operation. This paper investigates the issue of online SPM in multichannel ANC systems. It is shown that the application of existing methods for online SPM in multichannel ANC systems greatly increases the computational complexity. Here we extend our previous work on single-channel variable step-size online SPM to multichannel ANC systems. It is shown that the proposed method has reduced computational complexity as compared with other methods. Computer simulations are carried out that demonstrate the effectiveness of the proposed method.

KW - Adaptive signal processing

KW - Multichannel active noise control

KW - Secondary path modeling

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Online secondary path modeling in multichannel active noise control systems using variable step size

Abstract

Keywords

ASJC Scopus subject areas

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