Two-gradient direction FXLMS: an adaptive active noise control algorithm with output constraint
Two-gradient direction FXLMS: an adaptive active noise control algorithm with output constraint
Active noise control (ANC) is broadly used to cancel the unwanted disturbance in different fields because of its excellent performance in abating low-frequency noise. In practice, however, the limited driving capability of actuators restrict the maximum output power of ANC systems. Once the driving signal of the ANC system exceeds these limitations, the inherent nonlinearity of the actuators will deteriorate the noise reduction and may result in the divergence of the adaptive algorithm. Hence, the two-gradient direction filtered-x least mean square (2GD-FXLMS) algorithm based on the optimal Kuhn-Tucker solution with the output constraint is proposed in this paper. This algorithm has the advantage of minimizing system overdriving, maintaining a specified power budget, and enhancing system stability. Compared to existing output-constrained adaptive algorithms, this proposed algorithm has the same computational complexity as the conventional FXLMS algorithm, while maintaining a stricter output constraint that minimizes the saturation distortion.
651-667
Shi, Dongyuan
20b1a768-6034-462a-a9c1-6c6a7a643650
Gan, Woon-Seng
1936c59c-0552-498c-86a4-20bb81bb561a
Lam, Bhan
4893e8db-452b-4fbc-a5a8-26a26d786bfe
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
21 July 2019
Shi, Dongyuan
20b1a768-6034-462a-a9c1-6c6a7a643650
Gan, Woon-Seng
1936c59c-0552-498c-86a4-20bb81bb561a
Lam, Bhan
4893e8db-452b-4fbc-a5a8-26a26d786bfe
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Shi, Dongyuan, Gan, Woon-Seng, Lam, Bhan and Shi, Chuang
(2019)
Two-gradient direction FXLMS: an adaptive active noise control algorithm with output constraint.
Mechanical Systems and Signal Processing, 116, .
(doi:10.1016/j.ymssp.2018.06.062).
Abstract
Active noise control (ANC) is broadly used to cancel the unwanted disturbance in different fields because of its excellent performance in abating low-frequency noise. In practice, however, the limited driving capability of actuators restrict the maximum output power of ANC systems. Once the driving signal of the ANC system exceeds these limitations, the inherent nonlinearity of the actuators will deteriorate the noise reduction and may result in the divergence of the adaptive algorithm. Hence, the two-gradient direction filtered-x least mean square (2GD-FXLMS) algorithm based on the optimal Kuhn-Tucker solution with the output constraint is proposed in this paper. This algorithm has the advantage of minimizing system overdriving, maintaining a specified power budget, and enhancing system stability. Compared to existing output-constrained adaptive algorithms, this proposed algorithm has the same computational complexity as the conventional FXLMS algorithm, while maintaining a stricter output constraint that minimizes the saturation distortion.
Text
AnAdaptiveActiveNoiseControlAlgorithmwithOutputConstraint_Submit_2_M3_1
- Accepted Manuscript
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Accepted/In Press date: 30 June 2018
e-pub ahead of print date: 21 July 2018
Published date: 21 July 2019
Identifiers
Local EPrints ID: 483512
URI: http://eprints.soton.ac.uk/id/eprint/483512
ISSN: 0888-3270
PURE UUID: a24a6a61-6a05-401a-9dff-b37314efb1db
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Date deposited: 01 Nov 2023 17:40
Last modified: 18 Mar 2024 04:13
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Author:
Dongyuan Shi
Author:
Woon-Seng Gan
Author:
Bhan Lam
Author:
Chuang Shi
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