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Title: Two-gradient direction FXLMS : an adaptive active noise control algorithm with output constraint
Authors: Shi, Dong Yuan
Gan, Woon-Seng
Lam, Bhan
Shi, Chuang
Keywords: Engineering::Electrical and electronic engineering
Saturation Distortion
Constrained Optimization
Issue Date: 2018
Source: Shi, D. Y., Gan, W.-S., Lam, B., & Shi, C. (2019). Two-gradient direction FXLMS : an adaptive active noise control algorithm with output constraint. Mechanical Systems and Signal Processing, 116, 651-667. doi:10.1016/j.ymssp.2018.06.062
Series/Report no.: Mechanical Systems and Signal Processing
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.
ISSN: 0888-3270
DOI: 10.1016/j.ymssp.2018.06.062
Rights: © 2018 Elsevier Ltd. All rights reserved. This paper was published in Mechanical Systems and Signal Processing and is made available with permission of Elsevier Ltd.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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