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A survey on active noise control techniques -- Part II: Nonlinear systems
TL;DR: In this paper, the authors reviewed the development of the linear active noise control (ANC) technique in the past decade and highlighted recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms.
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Abstract: Part I of this paper reviewed the development of the linear active noise control (ANC) technique in the past decade. However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario. To overcome this limitation, nonlinear ANC (NLANC) algorithms were developed. In Part II, we review the development of NLANC algorithms during the last decade. The contributions of heuristic ANC algorithms are outlined. Moreover, we emphasize recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms. Then, we present recent applications of ANC technique including linear and nonlinear perspectives. Future research challenges regarding ANC techniques are also discussed.
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Citations
Multi-reference Adaptive Gain FXLMS Algorithm for Active Noise Control
21 Apr 2023
TL;DR: In this article , a multi-reference adaptive gain (MRAG-FXLMS) algorithm was proposed to enhance the performance of the multi reference least mean square algorithm (MR- FXLMS).
References
Two-gradient direction FXLMS: An adaptive active noise control algorithm with output constraint
TL;DR: 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, which has the advantage of minimizing system overdriving, maintaining a specified power budget, and enhancing system stability.
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A weight-constrained FxLMS algorithm for feedforward active noise control systems
Hui Lan,Ming Zhang,Wee Ser +2 more
TL;DR: A weight-constrained filtered-x LMS (CFxLMS) algorithm is proposed for broadband feedforward active noise control system and computer simulation results show the effectiveness of the algorithm.
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Patent
Active noise control system and method for on-line feedback path modeling
Sen M. Kuo
- 16 Dec 1997
TL;DR: In this article, a feed forward active noise control system (50 ) is provided for generating an anti-noise signal to attenuate a noise signal provided through a media, which includes a reference sensor (16), a secondary source (18), an error sensor (20), and an active noise controller (10).
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Analysis of Frequency Mismatch in Narrowband Active Noise Control
TL;DR: Theoretical analysis shows that the noise reduction and convergence rate are functions of frequency mismatch, step size, and phase error in the secondary-path model for the FXLMS algorithm.
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Low-complexity adaptive step size constrained constant modulus SG algorithms for adaptive beamforming
TL;DR: Two low-complexity adaptive step size mechanisms to enhance the performance of stochastic gradient algorithms for adaptive beamforming are proposed and demonstrated to achieve superior performance compared with existing methods.
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