Title: Channel self-adjusting filtered-x LMS algorithm for active control of vehicle road noise

Authors: Tao Feng; Guohua Sun; Mingfeng Li; Teik C. Lim

Addresses: Vibro-Acoustics and Sound Quality Research Laboratory, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, University of Cincinnati, 598 Rhodes Hall, P.O. Box 210072, Cincinnati, OH 45221-0072, USA ' Vibro-Acoustics and Sound Quality Research Laboratory, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, University of Cincinnati, 598 Rhodes Hall, P.O. Box 210072, Cincinnati, OH 45221-0072, USA ' Vibro-Acoustics and Sound Quality Research Laboratory, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, University of Cincinnati, 598 Rhodes Hall, P.O. Box 210072, Cincinnati, OH 45221-0072, USA ' Vibro-Acoustics and Sound Quality Research Laboratory, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, University of Cincinnati, 598 Rhodes Hall, P.O. Box 210072, Cincinnati, OH 45221-0072, USA

Abstract: Current active road noise control (ARNC) systems, configured with the standard filtered-x least mean square (FxLMS) algorithm, are not sufficient enough to yield an ideal noise reduction over a broad frequency range. This is because ARNC systems generally employ multiple reference signals, which has an inherent limitation of the channel-dependent convergence behaviour due to dynamic characteristics amongst reference signals. In this study, an effective ARNC system with the channel self-adjusting FxLMS (CSFxLMS) algorithm by incorporating the self-adjusting parameter on each reference signal path is proposed, which is to minimise the effect of its dynamics characteristics in different reference channels. To validate the effectiveness of the proposed algorithm, numerical simulations using measured road noise response is conducted. Results show that the performance of the proposed CSFxLMS algorithm is significantly better as compared to the conventional FxLMS algorithm, and is able to achieve around 5 dBA reductions at the driver's ear position.

Keywords: filtered-x LMS algorithm; active noise control; ANC; road noise; convex combination method.

DOI: 10.1504/IJVNV.2017.089525

International Journal of Vehicle Noise and Vibration, 2017 Vol.13 No.3/4, pp.267 - 281

Available online: 19 Jan 2018 *

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