Wind noise suppression in filtered-x least mean squares-based active noise control systems.

Nature Research
Publication Type:
Journal Article
Journal of the Acoustical Society of America, 2022, 152, (6), pp. 3340-3345
Issue Date:
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10.0016443.pdfPublished version1.68 MB
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Wind noise is notorious for its detrimental impacts on audio devices. This letter evaluates the influence of wind noise on the active noise control performance of headphones in a wind tunnel, and the noise reduction is found to decrease with wind speeds. To improve the performance of noise control systems in windy environments, the filtered-x least mean squares algorithm is modified based on the total least squares technique, taking the characteristics of wind noise into account. Computer simulations with real-recorded data demonstrate that the proposed algorithm could improve the noise reduction by approximately 3 dB in windy conditions.
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