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Wind noise suppression in filtered-x least mean squares-based active noise control systems
Yijing Chu1, Sipei Zhao2, Longbiao He3
1State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, China.
Abstract:
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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