【摘要】 通风口处空气流动往往会引起基于前馈控制的主动降噪系统性能下降，针对通风口处风噪声控制问题，提出一种风噪声抑制主动降噪(ANC)算法。对风环境下滤波x最小均方(FxLMS)算法理论分析，并在消声室内验证ANC系统(ANC耳机)受风噪声影响。理论分析及实验表明：ANC系统降噪效果随风速增加而降低。然后，在考虑风噪声频谱特性的基础上，结合整体最小二乘技术对传统FxLMS算法进行改进。仿真结果及消声室测量表明：提出的改进算法能有效抑制风噪声干扰，降噪性能接近无风时的情况，可将风环境的降噪量提高3～6 dB。更多还原

【Abstract】 To solve the problem of Active Noise Control(ANC) near the vent area, a new ANC algorithm with wind noise suppression was proposed. The performance of feed forward ANC systems may be degraded in windy environment, where the wind noise is usually collected by the reference microphone and makes the anti-sound less accurate. Therefore, improving the noise reduction performance of ANC systems in windy conditions is crucial. The theoretical analysis of the Filtered-x Least Mean Squares(FxLMS) algorithm showed that the wind noise introduced an estimation bias in the steady-state solution. The performance of an ANC system(ANC headphones) was tested in an anechoic chamber in windy environments. The results showed that the noise reduction decreased with wind speed. An improved algorithm was proposed, which considered the spectrum properties of wind noise and incorporated the total least squares techniques based on FxLMS algorithm. Computer simulations and experiments in the anechoic chamber showed that the improved algorithm was efficient in suppressing wind noise. The noise reduction performance was close to that in wind-noise-free environment, which could be increased by 3～6 dB.更多还原