李楠,安峰岩,杨飞然,杨军.一种用于主动降噪耳机的权重滤波误差信号滤波-x最小均方算法*[J].,2018,37(3):391-399 |
一种用于主动降噪耳机的权重滤波误差信号滤波-x最小均方算法* |
A weighted-error-FxLMS algorithm for active noise control headphone |
投稿时间:2017-05-22 修订日期:2018-04-19 |
中文摘要: |
针对传统FxLMS算法前馈自适应主动降噪耳机系统因果性条件不足时在宽带噪声环境中产生的高频噪声抬升问题,本文引入权重滤波误差信号FxLMS算法用于抑制高频噪声的抬升,但该算法带来了低频降噪量不足问题。因此,进一步提出将固定系数混合控制器与权重滤波误差信号FxLMS算法结合,在解决高频噪声抬升问题的同时,保证了良好的低频降噪量。基于DSP平台实现了提出的主动降噪耳机方案。实验证明,该方案针对宽带和单频等噪声都取得了较好的降噪效果。 |
英文摘要: |
It is commonly observed that conventional feedforward FxLMS algorithm in headphone ANC systems will boost the high-frequency noise in the wide-band noise environment when the causality condition is not satisfied. To deal with this problem, we present a weighted-error-FxLMS algorithm to attenuate the high-frequency noise. However, the new algorithm achieves a degraded low-frequency noise reduction. To achieve a better noise reduction performance, we combine the weighted-error-FxLMS feedforward adaptive filter with a hybrid fixed-coefficient controller. The proposed ANC headphone system is implemented in a DSP platform. Experiments show that the system achieves improved noise reduction performance for both the broad-band noise and single-frequency noise environment. |
DOI:10.11684/j.issn.1000-310X.2018.03.012 |
中文关键词: 数字主动降噪耳机 权重滤波误差信号FxLMS算法 混合控制 |
英文关键词: digital active noise control headphone, weighted-error-FxLMS algorithm, hybrid control, |
基金项目:国家自然科学基金项目(11404367,61501449,11474306),中国青年科学基金项目(A040506),中国科学院声学研究所青年英才计划项目(Y754151121),2016年湖北省省院合作专项 |
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