论文标题
基于单个内核插值的空间主动噪声控制
Spatial active noise control based on individual kernel interpolation of primary and secondary sound fields
论文作者
论文摘要
提出了基于基本和次级声场单个内核插值的空间主动噪声控制（ANC）方法。空间ANC旨在通过使用多个次要来源和麦克风来消除连续区域内不需要的原发性噪声。一种基于声场的内插插插的方法使得可以使用灵活的阵列几何形状在目标区域上衰减噪声。此外，通过将内核函数与定向加权使用，可以考虑主噪声源方向的先验信息。但是，尽管要插值的声场是主要和次级声场的叠加，但在先前工作中，将主噪声源的定向重量应用于总声场。因此，性能的提高是有限的。我们提出了一种单独插值的方法，并基于这种插值方法制定了归一化的最小平方算法。实验结果表明，所提出的方法优于基于总核插值的方法。
A spatial active noise control (ANC) method based on the individual kernel interpolation of primary and secondary sound fields is proposed. Spatial ANC is aimed at cancelling unwanted primary noise within a continuous region by using multiple secondary sources and microphones. A method based on the kernel interpolation of a sound field makes it possible to attenuate noise over the target region with flexible array geometry. Furthermore, by using the kernel function with directional weighting, prior information on primary noise source directions can be taken into consideration. However, whereas the sound field to be interpolated is a superposition of primary and secondary sound fields, the directional weight for the primary noise source was applied to the total sound field in previous work; therefore, the performance improvement was limited. We propose a method of individually interpolating the primary and secondary sound fields and formulate a normalized least-mean-square algorithm based on this interpolation method. Experimental results indicate that the proposed method outperforms the method based on total kernel interpolation.
