Feedforward Spatial Active Noise Control Based on Kernel Interpolation of Sound Field
Hayato Ito, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari
Abstract
A method for feedforward active noise control (ANC) over a spatial region is proposed. Conventional multipoint ANC aims to reduce the noise at multiple discrete positions; therefore, the noise reduction in the region between these points cannot be guaranteed. Recent studies revealed the possibility of spatial ANC, i.e., noise control in a continuous target region. These methods are essentially based on spherical/circular harmonic decomposition of the sound field by using spherical/circular arrays and have mainly been investigated for feedback control under the assumption of periodicity of the noise. We apply a sound field interpolation method based on kernel ridge regression to feedforward spatial ANC to control spatial nonstationary noise using distributed arrays. Numerical simulation results indicated that a large regional noise reduction is achieved by the proposed method compared with feedforward multipoint ANC.
BibTeX
@inproceedings{icassp2019_feedforwardspati,
title = {Feedforward Spatial Active Noise Control Based on Kernel Interpolation of Sound Field},
author = {Hayato Ito and Shoichi Koyama and Natsuki Ueno and Hiroshi Saruwatari},
booktitle = {ICASSP 2019},
year = {2019}
}