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Feedforward Spatial Active Noise Control Based on Kernel Interpolation of Sound Field

Citation Author(s):
Hayato Ito, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari
Submitted by:
Hayato Ito
Last updated:
10 May 2019 - 7:41am
Document Type:
Poster
Document Year:
2019
Event:
Presenters:
Hayato Ito
Paper Code:
AASP-P7.1
Categories:
 

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.

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