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A spatial active noise control (ANC) method based on the interpolation of asound field from reference microphone signals is proposed. In most currentspatial ANC methods, a sufficient number of error microphones are required toreduce noise over the target region because the sound field is estimated fromerror microphone signals. However, in practical applications, it is preferablethat the number of error microphones is as small as possible to keep a space inthe target region for ANC users. We propose to interpolate the sound field fromreference microphones, which are normally placed outside the target region,instead of the error microphones. We derive a fixed filter for spatial noisereduction on the basis of the kernel ridge regression for sound fieldinterpolation. Furthermore, to compensate for estimation errors, we combine theproposed fixed filter with multichannel ANC based on a transition of thecontrol filter using the error microphone signals. Numerical experimentalresults indicate that regional noise can be sufficiently reduced by theproposed methods even when the number of error microphones is particularlysmall.

Spatial Active Noise Control Method Based On Sound Field Interpolation From Reference Microphone Signals