論文

査読有り 招待有り
2020年5月

Spatial Active Noise Control Based on Kernel Interpolation with Directional Weighting

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
  • Hayato Ito
  • ,
  • Shoichi Koyama
  • ,
  • Natsuki Ueno
  • ,
  • Hiroshi Saruwatari

2020-May
開始ページ
8404
終了ページ
8408
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICASSP40776.2020.9053416

© 2020 IEEE. A spatial active noise control (ANC) method taking prior information on the approximate direction of primary noise sources into consideration is proposed. ANC aims to cancel incoming primary noise using secondary loudspeakers. Conventional multipoint ANC does not guarantee the reduction of noise between multiple discrete control points; therefore, several attempts have been made to reduce the noise over an entire target region, i.e., by spatial ANC. We have recently proposed a spatial ANC method based on kernel ridge regression for sound field interpolation using distributed microphones and loudspeakers, where the cost function is formulated on the basis of the regional power obtained by kernel interpolation. In this study, we incorporate prior knowledge on the noise source direction into spatial ANC based on the kernel interpolation with directional weighting. Numerical simulation results indicate that the proposed method can achieve larger regional noise reduction than the methods without the information on noise source direction.

リンク情報
DOI
https://doi.org/10.1109/ICASSP40776.2020.9053416
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089239215&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85089239215&origin=inward
ID情報
  • DOI : 10.1109/ICASSP40776.2020.9053416
  • ISSN : 1520-6149
  • SCOPUS ID : 85089239215

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