Analysis of Multichannel Virtual Sensing Active Noise Control to Overcome Spatial Correlation and Causality Constraints

Dong-Yuan Shi; Bhan Lam; Woon-Seng Gan

ICASSP 2019accepted0 citations

Analysis of Multichannel Virtual Sensing Active Noise Control to Overcome Spatial Correlation and Causality Constraints

Abstract

This paper revisits the virtual sensing active noise control (VS-ANC) technique and extends it to a general multichannel ANC (MCANC) implementation. A frequency domain analysis shows that the multichannel virtual sensing ANC (VS-MCANC) technique arrives at an optimal control filter to cancel the noise disturbance at the virtual locations and overcomes the spatial correlation and causality constraints between the physical microphone and the virtual microphone. A real-time control of broadband noise with a 4-channel VS-MCANC implemented in a test chamber validates its theoretical analysis and demonstrates its active control effectiveness.

BibTeX

@inproceedings{icassp2019_analysisofmultic,
  title = {Analysis of Multichannel Virtual Sensing Active Noise Control to Overcome Spatial Correlation and Causality Constraints},
  author = {Dong-Yuan Shi and Bhan Lam and Woon-Seng Gan},
  booktitle = {ICASSP 2019},
  year = {2019}
}