Analysis of nonminimum phase components of noise control filters in active noise control

In the active noise control (ANC), it is known that the optimal filter becomes a noncausal filter due to the effect of the nonminimum phase components of the secondary path. We have investigated how to make the causal optimal filter by replacing the nonminimum phase components with the frequency components of the primary path. Through the computer simulations, we have confirmed that this filter maintained some noise reduction performance and can be used as a quasi-optimal filter. In this paper, as another approach, we attempt to identify noncausal components using the pre-trained adaptive noise control filter. The nonminimum phase components of the secondary path exist in the frequency band below the lowest resonance frequency of the secondary loudspeaker. Based on this fact, we design a noise control filter by using band-limited white noise only with the low frequency components below the lowest resonance frequency in advance. Then, we design another adaptive noise control filter by using the band-limited white noise with high frequency components above the lowest resonance frequency. Finally, we combine these filters in the frequency domain. Through the computer simulations, we show the difficulty to handle the nonminimum phase components in the ANC system.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_3471
Primary Topic
Control Systems and Identification
Type
article
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article

Analysis of nonminimum phase components of noise control filters in active noise control

Takanobu Nishiura, Yoshiharu Soeta, Kenta Iwai, Minoru Mizutani
NOISE-CON proceedings
Control Systems and Identification
article

Analysis of nonminimum phase components of noise control filters in active noise control

Takanobu Nishiura, Yoshiharu Soeta, Kenta Iwai, Minoru Mizutani
article en

Abstract

In the active noise control (ANC), it is known that the optimal filter becomes a noncausal filter due to the effect of the nonminimum phase components of the secondary path. We have investigated how to make the causal optimal filter by replacing the nonminimum phase components with the frequency components of the primary path. Through the computer simulations, we have confirmed that this filter maintained some noise reduction performance and can be used as a quasi-optimal filter. In this paper, as another approach, we attempt to identify noncausal components using the pre-trained adaptive noise control filter. The nonminimum phase components of the secondary path exist in the frequency band below the lowest resonance frequency of the secondary loudspeaker. Based on this fact, we design a noise control filter by using band-limited white noise only with the low frequency components below the lowest resonance frequency in advance. Then, we design another adaptive noise control filter by using the band-limited white noise with high frequency components above the lowest resonance frequency. Finally, we combine these filters in the frequency domain. Through the computer simulations, we show the difficulty to handle the nonminimum phase components in the ANC system.

NOISE-CON proceedingsVol. 270(7)
Ritsumeikan University (JP), National Institute of Advanced Industrial Science and Technology (JP)
Affordable and clean energy
Openalex Percentile: Top 79%
Control Systems and Identification
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Analysis of nonminimum phase components of noise control filters in active noise control — Takanobu Nishiura, Yoshiharu Soeta, et al. · NOISE-CON proceedings (2024) | TGRS Research Map | TGRS