Details
| Original language | English |
|---|---|
| Pages (from-to) | 247-256 |
| Number of pages | 10 |
| Journal | Noise Control Engineering Journal |
| Volume | 68 |
| Issue number | 4 |
| Publication status | Published - 1 Jul 2020 |
Abstract
This article presents an adaptive control system for active local reduction of broadband noise at moving locations, using the camera tracking for path model decomposition to reduce the filter lengths. To enable a dynamic placement of local quiet zones with respect to a moving target, previous works proposed the combination of the remote microphone technique with a camera-based target tracking. The estimated 3-D coordinates are used at run time for a dynamic update of the transfer paths models, which correspond to virtual microphones at predetermined locations. Nevertheless, whereas current applications like headrests feature only short distances to the target, the considered ANC system aims at larger ranges for the moving quiet zone, resulting in long impulse responses and high delays in the transfer paths. To reduce the associated model lengths, this work evaluates a decomposed identification stage that takes advantage of the camera-tracking system by estimating the acoustic path delays optically. In experiments, this method is shown to be superior to signal processing-based approaches like cross-correlation and thus enables an accurate separation of the delays. Eventually, the validation of the broadband ANC performance at a moving microphone shows that the quiet zone could be tracked over a range of 0.8 m, while using only few transfer path models and saving over 100 coefficients due to the proposed decomposition.
ASJC Scopus subject areas
- Engineering(all)
- Building and Construction
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- Automotive Engineering
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- Aerospace Engineering
- Physics and Astronomy(all)
- Acoustics and Ultrasonics
- Engineering(all)
- Mechanical Engineering
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- Public Health, Environmental and Occupational Health
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- Industrial and Manufacturing Engineering
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In: Noise Control Engineering Journal, Vol. 68, No. 4, 01.07.2020, p. 247-256.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Model decomposition via optical delay estimation using the camera tracking in an active noise control system for creation of a movable quiet zone
AU - Höber, Sven
AU - Pape, Christian
AU - Reithmeier, Eduard
PY - 2020/7/1
Y1 - 2020/7/1
N2 - This article presents an adaptive control system for active local reduction of broadband noise at moving locations, using the camera tracking for path model decomposition to reduce the filter lengths. To enable a dynamic placement of local quiet zones with respect to a moving target, previous works proposed the combination of the remote microphone technique with a camera-based target tracking. The estimated 3-D coordinates are used at run time for a dynamic update of the transfer paths models, which correspond to virtual microphones at predetermined locations. Nevertheless, whereas current applications like headrests feature only short distances to the target, the considered ANC system aims at larger ranges for the moving quiet zone, resulting in long impulse responses and high delays in the transfer paths. To reduce the associated model lengths, this work evaluates a decomposed identification stage that takes advantage of the camera-tracking system by estimating the acoustic path delays optically. In experiments, this method is shown to be superior to signal processing-based approaches like cross-correlation and thus enables an accurate separation of the delays. Eventually, the validation of the broadband ANC performance at a moving microphone shows that the quiet zone could be tracked over a range of 0.8 m, while using only few transfer path models and saving over 100 coefficients due to the proposed decomposition.
AB - This article presents an adaptive control system for active local reduction of broadband noise at moving locations, using the camera tracking for path model decomposition to reduce the filter lengths. To enable a dynamic placement of local quiet zones with respect to a moving target, previous works proposed the combination of the remote microphone technique with a camera-based target tracking. The estimated 3-D coordinates are used at run time for a dynamic update of the transfer paths models, which correspond to virtual microphones at predetermined locations. Nevertheless, whereas current applications like headrests feature only short distances to the target, the considered ANC system aims at larger ranges for the moving quiet zone, resulting in long impulse responses and high delays in the transfer paths. To reduce the associated model lengths, this work evaluates a decomposed identification stage that takes advantage of the camera-tracking system by estimating the acoustic path delays optically. In experiments, this method is shown to be superior to signal processing-based approaches like cross-correlation and thus enables an accurate separation of the delays. Eventually, the validation of the broadband ANC performance at a moving microphone shows that the quiet zone could be tracked over a range of 0.8 m, while using only few transfer path models and saving over 100 coefficients due to the proposed decomposition.
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U2 - 10.3397/1/376821
DO - 10.3397/1/376821
M3 - Article
AN - SCOPUS:85091034880
VL - 68
SP - 247
EP - 256
JO - Noise Control Engineering Journal
JF - Noise Control Engineering Journal
SN - 0736-2501
IS - 4
ER -