Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering |
| Editors | Tyler Dare, Stuart Bolton, Patricia Davies, Yutong Xue, Gordon Ebbitt |
| Pages | 4717-4723 |
| Number of pages | 7 |
| ISBN (electronic) | 9781732598652 |
| Publication status | Published - 1 Aug 2021 |
| Event | 50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021 - Washington, United States Duration: 1 Aug 2021 → 5 Aug 2021 |
Publication series
| Name | Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering |
|---|---|
| ISSN (Print) | 0736-2935 |
Abstract
Active noise cancellation (ANC) headphones are becoming increasingly popular as they can effectively attenuate perceived ambient noise. Fixed filters are commonly applied in commercially available ANC headphones due to their robustness. However, they are not capable of adapting to changes that occur in dynamic environments, resulting in degraded ANC performance. In contrast, adaptive filters are able to update the ANC filters to compensate for noise in dynamic environments, but large estimation errors can occur due to a sudden change in the type of noise or secondary path. Some studies have suggested an ANC structure by combining fixed and adaptive filters. Based on this, we propose a semi-adaptive ANC system in which the fixed and adaptive filters are weighted in real-time. Initially, the weighting for the fixed filter dominates the whole system to ensure the robustness of the ANC system. Then, the residual error provided by the adaptive filter is simulated and compared to the real measured one to determine the relative weighting between the fixed and adaptive filters. In this study, this approach is applied to a feedback ANC system. Simulation results show that our proposed approach achieves high noise attenuation performance while maintaining robustness with time-varying secondary paths.
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Acoustics and Ultrasonics
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Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering. ed. / Tyler Dare; Stuart Bolton; Patricia Davies; Yutong Xue; Gordon Ebbitt. 2021. p. 4717-4723 (Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Semi-adaptive active noise cancellation headphones
AU - Li, Song
AU - Schlieper, Roman
AU - Peissig, Jürgen
N1 - Funding Information: This work is supported by Huawei Innovation Research Program project (HIRP FLAGSHIP).
PY - 2021/8/1
Y1 - 2021/8/1
N2 - Active noise cancellation (ANC) headphones are becoming increasingly popular as they can effectively attenuate perceived ambient noise. Fixed filters are commonly applied in commercially available ANC headphones due to their robustness. However, they are not capable of adapting to changes that occur in dynamic environments, resulting in degraded ANC performance. In contrast, adaptive filters are able to update the ANC filters to compensate for noise in dynamic environments, but large estimation errors can occur due to a sudden change in the type of noise or secondary path. Some studies have suggested an ANC structure by combining fixed and adaptive filters. Based on this, we propose a semi-adaptive ANC system in which the fixed and adaptive filters are weighted in real-time. Initially, the weighting for the fixed filter dominates the whole system to ensure the robustness of the ANC system. Then, the residual error provided by the adaptive filter is simulated and compared to the real measured one to determine the relative weighting between the fixed and adaptive filters. In this study, this approach is applied to a feedback ANC system. Simulation results show that our proposed approach achieves high noise attenuation performance while maintaining robustness with time-varying secondary paths.
AB - Active noise cancellation (ANC) headphones are becoming increasingly popular as they can effectively attenuate perceived ambient noise. Fixed filters are commonly applied in commercially available ANC headphones due to their robustness. However, they are not capable of adapting to changes that occur in dynamic environments, resulting in degraded ANC performance. In contrast, adaptive filters are able to update the ANC filters to compensate for noise in dynamic environments, but large estimation errors can occur due to a sudden change in the type of noise or secondary path. Some studies have suggested an ANC structure by combining fixed and adaptive filters. Based on this, we propose a semi-adaptive ANC system in which the fixed and adaptive filters are weighted in real-time. Initially, the weighting for the fixed filter dominates the whole system to ensure the robustness of the ANC system. Then, the residual error provided by the adaptive filter is simulated and compared to the real measured one to determine the relative weighting between the fixed and adaptive filters. In this study, this approach is applied to a feedback ANC system. Simulation results show that our proposed approach achieves high noise attenuation performance while maintaining robustness with time-varying secondary paths.
UR - http://www.scopus.com/inward/record.url?scp=85117383988&partnerID=8YFLogxK
U2 - 10.3397/IN-2021-2808
DO - 10.3397/IN-2021-2808
M3 - Conference contribution
AN - SCOPUS:85117383988
T3 - Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering
SP - 4717
EP - 4723
BT - Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering
A2 - Dare, Tyler
A2 - Bolton, Stuart
A2 - Davies, Patricia
A2 - Xue, Yutong
A2 - Ebbitt, Gordon
T2 - 50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021
Y2 - 1 August 2021 through 5 August 2021
ER -