Abstract
Environmental noise has become a major problem in large urban cities, raising concerns on mental and physical human health. However, current noise-monitoring techniques may not capture the intermittent annoying variations in the acoustic field due to very loud nonstationary noise sources such as banging from construction sites or traffic noise from moving vehicles. We propose a dynamic tomographic imaging approach for large-region acoustic mapping of nonstationary noise sources using the far-field delay-and-sum beamforming output power of prepositioned microphone arrays as tomographic measurements. We formulate the dynamic tomographic image formation under the linear state-space model, in which we recursively estimate the unknown acoustic field via a Kalman filter given the measurements. Preliminary dynamic acoustic mapping experiments with two fixed eight-channel circular microphone arrays demonstrate that with this new tomographic approach, it becomes possible to effectively characterize individual nonstationary acoustic noise sources on 2-D consecutive frame-by-frame noise-maps, offering an alternative advanced environmental noise-monitoring solution.
| Original language | English (US) |
|---|---|
| Pages | 2838-2846 |
| Number of pages | 9 |
| State | Published - Aug 21 2016 |
| Event | 45th International Congress and Exposition on Noise Control Engineering: Towards a Quieter Future, INTER-NOISE 2016 - Hamburg, Germany Duration: Aug 21 2016 → Aug 24 2016 |
Other
| Other | 45th International Congress and Exposition on Noise Control Engineering: Towards a Quieter Future, INTER-NOISE 2016 |
|---|---|
| Country | Germany |
| City | Hamburg |
| Period | 8/21/16 → 8/24/16 |
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Keywords
- Acoustic imaging
- Microphone-array processing
- Noise-mapping
ASJC Scopus subject areas
- Acoustics and Ultrasonics
Cite this
Large-region dynamic tomographic mapping of environmental noise sources with microphone arrays. / Tuna, Cagdas; Zhao, Shengkui; Nguyen, Thi Ngoc Tho; Jones, Douglas L.
2016. 2838-2846 Paper presented at 45th International Congress and Exposition on Noise Control Engineering: Towards a Quieter Future, INTER-NOISE 2016, Hamburg, Germany.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - Large-region dynamic tomographic mapping of environmental noise sources with microphone arrays
AU - Tuna, Cagdas
AU - Zhao, Shengkui
AU - Nguyen, Thi Ngoc Tho
AU - Jones, Douglas L
PY - 2016/8/21
Y1 - 2016/8/21
N2 - Environmental noise has become a major problem in large urban cities, raising concerns on mental and physical human health. However, current noise-monitoring techniques may not capture the intermittent annoying variations in the acoustic field due to very loud nonstationary noise sources such as banging from construction sites or traffic noise from moving vehicles. We propose a dynamic tomographic imaging approach for large-region acoustic mapping of nonstationary noise sources using the far-field delay-and-sum beamforming output power of prepositioned microphone arrays as tomographic measurements. We formulate the dynamic tomographic image formation under the linear state-space model, in which we recursively estimate the unknown acoustic field via a Kalman filter given the measurements. Preliminary dynamic acoustic mapping experiments with two fixed eight-channel circular microphone arrays demonstrate that with this new tomographic approach, it becomes possible to effectively characterize individual nonstationary acoustic noise sources on 2-D consecutive frame-by-frame noise-maps, offering an alternative advanced environmental noise-monitoring solution.
AB - Environmental noise has become a major problem in large urban cities, raising concerns on mental and physical human health. However, current noise-monitoring techniques may not capture the intermittent annoying variations in the acoustic field due to very loud nonstationary noise sources such as banging from construction sites or traffic noise from moving vehicles. We propose a dynamic tomographic imaging approach for large-region acoustic mapping of nonstationary noise sources using the far-field delay-and-sum beamforming output power of prepositioned microphone arrays as tomographic measurements. We formulate the dynamic tomographic image formation under the linear state-space model, in which we recursively estimate the unknown acoustic field via a Kalman filter given the measurements. Preliminary dynamic acoustic mapping experiments with two fixed eight-channel circular microphone arrays demonstrate that with this new tomographic approach, it becomes possible to effectively characterize individual nonstationary acoustic noise sources on 2-D consecutive frame-by-frame noise-maps, offering an alternative advanced environmental noise-monitoring solution.
KW - Acoustic imaging
KW - Microphone-array processing
KW - Noise-mapping
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M3 - Paper
AN - SCOPUS:84994618671
SP - 2838
EP - 2846
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