Spatially sparse sound source localization in an under-determined system by using a hybrid compressive sensing method
Near-field Acoustical Holography is a powerful tool for sound source identification and sound field reconstruction. Generally, many microphone measurements are required to construct a source model that can span the whole sound source region while simultaneously avoiding measurement errors and ensuring a high spatial sampling rate. That type of measurement is economically costly and hard to perform in industrial environments. Motivated by the desire to be able to use a relatively small number of microphone measurements to reconstruct a sound field and to accurately identify sound source locations, an Equivalent Source Method (ESM) is considered here. In particular, the focus is on the combination of a monopole-distribution ESM and a relatively small number of microphone measurements, thus creating an under-determined system. Wideband Acoustical Holography and l1-norm Convex Optimization are introduced to solve this under-determined inverse problem. Based on the attributes of these two methods, a hybrid method combining the best features of each is proposed to identify sound source locations.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:146 |
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| Enthalten in: |
The Journal of the Acoustical Society of America - 146(2019), 2 vom: 15. Aug., Seite 1219 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shi, Tongyang [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 23.09.2019 published: Print Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1121/1.5122312 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM300818866 |
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| 520 | |a Near-field Acoustical Holography is a powerful tool for sound source identification and sound field reconstruction. Generally, many microphone measurements are required to construct a source model that can span the whole sound source region while simultaneously avoiding measurement errors and ensuring a high spatial sampling rate. That type of measurement is economically costly and hard to perform in industrial environments. Motivated by the desire to be able to use a relatively small number of microphone measurements to reconstruct a sound field and to accurately identify sound source locations, an Equivalent Source Method (ESM) is considered here. In particular, the focus is on the combination of a monopole-distribution ESM and a relatively small number of microphone measurements, thus creating an under-determined system. Wideband Acoustical Holography and l1-norm Convex Optimization are introduced to solve this under-determined inverse problem. Based on the attributes of these two methods, a hybrid method combining the best features of each is proposed to identify sound source locations | ||
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