Goudarzi, Armin und Spehr, Carsten und Herbold, Steffen (2021) Automatic source localization and spectra generation from sparse beamforming maps. Journal of the Acoustical Society of America, 150 (3), Seiten 1866-1882. Acoustical Society of America. doi: 10.1121/10.0005885. ISSN 0001-4966.
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Offizielle URL: https://asa.scitation.org/doi/10.1121/10.0005885
Kurzfassung
Beamforming is an imaging tool for the investigation of aeroacoustic phenomena and results in high dimensional data that is broken down to spectra by integrating spatial Regions Of Interest. This paper presents two methods which enable the automated identification of aeroacoustic sources in sparse beamforming maps and the extraction of their corresponding spectra to overcome the manual definition of Regions Of Interest. The methods are evaluated on two scaled airframe half-model wind tunnel measurements. The first relies on the spatial normal distribution of aeroacoustic broadband sources in sparse beamforming maps. The second uses hierarchical clustering methods. Both methods are robust to statistical noise and predict the existence, location and spatial probability estimation for sources based on which Regions Of Interests are automatically determined.
elib-URL des Eintrags: | https://elib.dlr.de/145400/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Zusätzliche Informationen: | Online ISSN: 1520-8524, https://asa.scitation.org/toc/jas/150/3 | ||||||||||||||||
Titel: | Automatic source localization and spectra generation from sparse beamforming maps | ||||||||||||||||
Autoren: |
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Datum: | 14 September 2021 | ||||||||||||||||
Erschienen in: | Journal of the Acoustical Society of America | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 150 | ||||||||||||||||
DOI: | 10.1121/10.0005885 | ||||||||||||||||
Seitenbereich: | Seiten 1866-1882 | ||||||||||||||||
Herausgeber: |
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Verlag: | Acoustical Society of America | ||||||||||||||||
Name der Reihe: | Acoustical Society of America | ||||||||||||||||
ISSN: | 0001-4966 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | beamforming, CLEAN-SC, Machine Learning, clustering, acoustics | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Virtuelles Flugzeug und Validierung | ||||||||||||||||
Standort: | Göttingen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > Experimentelle Verfahren, GO | ||||||||||||||||
Hinterlegt von: | Micknaus, Ilka | ||||||||||||||||
Hinterlegt am: | 24 Nov 2021 21:52 | ||||||||||||||||
Letzte Änderung: | 24 Nov 2021 21:52 |
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