Shin, Ban-Sok und Shutin, Dmitriy (2020) Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. 2020 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 21.-24. September 2020, Espoo, Finnland. (im Druck)
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Kurzfassung
This work proposes an iterative algorithm for distributed deconvolution of seismic signals for a reflectivity survey by a network of sensors. Distributed deconvolution is particularly relevant for a subsurface exploration by sensor networks or swarms of mobile robots. We envision such an exploration methodology by multiple mobile agents for future explorations of a planet's subsurface. The proposed scheme consists of two steps: distributed estimation of the seismic wavelet, followed by a local estimation of the reflectivity. Both steps are realized using alternating directions method of multipliers algorithms where we exploit sparsity in the reflectivity. The performance of the scheme is compared to state-of-the-art sparse multichannel blind deconvolution of seismic data and is found to be comparable or even superior.
elib-URL des Eintrags: | https://elib.dlr.de/135433/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks | ||||||||||||
Autoren: |
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Datum: | 21 September 2020 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Status: | im Druck | ||||||||||||
Stichwörter: | Blind deconvolution, distributed processing, reflection seismology, sparse recovery | ||||||||||||
Veranstaltungstitel: | 2020 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING | ||||||||||||
Veranstaltungsort: | Espoo, Finnland | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsdatum: | 21.-24. September 2020 | ||||||||||||
Veranstalter : | IEEE | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Kommunikation und Navigation | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R KN - Kommunikation und Navigation | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben GNSS2/Neue Dienste und Produkte (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nachrichtensysteme | ||||||||||||
Hinterlegt von: | Shin, Dr.-Ing. Ban-Sok | ||||||||||||
Hinterlegt am: | 28 Jul 2020 10:31 | ||||||||||||
Letzte Änderung: | 28 Jul 2020 10:31 |
Verfügbare Versionen dieses Eintrags
- Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. (deposited 28 Jul 2020 10:31) [Gegenwärtig angezeigt]
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