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Extended Version: Improving the Damas2 Results for Wavenumber-Space Beamforming

Haxter, Stefan (2016) Extended Version: Improving the Damas2 Results for Wavenumber-Space Beamforming. 6th Berlin Beamforming Conference - BeBeC2016, 2016-02-29 - 2016-03-01, Berlin, Germany.

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Official URL: http://www.bebec.eu/Downloads/BeBeC2016/Papers/BeBeC-2016-D8.pdf


When using deconvolution algorithms for the improvement of beamforming results, the family of DAMAS-algorithms has shown to be very useful. One member of this family – the DAMAS2 algorithm – comes into focus when one is concerned with computational speed and efficient memory usage. The algorithm is especially suited for wavenumber beamforming, since it requires a shift-invariant point-spread function for best results. During application of this method, it was noticed that the results can be even improved when increasing the size of the point-spread function. This further enhancement of the algorithm will be presented in examples and discussed.

Item URL in elib:https://elib.dlr.de/99695/
Document Type:Conference or Workshop Item (Speech)
Additional Information:http://www.bebec.eu
Title:Extended Version: Improving the Damas2 Results for Wavenumber-Space Beamforming
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-28
Series Name:Conference Proceedings on USB-Stick and Online
Keywords:Deconvolution, DAMAS2
Event Title:6th Berlin Beamforming Conference - BeBeC2016
Event Location:Berlin, Germany
Event Type:international Conference
Event Start Date:29 February 2016
Event End Date:1 March 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation (old)
Location: Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > Experimental Methods
Deposited By: Micknaus, Ilka
Deposited On:12 May 2016 15:47
Last Modified:24 Apr 2024 20:05

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