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@PHDTHESIS{Meng:730817,
author = {Meng, Fanyu},
othercontributors = {Vorländer, Michael and Jax, Peter},
title = {{M}odeling of moving sound sources based on array
measurements},
volume = {29},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Berlin},
publisher = {Logos Verlag},
reportid = {RWTH-2018-227109},
isbn = {978-3-8325-4759-2},
series = {Aachener Beiträge zur Akustik},
pages = {1 Online-Ressource (V, 131 Seiten) : Illustrationen,
Diagramme},
year = {2018},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2018},
abstract = {When auralizing moving sound sources in Virtual Reality
(VR) environments, the two main input parameters are the
location and radiated signal of the source. An array
measurement-based model is developed to characterize moving
sound sources regarding the two parameters in this thesis.
This model utilizes beamforming, i.e. delay and sum
beamforming (DSB) and compressive beamforming (CB) to obtain
the locations and signals of moving sound sources. A spiral
and a pseudorandom microphone array are designed for DSB and
CB, respectively, to yield good localization ability and
meet the requirement of CB. The de-Dopplerization technique
is incorporated in the time-domain DSB to address moving
source problems. Time-domain transfer functions (TDTFs) are
calculated in terms of the spatial locations within the
steering window of the moving source. TDTFs then form the
sensing matrix of CB, thus allowing CB to solve moving
source problem. DSB and CB are further extended to localize
moving sound sources, and the reconstructed signals from the
beamforming outputs are investigated to obtain the source
signals. Moreover, localization and signal reconstruction
are evaluated through varying parameters in the beamforming
procedures, i.e. steering position, steering window length
and source speed for a moving periodic signal using DSB, and
regularization parameter, signal to noise ratio (SNR),
steering window length, source speed, array to source motion
trajectory and mismatch for a moving engine signal using CB.
The parameter studies show guidelines of parameter selection
based on the given situations in this thesis for modeling
moving source using beamforming. Both algorithms are able to
reconstruct the moving signals in the given scenarios.
Although CB outperforms DSB in terms of signal
reconstruction under particular conditions, the localization
abilities of the two algorithms are quite similar. The
practicability of the model has been applied on pass-by
measurements of a moving loudspeaker using the designed
arrays, and the results can match the conclusions drawn
above from simulations. Finally, a framework on how to apply
the model for moving source auralization is proposed.},
cin = {613510},
ddc = {621.3},
cid = {$I:(DE-82)613510_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2018-227109},
url = {https://publications.rwth-aachen.de/record/730817},
}
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