Dr Carlos Ramos Romero C.A.RamosRomero@salford.ac.uk
Postdoctoral Research Fellow Acoustics
Dr Carlos Ramos Romero C.A.RamosRomero@salford.ac.uk
Postdoctoral Research Fellow Acoustics
Nathan Green
César Asensio
Prof Antonio Torija Martinez A.J.TorijaMartinez@salford.ac.uk
Professor
With the imminent introduction of multi-rotor aircraft systems
in airspace and the expectation of their operation
near urban areas, noise emissions from this new type of
noise sources have become an important research topic,
mainly because they have been reported to be more annoying
than other conventional urban noise sources(e.g.,
road vehicles) at the same loudness level.
Specific techniques for adequately measuring sound produced
by small Unmanned Aircraft Systems (sUAS) are
currently being developed by international standardisation
organisations, aviation agencies, and research institutions.
All of these efforts are intended to be relevant in establishing
common measurement protocols between environmental
policymakers, stakeholders, drone companies, and
academia.
This paper presents a multichannel on-field methodology
for the characterisation of sUAS noise. In addition
to the measurement procedure, the methodology covers
the back-propagation techniques applied in the analysis
of each microphone recording, and preliminary results,
which include acoustic metrics (LAmax, LAeq and LAE),
directivity plots, and noise hemispheres during flyovers,
presented in both the time and frequency domains.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Forum Acusticum 2023 |
Acceptance Date | Aug 7, 2023 |
Online Publication Date | Oct 11, 2023 |
Publication Date | Sep 11, 2023 |
Deposit Date | Oct 25, 2023 |
Publicly Available Date | Oct 30, 2023 |
Journal | Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023 |
DOI | https://doi.org/10.61782/fa.2023.0248 |
Publisher URL | https://appfa2023.silsystem.solutions/index.php |
Published Version
(22.7 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems
(2023)
Journal Article
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