Issue |
Acta Acust.
Volume 5, 2021
|
|
---|---|---|
Article Number | 50 | |
Number of page(s) | 14 | |
Section | Audio Signal Processing and Transducers | |
DOI | https://doi.org/10.1051/aacus/2021044 | |
Published online | 19 November 2021 |
Scientific Article
Power-based application of frequency-averaged 𝓁1-norm regularisation technique for the synthesis of accelerating indoor tyre pass-by noise
1
Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, United Kingdom
2
Siemens Digital Industries Software, 3001 Leuven, Belgium
3
Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300 B, 3001 Leuven, Belgium
* Corresponding author: thanasispapaioan@gmail.com
Received:
10
May
2021
Accepted:
23
October
2021
Pass-by noise contribution analysis is an engineering procedure employed to estimate the contributions from various noise sources on a vehicle to the overall sound pressure level. This can be realised by placing a set of microphones close to the various sources to estimate their source strengths and then synthesising the response at a far-field linear array in the presence of the remaining sources. The results described in this paper rely on measured near-field pressure data close to the tyres of an electric vehicle under accelerating conditions. The number and position of the estimated virtual source strengths used is a compromise between complexity and accuracy, which has previously been addressed mostly empirically. A power-based, frequency-averaged 𝓁1-norm regularisation technique is investigated to optimise the equivalent source position and strength for one operating tyre and, subsequently, the far-field pass-by noise pressure estimates. It is shown that for the tyre under investigation, optimising the positions of only two equivalent sources over the frequency range of interest gives a good representation of the measured far-field spectra.
Key words: Inverse method / Pass-by noise / Tyre noise / Regularisation / Joint sparsity
© A. Papaioannou et al., Published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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