Robust reconstruction of scattering surfaces using a linear microphone array. (3rd March 2021)
- Record Type:
- Journal Article
- Title:
- Robust reconstruction of scattering surfaces using a linear microphone array. (3rd March 2021)
- Main Title:
- Robust reconstruction of scattering surfaces using a linear microphone array
- Authors:
- Dolcetti, G.
Alkmim, M.
Cuenca, J.
De Ryck, L.
Krynkin, A. - Abstract:
- Highlights: The shape of a 2D rigid surface is reconstructed from the scattered sound field. Uncertainties are assessed numerically and experimentally for the first time. Previous approaches are biased at low frequency and unreliable at high frequency. A new approach based on broadband data combines accuracy and robustness. Abstract: The analysis of sound scattered by a rough surface and measured by multiple microphones positioned in the far field yields an estimate of the unknown scattering surface profile. Expanding from previous work, the approach used in this paper is based on an expansion and linearization of the Kirchhoff integral equation, and applies to a low density of receivers. Here, the original algorithm is modified in order to reduce the measurement bias, and extended to broadband signals to over-constrain the problem and improve its robustness. The improved method is rigorously assessed alongside the original algorithm and its small perturbation version, for a two-dimensional geometry and for scattering surfaces with a spatial power-function spectrum. The impact of the measurement setup and surface characteristics on the reconstruction uncertainty are evaluated by means of numerical simulations. Additional experimental data obtained for three known surface profiles reveal the impact of noise and measurement uncertainties. The optimal measurement configuration requires a trade-off between resolution (higher at high frequencies), and robustness (higher at lowHighlights: The shape of a 2D rigid surface is reconstructed from the scattered sound field. Uncertainties are assessed numerically and experimentally for the first time. Previous approaches are biased at low frequency and unreliable at high frequency. A new approach based on broadband data combines accuracy and robustness. Abstract: The analysis of sound scattered by a rough surface and measured by multiple microphones positioned in the far field yields an estimate of the unknown scattering surface profile. Expanding from previous work, the approach used in this paper is based on an expansion and linearization of the Kirchhoff integral equation, and applies to a low density of receivers. Here, the original algorithm is modified in order to reduce the measurement bias, and extended to broadband signals to over-constrain the problem and improve its robustness. The improved method is rigorously assessed alongside the original algorithm and its small perturbation version, for a two-dimensional geometry and for scattering surfaces with a spatial power-function spectrum. The impact of the measurement setup and surface characteristics on the reconstruction uncertainty are evaluated by means of numerical simulations. Additional experimental data obtained for three known surface profiles reveal the impact of noise and measurement uncertainties. The optimal measurement configuration requires a trade-off between resolution (higher at high frequencies), and robustness (higher at low frequencies). This limit is overcome at least partially by the proposed multiple-frequency extension. The resulting measured uncertainties were close to the theoretical expectation of approximately 2% of the acoustic wavelength. … (more)
- Is Part Of:
- Journal of sound and vibration. Volume 494(2021)
- Journal:
- Journal of sound and vibration
- Issue:
- Volume 494(2021)
- Issue Display:
- Volume 494, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 494
- Issue:
- 2021
- Issue Sort Value:
- 2021-0494-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-03
- Subjects:
- Scattering -- Surface inversion -- Microphone array
Sound -- Periodicals
Vibration -- Periodicals
Son -- Périodiques
Vibration -- Périodiques
Sound
Vibration
Periodicals
Electronic journals
620.205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0022460X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jsv.2020.115902 ↗
- Languages:
- English
- ISSNs:
- 0022-460X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5065.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25567.xml