Generalized inverse beamforming with optimized regularization strategy

Zavala, Paulo Alexandre Galarce; Roeck, Wim De; Janssens, Karl; Arruda, José Roberto de França; Sas, Paul; Desmet, Wim

doi:10.1016/j.ymssp.2010.09.012

Cited by 35 publications

(22 citation statements)

References 8 publications

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“…The pseudo-inverse approach provides an L 2 solution of the inverse problem. The L 1 generalized inverse beamforming proposed by Suzuki [21] and developed by Zavala et al [22,23] could also be used, to provide more sparsity in the resulting source distribution, if needed. In this work, monopole sources are used, but the method can be extended to other source types, such as dipoles.…”

Section: Introductionmentioning

confidence: 99%

Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array

Pignier

O’Reilly

Boij

2017

Journal of Sound and Vibration

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PostprintThis is the accepted version of a paper published in Journal of Sound and Vibration. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.Citation for the original published paper (version of record):Pignier, N., O'Reilly, C J., Boij, S. (2017) Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array. Journal of Sound and Vibration AbstractAn application of phased array methods to numerical data is presented, aimed at identifying equivalent flow sound sources from aeroacoustic simulations. Based on phased array data extracted from compressible flow simulations, sound source strengths are computed on a set of points in the source region using phased array techniques assuming monopole propagation. Two phased array techniques are used to compute the source strengths: an approach using a Moore-Penrose pseudo-inverse and a beamforming approach using dual linear programming (dual-LP) deconvolution. The first approach gives a model of correlated sources for the acoustic field generated from the flow expressed in a matrix of cross-and auto-power spectral values, whereas the second approach results in a model of uncorrelated sources expressed in a vector of auto-power spectral values. The accuracy of the equivalent source model is estimated by computing the acoustic spectrum at a far-field observer. The approach is tested first on an analytical case with known point sources. It is then applied to the example of the flow around a submerged air inlet. The far-field spectra obtained from the source models for two different flow conditions are in good agreement with the spectra obtained with a Ffowcs Williams-Hawkings integral, showing the accuracy of the source model from the observer's standpoint. Various configurations for the phased array and for the sources are used. The dual-LP beamforming approach shows better robustness to changes in the number of probes and sources than the pseudo-inverse approach. The good results obtained with this simulation case demonstrate the potential of the phased array approach as a modelling tool for aeroacoustic simulations.

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Section: Introductionmentioning

confidence: 99%

Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array

Pignier

O’Reilly

Boij

2017

Journal of Sound and Vibration

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“…Powerful experimental tools for acoustic imaging are able to give a quick overview of the radiation patterns of complex devices. Beamforming [1][2][3][4][5][6] and Near-field Acoustical Holography (NAH) [7][8][9][10] are popular methods dedicated to the aforementioned issue. These approaches are based on pressure measurements obtained from an array of microphones.…”

Section: Introductionmentioning

confidence: 99%

Estimation of multiple sound sources with data and model uncertainties using the EM and evidential EM algorithms

Wang¹,

Quost²,

Chazot³

et al. 2016

Mechanical Systems and Signal Processing

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“…[11]). Therein, the beam is formed by using an array at the transmitter, but the array processing is done at the receiver.…”

Section: Introductionmentioning

confidence: 99%

Inverse Beamforming for Radio Tomography

Martin

2015

IEEE Signal Process. Lett.

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Radio tomography is a method for imaging a small scene by measuring the attenuation by objects of all links in a dense wireless sensor network. Multipath reduces the amount of attenuation a user induces on the links, corrupting the image. This paper introduces a beamforming method that does not induce latency in the image frame rate yet allows beamforming using transmit and receive weights on every link. Simulations demonstrate that the beamformer can successfully mitigate multipath, restoring the image to a nearly multipath-free quality.Index Terms-Inverse beamforming, MIMO, radio tomography, received signal strength.

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Generalized inverse beamforming with optimized regularization strategy

Cited by 35 publications

References 8 publications

Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array

Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array

Estimation of multiple sound sources with data and model uncertainties using the EM and evidential EM algorithms

Inverse Beamforming for Radio Tomography

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