Three-dimensional acoustic imaging with planar microphone arrays and compressive sensing

Ning, Fangli; Wei, Jingang; Qiu, Lianfang; Shi, Hongbing; Li, Xiaofan

doi:10.1016/j.jsv.2016.06.009

Cited by 38 publications

(22 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The most common way to eliminate numerical oscillation is numerical filtering. In general, the order number of numerical filtering should be much higher than that of difference dispersion scheme [29][30][31]. For internal grid points, a standard 2 -order filter with 2 + 1 grid nodes are usually adopted.…”

Section: Numerical Filteringmentioning

confidence: 99%

Research on the numerical simulation of aerodynamic noises of shear flow based on linearized Euler equations

Fan¹,

Yan²

2017

J. vibroeng.

View full text Add to dashboard Cite

This paper numerically simulated the propagation of different sound sources in inhomogeneous media through solving linearized Euler equations (LEE). In space, dispersion-relation-preserving (DRP) scheme and compact difference scheme of high-order accuracy were used for dispersion. In time, Runge-Kutta (Low Dispersion and Dissipation Runge-Kutta) method with low-dispersion and low-dissipation was applied to push ahead. Nonreflecting boundary condition was adopted at the far-field boundary. In the meanwhile, numerical filtering was conducted for numerically computational results. The scattering of Gaussian pulse source around a cylinder was taken as a verification example. Numerical simulation results were compared with theoretical solutions to verify the correctness of numerical simulation method of aerodynamic noises in this paper. Numerical simulation was conducted for the sound propagation of monopole sound source in the shear layer and the sound propagation of different modes of sound sources in and out the tailpipe nozzle of engines. Numerical simulation results showed: The treatment for dispersion schemes and boundary conditions in this paper could well simulate the propagation process of aerodynamic noises in the shear layer; the shear flow would have an impact on the amplitude and propagation direction of aerodynamic noises in the flow field; for different modes of pipe sound sources, the shear layer would cause different refraction effects; the direction of sound radiation was rather centralized for the single pipe mode and dispersive for the multi-pipe mode. In addition, the dispersive-ness of sound radiation became stronger and stronger with the increased pipe modes. Namely, the directivity of sound presented to be a petal. The shear layer would reduce the dispersion effect of multi-pipe modes in the direction of sound radiation.

show abstract

Section: Numerical Filteringmentioning

confidence: 99%

Research on the numerical simulation of aerodynamic noises of shear flow based on linearized Euler equations

Fan¹,

Yan²

2017

J. vibroeng.

View full text Add to dashboard Cite

show abstract

“…Compressive beamforming, or concretely compressive sensing [1][2][3] based beamforming, is an emerging and powerful approach to realize the direction-of-arrival (DOA) estimation and strength quantification of acoustic sources. By virtue of the superiorities of small number demand for microphones, strong anti-interference, unambiguous source imaging and so on, it has recently aroused much concern [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Multiple-Snapshot Grid-Free Compressive Beamforming Using Alternating Direction Method of Multipliers

Yang

Chu

2020

Shock and Vibration

View full text Add to dashboard Cite

Compressive beamforming with planar microphone arrays is capable of estimating the two-dimensional direction-of-arrivals (DOAs) and quantifying the strengths of acoustic sources effectively. The multiple-snapshot grid-free method has recently been concerned due to the advantages that it can circumvent the basis mismatch conundrum of the conventional grid-based method and improve the performance of the single-snapshot grid-free method. The existing atomic norm minimization based strategy uses an off-the-peg interior point method (IPM) based solver to solve the positive semidefinite programming equivalent to the atomic norm minimization. We present an alternative algorithm based on alternating direction method of multipliers (ADMM) in this paper. Both simulations and experiments demonstrate that whether a standard uniform rectangular array or a non-uniform array constituted by a small number of microphones is employed, the two-dimensional multiple-snapshot grid-free compressive beamforming using our ADMM based algorithm can estimate the DOAs and quantify the strengths of acoustic sources well, and reaching the same or even better DOA estimation accuracy as the one using the IPM based solver, our ADMM based algorithm is distinctly faster.

show abstract

“…A Fourier-based deconvolution with coordinate transformation and scanning technology were combined for 3D acoustic imaging by Xenaki et al [ 22 ], which improves the normal resolution of the planar array but brings some side lobe pollutions. A compressive sensing algorithm was applied to 3D sound localization for obtaining a high-resolution source map by Ning et al [ 25 ], which can provide more accurate results than conventional beamforming. The inverse solution strategies were exploited in the study of 3D acoustic mapping using a planar array, by Battista et al [ 26 ], consisting of the equivalent source method and covariance matrix fitting method.…”

Section: Introductionmentioning

confidence: 99%

Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements

Guo

Chu

et al. 2020

Sensors

View full text Add to dashboard Cite

Beamforming technology is an essential method in acoustic imaging or reconstruction, which has been widely used in sound source localization and noise reduction. The beamforming algorithm can be described as all microphones in a plane simultaneously recording the source signal. The source position is then localized by maximizing the result of the beamformer. Evidence has shown that the accuracy of the sound source localization in a 2D plane can be improved by the non-synchronous measurements of moving the microphone array. In this paper, non-synchronous measurements are applied to 3D beamforming, in which the measurement array envelops the 3D sound source space to improve the resolution of the 3D space. The entire radiated object is covered better by a virtualized large or high-density microphone array, and the range of beamforming frequency is also expanded. The 3D imaging results are achieved in different ways: the conventional beamforming with a planar array, the non-synchronous measurements with orthogonal moving arrays, and the non-synchronous measurements with non-orthogonal moving arrays. The imaging results of the non-synchronous measurements are compared with the synchronous measurements and analyzed in detail. The number of microphones required for measurement is reduced compared with the synchronous measurement. The non-synchronous measurements with non-orthogonal moving arrays also have a good resolution in 3D source localization. The proposed approach is validated with a simulation and experiment.

show abstract

Three-dimensional acoustic imaging with planar microphone arrays and compressive sensing

Cited by 38 publications

References 63 publications

Research on the numerical simulation of aerodynamic noises of shear flow based on linearized Euler equations

Research on the numerical simulation of aerodynamic noises of shear flow based on linearized Euler equations

Two-Dimensional Multiple-Snapshot Grid-Free Compressive Beamforming Using Alternating Direction Method of Multipliers

Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements

Contact Info

Product

Resources

About