Holography and its application to acoustic imaging

Ahmed, M.; Wang, K.Y.; Metherell, A. F.

doi:10.1109/proc.1979.11277

Cited by 25 publications

(4 citation statements)

References 45 publications

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“…cf. also the Ultrasonic Testing Documentation of the BAM [4] and the following publications [880,937,1649,1075,1360,1363,58 (containing many earlier references), 60, 1364, 881,…”

Section: Linear Holography; Holosafi' Methodsmentioning

confidence: 99%

Ultrasonic Testing of Materials

Krautkrämer¹,

Krautkrämer²

1990

799

452

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“…cf. also the Ultrasonic Testing Documentation of the BAM [4] and the following publications [880,937,1649,1075,1360,1363,58 (containing many earlier references), 60, 1364, 881,…”

Section: Linear Holography; Holosafi' Methodsmentioning

confidence: 99%

Ultrasonic Testing of Materials

Krautkrämer¹,

Krautkrämer²

1990

799

452

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“…Acoustic holography [1,2] is an essential tool for controlling sound waves, generating highly complex and customizable sound fields, and enabling the visualization of sound fields. Due to its powerful and flexible capability of arbitrary sound beam shaping and predesigned sound field reconstruction, acoustic holography has recently received increased attention in many interdisciplinary fields related to acoustics, including medicine [3][4][5][6], engineering [7,8], and biology [9][10][11], in addition to the pure acoustic field.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Zero-Thickness Broadband Holograms Based on Acoustic Sieve Metasurfaces

Tian

Zuo

et al. 2022

Applied Sciences

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Acoustic holography is an essential tool for controlling sound waves, generating highly complex and customizable sound fields, and enabling the visualization of sound fields. Based on acoustic sieve metasurfaces (ASMs), this paper proposes a theoretical design approach for zero-thickness broadband holograms. The ASM is a zero-thickness rigid screen with a large number of small holes that allow sound waves to pass through and produce the desired real image in the target plane. The hole arrangement rules are determined using a genetic algorithm and the Rayleigh–Sommerfeld theory. Because the wave from a hole has no extra phase or amplitude modulation, the intractable modulation dispersion can be physically avoided, allowing the proposed ASM-based hologram to potentially function in any frequency band as long as the condition of paraxial approximation is satisfied. Using a numerical simulation based on the combination of the finite element method (FEM) and the boundary element method (BEM), this research achieves broadband holographic imaging with a good effect. The proposed theoretical zero-thickness broadband hologram may provide new possibilities for acoustic holography applications.

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“…The set of acquired microphone signals are then processed in order to extract the relevant information. Several methods can then be used to recover sound sources: holography [1], beamforming [2,3], and time reversal [4][5][6] among others.…”

Section: Introductionmentioning

confidence: 99%

“…= Vector of 3D-coordinates x = (x, y, z) s i = Signal of source i, kg/s 2 p m , p = Pressure at microphone m, Pa g i,m , g i = Green's function between source i and microphone m g = Concatenation of all the Green's functions g 1 , · · · , g N S for a given microphone m S = Training set S = Validation set A (q) i = Active set at iteration q relative to source i A (q) = Global active set at iteration q * = Convolution product * Ph.D. candidate, ONERA DAAA -Aerodynamics Aeroelasticity Acoustics, sofiane.bousabaa@onera.fr † Research Engineer, ONERA DAAA -Aerodynamics Aeroelasticity Acoustics, jean.bulte@onera.fr ‡ Research Engineer, ONERA DAAA -Aerodynamics Aeroelasticity Acoustics, daniel-ciprian.mincu@onera.fr § Professor, Institut Jean Le Rond d'Alembert, UPMC -Paris 6, regis.marchiano@upmc.fr ¶ Assistant Professor, Institut Jean Le Rond d'Alembert, UPMC -Paris 6, francois.ollivier@upmc.fr ⊗ = Cross-correlation product j l , y l = Spherical Bessel functions of order l h (1) l , h (…”

mentioning

confidence: 99%

Sparse Green’s Functions Estimation Using Orthogonal Matching Pursuit: Application to Aeroacoustic Beamforming

Bousabaa¹,

Bulté²,

Mincu³

et al. 2018

AIAA Journal

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The paper presents a new methodology for the numerical estimation of the Green's functions in complex external aeroacoustic configurations. Computational aeroacoustics is used to propagate multi-frequency signals from focus points to microphones. The method takes advantage of the sparsity of the Green's functions in the time-domain to minimize the simulation time. It leads to a complex sparse linear regression problem. To solve it, the Orthogonal MatchingPursuit algorithm is adapted. The method is first applied on the case of the diffraction by a rigid sphere. Results are studied both in terms of Green's function estimation and aeroacoustic beamforming. They show that the Green's functions are obtained with a good accuracy and enable to localize acoustic sources placed behind the diffracting object. The methodology is then applied on a NACA0012 2D wing in a potential flow for which the Green's function is not known analytically. The use of the reverse-flow reciprocity principle enables to reduce the complexity of the estimation problem when there are more scan points than microphones. It is shown that it is possible to take advantage of the presence of diffracting objects to improve the capability of detection of a sensor array.

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Holography and its application to acoustic imaging

Cited by 25 publications

References 45 publications

Ultrasonic Testing of Materials

Ultrasonic Testing of Materials

Theoretical Zero-Thickness Broadband Holograms Based on Acoustic Sieve Metasurfaces

Sparse Green’s Functions Estimation Using Orthogonal Matching Pursuit: Application to Aeroacoustic Beamforming

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