2022
DOI: 10.1088/1361-6501/ac5136
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Resolution enhanced statistically optimal cylindrical near-field acoustic holography based on equivalent source method

Abstract: For the sound field reconstruction of large cylindrical surfaces, statistically optimal cylindrical near-field acoustic holography (SOCNAH) has high reconstruction accuracy but low resolution. To solve this problem, resolution enhanced SOCNAH (RE-SOCNAH) based on equivalent source method (ESM) is proposed. Firstly, near-field measurements are used to acquire the complex sound pressures on the holographic surface. Secondly, with the sound field on all measurement points as boundary conditions, single-layer pote… Show more

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Cited by 3 publications
(3 citation statements)
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“…To evaluate the effects of ESDIM and ESM methods, the reconstruction error is defined as follows [1,28]:…”
Section: Simulation Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…To evaluate the effects of ESDIM and ESM methods, the reconstruction error is defined as follows [1,28]:…”
Section: Simulation Methodologymentioning
confidence: 99%
“…Near-field acoustic holography (NAH) [1][2][3][4] reconstructs the acoustic quantities at the source surface and at any point in the entire three-dimensional sound field by measuring the complex acoustic pressure or vibration velocity on the near-field because of its large measuring surface and high density of sensors.…”
Section: Introductionmentioning
confidence: 99%
“…After 40 years of development, various NAH algorithms based on diferent EWFs have been established, for example, discrete Fourier transform-based NAH (DFT-based NAH) [5][6][7], inverse boundary element method (IBEM) [8][9][10], equivalent source method (ESM) [11][12][13][14], statistically optimized NAH (SONAH) [15][16][17], Helmholtz equation least squares (HELS) [18][19][20][21], and so on. Teoretically, DFTbased NAH implicitly expands the sound feld by a set of EWFs such as plane, cylindrical, or spherical wave functions, while the spatial spectra can be considered as the weighting coefcients.…”
Section: Introductionmentioning
confidence: 99%