2020
DOI: 10.1016/j.apacoust.2020.107316
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An improved method for recovering the acoustic characteristics of a target sound source sitting on plane by boundary element method

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Cited by 7 publications
(2 citation statements)
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“…Many algorithms have been proposed to improve the accuracy of the sound field reconstruction in NAH, which can be roughly divided into the following categories: the spatial Fourier transform (SFT) method [8][9][10][11], the boundary element method (BEM) [12][13][14][15], the equivalent source method (ESM) [16][17][18][19][20] and the statistically optimal near-field acoustic holography (SONAH). SONAH, a typical patch NAH algorithm proposed by Olsen and Hald [21], uses the linear superposition of the sound pressure or particle velocity on the holographic surface to reconstruct the sound field on the source surface.…”
Section: Introductionmentioning
confidence: 99%
“…Many algorithms have been proposed to improve the accuracy of the sound field reconstruction in NAH, which can be roughly divided into the following categories: the spatial Fourier transform (SFT) method [8][9][10][11], the boundary element method (BEM) [12][13][14][15], the equivalent source method (ESM) [16][17][18][19][20] and the statistically optimal near-field acoustic holography (SONAH). SONAH, a typical patch NAH algorithm proposed by Olsen and Hald [21], uses the linear superposition of the sound pressure or particle velocity on the holographic surface to reconstruct the sound field on the source surface.…”
Section: Introductionmentioning
confidence: 99%
“…The equivalent source method (ESM)-based FFR technique combined with the NAH was used to reconstruct the sound field radiated by a target source from the measured mixed field [ 17 , 18 , 19 , 20 ]. An improved double-layer BEM was proposed to recover the half-space acoustic characteristics of a target source sitting on the boundaries in a bounded noisy environment by combining it with the image-source method [ 21 ]. Wu et al [ 22 ] presented a BEM-based NAH in conjunction with the FFR technique to reconstruct the free sound field in a non-anechoic environment.…”
Section: Introductionmentioning
confidence: 99%