2017
DOI: 10.1121/1.4973193
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Flux projection beamforming for monochromatic source localization in enclosed space

Abstract: Monochromatic sound source localization becomes difficult in enclosed space. According to the reciprocity theorem, a self-consistent method of source localization in enclosed space, referred to as the flux projection beamforming, is proposed, only using the measurement of the sound pressure and normal velocity on the closed boundary at a single frequency. Its validity is examined both by experiment and simulation.

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Cited by 4 publications
(5 citation statements)
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“…For example, the current technology cannot recognize the color of projected light in a more complex environment. rough further research, in the future, the projection angle can be determined according to the corresponding relationship between the color and the projection angle of the projection light source and the color recognized in the image [20][21][22]. However, this is only an expectation, and it is difficult to achieve this effect in practical application.…”
Section: Existing Problemsmentioning
confidence: 99%
“…For example, the current technology cannot recognize the color of projected light in a more complex environment. rough further research, in the future, the projection angle can be determined according to the corresponding relationship between the color and the projection angle of the projection light source and the color recognized in the image [20][21][22]. However, this is only an expectation, and it is difficult to achieve this effect in practical application.…”
Section: Existing Problemsmentioning
confidence: 99%
“…In this paper, a method called extended virtual acoustic reconstruction (EVAR) is proposed which maps sound field in an arbitrary real environment to that in a virtual environment without knowing properties of the excitation source in advance when scattering effect of the source can be neglected. EVAR is derived based mainly on reciprocity theorem [22,23]. Use SFR and SFV as the acronyms for sound field in the real environment and that in a virtual environment respectively.…”
Section: Introductionmentioning
confidence: 99%
“…However, it is difficult and it needs experience to find the optimal positions of the equivalent sources. [10] In this Letter, a method called the reciprocity theorem Fourier transform method (RFTM) is proposed, which combines reciprocity theorem [11,12] and Fourier transform to realize sound field separation and reconstruction. Like BEM and ESM, the RFTM does not need that the measurement surface must be regular.…”
mentioning
confidence: 99%
“…According to the reciprocity theorem, [11,12] the integral with respect to π‘Ÿ 0 in Eq. ( 7) can be computed by the total field πœ™(π‘Ÿ) and its gradient βˆ‡πœ™(π‘Ÿ) on the measurement surface πœ•π·,…”
mentioning
confidence: 99%
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