Localization and identification of three-dimensional sound source with beamforming based acoustic tomography

Ding, Hao; Lu, Huancai; LI, Chunxiao; JING, Jiangming; Mei, Dongting; Chai, Guozhong

doi:10.1121/1.4801076

Cited by 3 publications

(2 citation statements)

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“…The 3D beamforming research is indispensable, achieving a high spatial resolution in both the lateral and normal directions of the planar array. The 3D model is more practical because the ability of great 3D sound source localization [22][23][24] is required in many industrial and national defense fields, especially in the aeroacoustics.…”

Section: Introductionmentioning

confidence: 99%

“…A deconvolution approach of 3D DAMAS was developed to locate the distribution of gear noise sources, by Brooks et al [20], which can improve the performance of the larger arrays at a higher frequency. 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.…”

Section: Introductionmentioning

confidence: 99%

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Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements

Guo

Chu

et al. 2020

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements

Guo

Chu

et al. 2020

Sensors

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Mathematical models for the improvement of detection techniques of industrial noise sources from acoustic images

Asdrubali

Baldinelli

Bianchi

et al. 2021

Math Methods in App Sciences

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In this paper, a procedure for the detection of the sources of industrial noise and the evaluation of their distances is introduced. The above method is based on the analysis of acoustic and optical data recorded by an acoustic camera. In order to improve the resolution of the data, interpolation and quasi interpolation algorithms for digital data processing have been used, such as the bilinear, bicubic, and sampling Kantorovich (SK). The experimental tests show that the SK algorithm allows to perform the above task more accurately than the other considered methods.

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Innovative techniques for the improvement of industrial noise sources identification by beamforming

et al. 2021

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An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different noise sources which could be present in a multisource environment. A loss of precision is found when the effect of the high acoustic reflectivity ground interferes with the noise source.

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Localization and identification of three-dimensional sound source with beamforming based acoustic tomography

Cited by 3 publications

References 0 publications

Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements

Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements

Mathematical models for the improvement of detection techniques of industrial noise sources from acoustic images

Innovative techniques for the improvement of industrial noise sources identification by beamforming

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