Abstract
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.
Highlights
Sound source localization has high demand and exceptional value in applications such as automobiles [1], submarines [2], aircrafts [3,4], etc
For 3D acoustic imaging, the observation zone will be extended from one plane to a rectangular box
The prototype planar array with 56 microphones distributed by the Archimedes spiral is initially located in the z = −0.5 m plane, and the center of the planar array is located at
Summary
Sound source localization has high demand and exceptional value in applications such as automobiles [1], submarines [2], aircrafts [3,4], etc. Several methods have been proposed, such as beamforming and inverse methods [5,6], in which beamforming has evolved into one of the most important methods of sound source localization. The basic idea of beamforming is that by weighting each array element’s outputs, the expected maximum output power of the signal is directed to the position of the sound source. The beamformer has a good resolution when the plane of the beamformer is parallel to the microphone plane. The spatial resolution of the planar beamformer deteriorated sharply when the plane is perpendicular to the microphone array.
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