Abstract
The size of the sound field reconstruction area has an important influence on the beamforming sound source localization method and determines the speed of reconstruction. To reduce the sound field reconstruction area, stereo vision technology is introduced to continuously obtain the three-dimensional surface of the target and reconstruct the sound field on it. The fusion method can quickly locate the three-dimensional position of the sound source, and the computational complexity of this method is mathematically analyzed. The sound power level can be estimated dynamically by the sound intensity scaling method based on beamforming and the depth information of the sound source. Experimental results in a hemi-anechoic chamber show that this method can quickly identify the three-dimensional position of the moving source. When the depth of the moving sound source changes, the estimated sound power is more stable than the sound pressure on the microphone.
Highlights
Beamforming is a method of processing array signals and has mature applications in many fields, such as sonar, mobile communications, medical imaging, and radio astronomy [1,2,3]
According to the sound pressure level fitting curve, it can be seen that the overall trend is decreasing with the increase of the distance
Aimed at the current difficulties in spatial localization and monitoring of the sound power of mobile sound sources, this paper studies the sound source localization method combining a binocular camera and beamforming
Summary
Beamforming is a method of processing array signals and has mature applications in many fields, such as sonar, mobile communications, medical imaging, and radio astronomy [1,2,3]. The beamforming method based on the acoustic array can locate steady-state and transient sound sources at medium and long distances with medium and high frequencies [5]. The usual method is to assume the depth Z of the plane where the sound source is located, perform gridding on this plane (focus reconstruction surface) and calculate the sound field output of each grid point (reconstruction point) to complete the sound field reconstruction of the plane. This continuously iterates planes of different depths to achieve the sound field reconstruction in the spatial region
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