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Spherical Reverse Beamforming for Sound Source Localization Based on the Inverse Method
Chao Sun1,2, Yuechan Liu3,4
1School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China. sc13579@126.com.
Sensors (Basel, Switzerland)
|June 12, 2019
Summary
This study introduces spherical reverse beamforming for enhanced sound source localization. The novel method improves resolution and background noise suppression without frequency or array limitations.
Area of Science:
- Acoustics
- Signal Processing
- Array Signal Processing
Background:
- Spherical arrays offer omnidirectional acoustic mapping capabilities.
- Conventional beamforming methods for spherical arrays have limitations in resolution and directional ambiguity.
Purpose of the Study:
- To propose a spherical reverse beamforming technique for improved sound source localization.
- To enhance the sharpness of scanning beams and the resolution of acoustic mapping.
Main Methods:
- Spherical reverse beamforming based on spherical harmonic beamforming and sound field reconstruction.
- Modeling the acoustic map as a combination of imaginary sound sources at scan points.
- Utilizing non-convex constrained optimization with p-norm and iterative weighted techniques for sparse solutions.
Main Results:
- The proposed method achieves significantly improved resolution in sound source localization.
- Performance is independent of frequency and array aperture.
- Demonstrates enhanced capability in suppressing background noise fluctuations compared to conventional methods.
Conclusions:
- Spherical reverse beamforming offers superior performance for sound source localization.
- The technique provides higher resolution and better noise immunity.
- This method overcomes limitations of traditional spherical array processing.
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