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Open AccessArticle

Spherical Reverse Beamforming for Sound Source Localization Based on the Inverse Method

by Chao Sun 1,2 and Yuechan Liu 1,3,*
1
School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China
2
Post-Doctor Research Center of Power Engineering and Engineering Thermophysics, Harbin Engineering University, Harbin 150001, China
3
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2618; https://doi.org/10.3390/s19112618
Received: 18 April 2019 / Revised: 5 June 2019 / Accepted: 6 June 2019 / Published: 9 June 2019
A spherical array is not limited to providing an acoustic map in all directions by the azimuth of the array. In this paper, spherical reverse beamforming for sound source localization based on spherical harmonic beamforming and the principle of sound field reconstruction is proposed in order to output a sharper scanning beam. It is assumed that there is an imaginary sound source at each scan point, and the acoustic map of a spherical array to the actual sound source is regarded as the combination of all of the imaginary sound sources. Sound source localization can be realized by calculating the contribution of each imaginary sound source to the sound field. Also in this work, the non-convex constrained optimization problem is established using p-norm. Combined with the norm method, the sparse solution of the imaginary sources is obtained through iterative weighted techniques, and the resolution of sound source localization is improved significantly. The performance of this method is investigated in comparison to conventional spherical beamforming. The numerical results show that the proposed method can achieve higher resolution for the localization of sound sources without being limited by the frequency and array aperture, and has a stronger ability to suppress fluctuations in background noise. View Full-Text
Keywords: spherical reverse beamforming; inverse problem; p-norm constraint; sound source localization spherical reverse beamforming; inverse problem; p-norm constraint; sound source localization
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Sun, C.; Liu, Y. Spherical Reverse Beamforming for Sound Source Localization Based on the Inverse Method. Sensors 2019, 19, 2618.

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