US 12,276,746 B2
Sound source identification method and system based on array measurement and sparse prior information
Tianyang Wang, Beijing (CN); Shilin Sun, Beijing (CN); and Fulei Chu, Beijing (CN)
Assigned to TSINGHUA UNIVERSITY, Beijing (CN)
Appl. No. 17/774,408
Filed by TSINGHUA UNIVERSITY, Beijing (CN)
PCT Filed Dec. 2, 2021, PCT No. PCT/CN2021/135053
§ 371(c)(1), (2) Date May 4, 2022,
PCT Pub. No. WO2022/247202, PCT Pub. Date Dec. 1, 2022.
Claims priority of application No. 202110564464.5 (CN), filed on May 24, 2021.
Prior Publication US 2024/0255607 A1, Aug. 1, 2024
Int. Cl. G01S 5/22 (2006.01); G01S 3/80 (2006.01); G01S 3/808 (2006.01)
CPC G01S 5/22 (2013.01) [G01S 3/8083 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A sound source identification method based on array measurement and sparse prior information, comprising:
building a sound source identification problem model according to a characteristic of a target sound source and position information of array elements in a microphone array, and obtaining a basic sound image based on the sound source identification problem model;
extracting a peak in the basic sound image and obtaining position index information of a solution vector of a potential sound source according to a coordinate of the peak;
determining a number and a distribution regularity of support sets in the solution vector according to the position index information, and creating an initial solution vector x(0) for sound field reconstruction according to the number and the distribution regularity of the support sets;
obtaining an optimal solution based on the initial solution vector x(0) through proximal gradient iteration;
generating a high-resolution sound image according to the optimal solution; and
using the generated high-resolution sound image, identifying a visual identification of the target sound source, a position of the target sound source, an intensity of the target sound source, sound signal characteristics of the target sound source, locations and general mechanisms of an abnormal sound and a noise, and key information for structural health monitoring and fault diagnosis of medical equipment.