Study on the Localization Method of Multi-Aperture Acoustic Array Based on TDOA

被引:17
|
作者
Liu, Haitao [1 ,2 ]
Chen, Yonghua [1 ]
Huang, Yi [3 ]
Cheng, Xianfu [1 ]
Xiao, Qian [1 ]
机构
[1] East China Jiaotong Univ, Sch Mechanotron & Vehicle Engn, Nanchang 330013, Jiangxi, Peoples R China
[2] Tsinghua Univ, Suzhou Automot Res Inst, Suzhou 215131, Peoples R China
[3] Beijing Univ Aeronaut & Astronaut, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Microphone arrays; Location awareness; Estimation; Acoustic arrays; Acoustics; Apertures; Radar imaging; Sound source localization; multi-aperture array; time difference of arrival(TDOA); the generalized trust region subproblem(GTRS); modified polar representation(MPR); least square method; SOUND SOURCE LOCALIZATION; POSITION DETERMINATION; SOURCE IDENTIFICATION; CLOSED-FORM; RESOLUTION; TIME; QUANTIFICATION; PERFORMANCE; ESTIMATOR; ALGORITHM;
D O I
10.1109/JSEN.2021.3070811
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
When the background noise is large or the sound source is far away from the microphone array, the localization accuracy of target sound sources will decrease dramatically. In order to solve this problem, a localization method of multi-aperture acoustic array based on time difference of arrival(TDOA) is proposed. The multi-aperture acoustic array is constructed by two small sub microphone arrays, which is supposed to surpass the performance of the equivalent large array composed of all microphones. The positions of the target sound source in two local coordinates are separately estimated by the two sub microphone arrays based on the generalized trust-region sub-problem in the modified polar representation (GTRS-MPR) method. Through the space coordinate transformation, the estimated two positions of the target sound source in the two local coordinates can be transferred into one global coordinate. To optimize the final estimated position of the target sound source by the multi-aperture acoustic array, two spatial lines are formed between the reference microphones of the two sub-arrays and the estimated two sources' positions in the global coordinate, and a search algorithm of shortest distance point based on the least-square method is proposed to fuse the localization results of the two sub-arrays. A simulation and an experimental platform are set up to verify the proposed method. The results show that the proposed method has higher localization accuracy compared with the existing methods. Especially, the accuracy of range estimation is greatly improved, which will be more suitable for the far-field sound source localization.
引用
收藏
页码:13805 / 13814
页数:10
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