Prior area searching for energy-based sound source localization

Traditional energy-based sound source localization methods have the problems of the large solution space and time-consuming calculation. Accordingly, this paper proposes to use the data collected by each acoustic sensor and their corresponding weights to adaptively initialize the prior area of a tar...

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Bibliographic Details
Published in:Science China. Information sciences 2022-12, Vol.65 (12), p.222204, Article 222204
Main Authors: Gao, Feng, Cai, Yeyun, Deng, Fang, Yu, Chengpu, Chen, Jie
Format: Article
Language:English
Subjects:
Algorithms
Computer Science
Information Systems and Communication Service
Localization
Mathematical analysis
Research Paper
Solution space
Sound localization
Sound sources
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Summary:Traditional energy-based sound source localization methods have the problems of the large solution space and time-consuming calculation. Accordingly, this paper proposes to use the data collected by each acoustic sensor and their corresponding weights to adaptively initialize the prior area of a target. In this way, the potential existence range of the target is reduced and the location estimate can be determined in a small area. Specifically, we first determine the initial search point based on the current sound data and the set rules. Then, the prior location of the target is iteratively searched according to different sound energy circles’ weights. Next, the prior area of the target is determined around the prior location. Finally, the precise location of the target is further traversed to minimize the objective function, which is constructed by the weighted nonlinear least squares location (WNLS) algorithm. A series of indoor experiments are performed. The results show that our method can effectively improve the positioning accuracy by approximately 13% and greatly reduce the calculation time.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-022-3568-2