Prior area searching for energy-based sound source localization  

作　　者：Feng GAO Yeyun CAI Fang DENG Chengpu YU Jie CHEN 

机构地区：[1]Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing Institute of Technology,Beijing 100081,China [2]Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401120,China [3]Guohao Academy,Tongji University,Shanghai 200092,China

出　　处：《Science China(Information Sciences)》2022年第12期216-227,共12页中国科学（信息科学）（英文版）

基　　金：supported in part by National Science Fund for Distinguished Young Scholars of China(Grant No.62025301);Basic Science Center Project(Grant No.62088101);Key Program of National Natural Science Foundation of China(Grant No.61933002)。

摘　　要：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.

关 键 词：prior area searching sound source localization adaptively initialization iterative search indoor environment 

分 类 号：TN912.3[电子电信—通信与信息系统]