基于宏微导向的ACO-MUSIC两级相控声源定位算法  

ACO⁃MUSIC Two⁃Level Phase⁃Controlled Sound Source Localization Algorithm Based on Macro and Micro Guidance

作　　者：刘缘 邓丽军 程树添 曾吕明 纪轩荣 LIU Yuan;DENG Lijun;CHENG Shutian;ZENG Lüming;JI Xuanrong(School of Electromechanical Engineering,Guangdong University of Technology Guangzhou,510006,China;Guangdong Yunsheng Technology Co.,Ltd.Guangzhou,510006,China)

机构地区：[1]广东工业大学机电工程学院,广州510006 [2]广东云声科技有限公司,广州510006

出　　处：《振动．测试与诊断》2024年第1期67-73,197,共8页Journal of Vibration,Measurement & Diagnosis

基　　金：广东省“珠江人才计划”引进创新创业团队资助项目(2016ZT06G375);国家自然科学基金资助项目(51805097,51975131,11804059)。

摘　　要：针对传统的多重信号分类(multiple signal classification,简称MUSIC)算法定位声源位置时存在计算量大的问题,提出了一种基于宏微导向的蚁群(ant colony optimization,简称ACO)-MUSIC两级相控声源定位算法。首先,利用ACO估算出声源所在的宏观位置,再用MUSIC算法精确搜索声源所在的微观方位;其次,对提出的算法进行数值仿真,并搭建实验系统进行验证。仿真和实验结果表明,所提出的算法可以高精度、快速地定位出声源所在的位置;在搜索步距为0.05°时,算法的计算复杂度和计算时间仅为传统MUSIC算法的0.25%和2.8%。The traditional multi-signal classification(MUSIC)algorithm has a lot of computation to estimate the sound source orientation.In order to solve this problem,this paper developes a two-stage ant colony optimization(ACO)MUSIC phase-controlled sound source location algorithm based on macro and micro guidance.ACO is used to estimate the macroscopic position of sound source,and MUSIC algorithm is used to search the microcosmic orientation of the sound source.The proposed algorithm is simulated numerically,and the experimental platform is built to verify the proposed algorithm.Both results of numerical simulation and experiment show that the proposed algorithm can locate the sound source accurately and quickly.When the search step is 0.05°,the computational complexity and computation time of the proposed algorithm are only 0.25%and 2.8%of that of the traditional MUSIC algorithm.

关 键 词：宏微导向 蚁群算法 多重信号分类算法 声源定位算法 

分 类 号：TH73[机械工程—仪器科学与技术] TB529[机械工程—精密仪器及机械]