测控技术2025，Vol.44Issue(3)：18-24,7.DOI:10.19708/j.ckjs.2024.12.270
基于六元传声器阵列声源定位算法
Sound Source Localization Algorithm Based on Six-Element Microphone Array
摘要
Abstract
As sound source localization is widely used in production and life,the positioning accuracy of the traditional microphone array generalized cross correlation-phase transform(GCC-PHAT)weighted algorithm can not support its precise positioning under high noise and reverberation levels.In order to improve the positioning accuracy in a low signal-to-noise ratio environment,an improved positioning method is proposed.Firstly,a mi-crophone is added to the z axis above the origin based on the planar five-element cross array.Then,based on quadratic correlation,the weighted function and delay estimation are enhanced,and the signal-to-noise ratio is employed as the parameter for exponential calculation and false peak elimination.Finally,through geometric positioning,it is divided into two groups of five-element arrays,and the mean is calculated after solving them separately.It is also divided into two types by angle to prevent the influence of extreme angles.The experimen-tal results conducted under various environmental conditions show that the improved algorithm has significant performance improvements in time delay estimation,distance localization,and angle localization compared to the traditional GCC-PHAT algorithm.Especially in low signal-to-noise ratio scenarios,the improved algorithm has higher positioning accuracy and stronger anti-interference ability.关键词
声源定位/时延估计/二次相关/传声器阵列Key words
sound source localization/time delay estimation/secondary correlation/microphone array分类
计算机与自动化引用本文复制引用
刘彦峰,杨瑞峰,郭晨霞..基于六元传声器阵列声源定位算法[J].测控技术,2025,44(3):18-24,7.基金项目
山西省中央引导地方科技发展自由探索类基础研究项目(YDZJSX20231A032) （YDZJSX20231A032）
