基于TDOA多声源定位的虚假声源消除方法

Multi-source Localization Method of Eliminating Phantom Sound Sources Based on TDOA

基于到达时差(time difference of arrival,简称TDOA)的多声源定位方法难以将麦克风获得的TDOA值与真实声源进行有效的关联。针对此问题,提出了一种基于TDOA的多声源空间定位方法。利用互相关算法估计声源的TDOA值,并基于Chan算法求解多目标声源的空间位置。为消除虚假声源,将阵列麦克风分为定位和校验两组子阵列,并构建阵列分组定位校验模型。定位麦克风用于所有可能声源的定位。校验麦克风用于虚假声源的消除,并获得多声源的初始位置。根据初始真实声源位置,构建全阵列TDOA序列校验模型,并获得最终真实声源位置。搭建了仿真及实验平台,对提出的方法进行验证。仿真及实验结果表明,提出的方法有效地消除了基于TDOA多声源定位的虚假声源,并能充分利用阵列麦克风数量来提升多声源定位精度。

It is difficult for the multi-source localization method based on time difference of arrival(TDOA)to effectively associate the actual sources between the TDOA values obtained by array microphones. In order to solve this problem,this study developed a multi-source localization method based on TDOA. By using the crosscorrelation algorithm to estimate the TDOA values of sound sources,and the locations of multiple target sound sources are solved based on Chan algorithm. In order to eliminate the phantom sound sources,the array microphone is divided into two sub-arrays:localization array and check array. Then the localization-check model for grouped microphone array is constructed. The microphones of localization array are used for locating all possible sources. The microphones of check array are used to eliminate the phantom sound sources and obtain the initial locations of real sound sources. According to the initial locations of real sound sources,a full array TDOA sequences check model is constructed to obtain the final locations of real sound sources. The simulation and experiment platforms are built to verify the proposed method. The simulation and experimental results show that the proposed method can effectively eliminate the phantom sound source based on TDOA,and make full use of array microphones to improve the localization accuracy of multiple sound sources.