基于声音位置指纹的室内声源定位方法

针对基于模型的声源定位方法在非结构化空间中应用所存在的模型依赖度高、定位精度低等问题,提出一种基于声音位置指纹的定位方法,通过将待定位点处的声源信号空间位置特征与定位数据库中信息进行比较从而完成声源定位.该定位方法包括2个阶段:离线采样阶段,捕获各定位参考点处声源信号并完成位置特征提取,据此特征和参考点位置信息构建定位数据库;在线定位阶段,通过提取待定位点处实时信号特征并和定位数据库中信息进行匹配完成定位.仿真实验结果表明:在麦克风数量较少、环境噪声干扰较大的情况下,该方法具有较小的声源位置估计偏差,定位效果可满足实际应用需求.

Indoor Sound-position Fingerprint Method Based on Scenario Analysis

To solve the problems of high model dependence and low accuracy of sound source localization method based on geometric model in unstructured space,a localization method via sound-position fingerprint method was proposed.Position estimation was achieved by comparing the spatial characteristics of sound signal recorded at location point with the positioning database.The method included two stages.At the off-line sampling stage,sound signals of positioning reference nodes were obtained and the feature information was extracted to build the positioning database.While at the online stage,the real-time signal characteristics of pending sites were matched with the positioning database to accomplish the location task.Simulation results show that under the condition of sparse microphones and with large noise,the proposed localization method has rather small sound source position estimation bias,and the positioning performance can meet the demands of practical application.