摘要
提出了一种在嘈杂环境下利用麦克风阵列对声音信号定位的方法。该方法对每个麦克风采集的声音信号进行经验模态分解,然后根据各个IMF信号的归一化能量挑选出主要的IMF分量进行信号重构,从而实现对信号进行降噪处理。将降噪后的信号使用互功率谱相位法进行相关运算,计算出不同麦克风声音信号出现的时间差异。根据信号时延和麦克风之间的几何位置关系计算出声音信号的位置。为了验证本文所提出的定位算法,进行了语音信号定位实验,通过实验实测的数据分析对比分析,验证了本文提出的方法比传统的定位算法要优越。
An algorithm of sound source localization in the presence of noise using microphone arrays is proposed.Firstly,each of the sensor outputs is separated into several intrinsic mode functions（IMFs）using empirical mode decomposition（EMD）.Secondly,normalized energy of each IMFs is calculated and IMFs were denoised according to normalized energy.The remaining signals are restructured only using main IMFs in order to increase the input signal-to-noise ratio.Lastly,time delay among different microphones is estimated by generalized cross correlation-phase transform（GCC-PHAT）between signals and location is completed by solving the geometry equation.In order to test the proposed algorithm,a preliminary experiment was carried out.The results of comparing experiment data shown that the new method is better than the ordinary algorithm.The experiment results also proved that the proposed method may provide not only an increase in the location but also reliability in the noise environments.
出处
《传感技术学报》
CAS
CSCD
北大核心
2010年第5期682-686,共5页
Chinese Journal of Sensors and Actuators
基金
天津市应用基础及前沿技术研究计划项目资助(09JCYBJC02200)
关键词
声源定位
EMD分解
室内环境
信号到达时间
互功率谱相位
sound source localization
Empirical Mode Decomposition
Indoor environments
TOA
Cross correlation-phase transform GCC-PHAT
