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基于麦克风阵列的时延估计新方法
引用本文:王波,王树勋,赵彦平.基于麦克风阵列的时延估计新方法[J].长春邮电学院学报,2008(3):223-229.
作者姓名:王波  王树勋  赵彦平
作者单位:吉林大学通信工程学院,长春130025
基金项目:教育部科学技术研究重点基金资助项目(7150080050)
摘    要:针对传统时延估计方法易受噪声和混响影响的问题,提出了一种基于麦克风阵列的时延估计新方法。该方法充分利用多个麦克风的空域信息和每个麦克风时域信息,以提高算法对环境噪声的抑制能力。该方法在抗噪声和抗混响性能方面都优于常用的PHAT-GCC(Phase Transform-Generalized Cross Correlation)方法。仿真实验表明,与MCCC(Multichannel Cross Correlation Coefficient)方法相比,在信噪比为20 dB,阵元个数为2~6个,混响时间在200~620 ms条件下,该方法的时延估计错误率明显降低。

关 键 词:时延估计  麦克风阵列  广义互相关函数法  多通道

New Time-Delay Estimation Method Based on Microphone Array
WANG Bo,WANG Shu-xun,ZHAO Yan-ping.New Time-Delay Estimation Method Based on Microphone Array[J].Journal of Changchun Post and Telecommunication Institute,2008(3):223-229.
Authors:WANG Bo  WANG Shu-xun  ZHAO Yan-ping
Affiliation:(College of Communication Engineering,Jilin University,Changchun 130025,China)
Abstract:In order to solve the problem that echo and noise affect the performance of traditional time-delay estimation approach,a new method is proposed by exploiting spatial-information of multiple microphones and time-domain information of each microphone adequately.The method has better performance than the PHAT-GCC(Phase Transform-Generalized Cross Correlation) method in suppressing echo and noise.Compared with the MCCC(Multichannel Cross Correlation Coefficient) method,the new method has evident advantage in suppressing echo.The simulation examples indicate when SNR(Signal-to-Noise Ratio) is 20 dB,the number of microphone is from 2 to 6 and the echo time is from 200 ms to 620 ms,the rates of the new time-delay estimation approach decline evidently.
Keywords:time-delay estimation  microphone array  generalized cross correlation(GCC)  multi-channel
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