摘要
麦克风阵列声源定位可为在复杂环境下的说话人的空间位置估计提供有效的解决方案。而传统的应用于雷达,声呐系统领域的阵列信号处理理论已趋于完美,很多应用于阵列信号处理的算法加以修改就可以用来进行麦克风阵列的声源定位。以阵列信号处理中的经典算法MUSIC（Multiple Signal Classification）算法为原型,同时根据语音信号在应用中的特点,介绍了一种基于近场的信号模型,并以此为依据对算法进行改进,使声源定位更加精确。对此算法进行了仿真实验,仿真结果表明,此算法具有良好的定位性能,并随着信号信噪比的上升,性能有所提高。
Sound source localization using micrpphone array provides an effective solution to speaker tracking problem under adverse environments.Classical theories about array processing,applied in the field of radar and sonar,are so perfect that they can be used for dealing with microphone array signal processing conveniently only after some revision.In this paper,the algorithm is focused on an arithmetic so-called MUSIC,which is revised according to the characteristics of sound signal as the input of the microphone array.A near-field signal transmission model is introduced in detail for improving the accuracy in sound source localization of the microphone array in near field.Simulation results show the high performance of the localization is gotten.The higher SNR is,The better result is.
作者
于向丽
吕成国
YU Xiangli,LV Chengguo（School of Computer Science and Technology,Heilongjiang University,Harbin 150080,China）
出处
《智能计算机与应用》
2011年第3期69-70,76,共3页
Intelligent Computer and Applications
基金
哈尔滨市青年科技创新人才基金资助项目（2007RFQXG097）
关键词
语音信号处理
麦克风阵列
声源定位
近场DOA估计
子空间方法
Speech Signal Processing
Microphone Array
Localization of the Speech Source
DOA（Direction of Arrival） Estimation in Near Field
Sub-Spatial Method
