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[1]陈向阳,刘松,刘培,等.时延估计的声源定位算法及MATLAB实现[J].武汉工程大学学报,2014,(10):61-65.[doi:103969/jissn167428692014010013]
　CHEN Xiang yang,LIU Song,LIU Pei,et al.Sound source localization algorithm based on time delay estimation with Matlab[J].Journal of Wuhan Institute of Technology,2014,(10):61-65.[doi:103969/jissn167428692014010013]
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时延估计的声源定位算法及MATLAB实现(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2014年10期
页码:
61-65
栏目:
机电与信息工程
出版日期:
2014-10-30

文章信息/Info

Title:
Sound source localization algorithm based on time delay estimation with Matlab
文章编号:
16742869(2014)010006105
作者:
陈向阳1; 刘松1; 刘培2; 徐莹3; 沈超1
1．武汉工程大学计算机科学与工程学院；2．邮电与信息工程学院，湖北 武汉 430074；3．湖北省档案局（馆）科技处， 湖北 武汉 430071
Author(s):
CHEN Xiangyang; LIU Song; LIU Pei; XU Ying; SHEN Chao
1.School of Computer Science and Engineering, Wuhan Institute of technology，Wuhan 430205,China; 2.The College of Post and Telecommunication of Wuhan Institute of Technology, Wuhan 430074,China; 3.Science and Technology Department, Hubei Provincial Archives Bureau，Wuhan 430071, China
关键词:
声源定位; 时延估计; 互相关函数; 自适应估计; 插值法
Keywords:
sound source localization;  time delay estimation;  adaptive estimation;  interpolation method
分类号:
TN643
DOI:
103969/jissn167428692014010013
文献标志码:
A
摘要:
概述评价了在机器人、视频会议、大型会议记录中等常用声源定位的时延估计和定位方法，包括广义互相关函数时延估计法、最小方差自适应时延估计法和角度距离定位算法、球形差值定位算法、线性差值法的声源定位方法.利用仿真软件Matlab对各种算法的仿真结果，综合考虑仿真中使用的信号和噪音的互相关性，并结合改进后的相位变换加权函数改进了广义互相关函数时延估计法.结果表明利用改进的广义互相关算法结合球形差值定位技术能够得到更有效、更精确地定位.
Abstract:
Methods of time delay estimation and sound source localization in robots, video conferences and meeting recordings were reviewed, including time delay estimation of generalized cross correlation function, minimum variance of adaptive time delay estimation, position angle distance algorithm, spherical difference localization algorithm and linear interpolation. According to the simulation of various algorithms with Matlab, considered the cross correlation feature of input signal and noise in simulation, an improved generalized time delay estimation of cross correlation was presented using the reformed phase transformation method. The simulation results show that using the improved generalized cross correlation algorithm can obtain more efficient and accurate positioning combined with spherical difference positioning technology.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：20131204基金项目:湖北省教育科学“十二五”规划2013年度立项课题（2013B060）作者简介：陈向阳（1969），男，河南开封人，副教授，硕士.研究方向：网络通信工程、复杂网络、生物信息等.
更新日期/Last Update: 2014-11-21