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基于神经网络的四元球面阵空间声源定向系统
引用本文:邢钰姣,孙昊,杨鹏,祖丽楠.基于神经网络的四元球面阵空间声源定向系统[J].电子技术应用,2012,38(2):124-126.
作者姓名:邢钰姣  孙昊  杨鹏  祖丽楠
作者单位:河北工业大学控制科学与工程学院,天津300130;河北省控制工程技术研究中心,天津300130
摘    要:针对移动机器人的目标声源定向问题,应用四元球面麦克风阵列建立了一套空间声源定向系统。为了解决通过阵列的时延值预测出目标声源方向的问题,提出了神经网络算法,并设计了双隐层BP神经网络。通过Matlab仿真验证了该网络可以实现近场和远场的声源定向,并在机器人本体上进行了实验测试,证明了该系统的实用性。

关 键 词:声源定向  移动机器人  麦克风阵列  BP神经网络

Four elements spherical microphone array sound source orientation system based on neural network
Xing Yujiao , Sun Hao , Yang Peng , Zu Li'nan.Four elements spherical microphone array sound source orientation system based on neural network[J].Application of Electronic Technique,2012,38(2):124-126.
Authors:Xing Yujiao  Sun Hao  Yang Peng  Zu Li'nan
Affiliation:Xing Yujiao1,2,Sun Hao1,2,Yang Peng1,2,Zu Li′nan1,2(1.School of Control Science and Engineering,Hebei University of Technology,Tianjin 300130,China; 2.Hebei Research Center of Control Engineering,Tianjin 300130,China)
Abstract:For the mobile robot sound source orientation,this paper uses four elements spherical microphone array to establish a spatial sound source target orientation system.In order to predict the direction of sound source target by the time delay of microphone array,the neural network algorithm is proposed in this paper.Designing a BP neural network which has two hidden layer and simulating it by Matlab toolbox.The experimental results show that the network can orient the sound source target in close field or in far field,then text it on the robot,the more show that the network is practical.
Keywords:sound source orientation  mobile robot  microphone array  BP neural network
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