Microphone Array Network Model and Its Application in Obstacle Recognition
An innovative obstacle detection system is developed based on basic principles of acoustics and a network structure method in abstract space.This system is comprised of hardware terminal,multi-sonic network model,and classifiers.The hardware terminal includes stereoscopic distributed microphone nodes,data acquisi-tion card,and industrial personal computer.The network structure is established based on signals from multiple sound waves,and valuable information is extracted and computed from the complex signals of multiple sound waves.The principal component analysis(PCA)is used to reduce the dimensionality of the extracted informa-tion,then supervised learning methods is applied to achieve the ability of classifing and recognizing environ-ments.The creation of this system not only provides significant technical support for autonomous driving cars,robot navigation and drones,but also provides new possibilities for the technological advancement in intelligent navigation and automation fields.Future works will focus on further optimizing the system's performance and improve its application scope and economic benefits.
万方数据
维普
