Recognition and Identification of Radiated EMI for Shielding Aperture using Neural Network

摘要：

This paper presents the method to recognize and identify the different type of enclosure with apertures from effectromagnetic emission. The square wave generator is fed into the structure-like antenna in the enclosure box. Then the radiated emission from the different type of aperture are measured. The thirteen highest amplitude of the radiated emission are fed into an Artificial Neural Network input for recognition. The target of the neural network are set in four bits in the digital format. When the training process is finished the neural network are used for identify the kind of the aperture. The trained neural network are very successfully in identification all kinds of enclosure with apertures.

作者: P. Dangkham P. Sujintanarat S. Chaichana K. Aunchaleevarapan P. Teekaput

作者单位: Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand Electrical and Electronic Products Testing Center, NECTEC, NSTDA, KMITL, Bangkok, Thailand

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2007(2007年电磁学研究新进展学术研讨会)(PIERS 2007)

会议地点: 北京

会议语种:英文

页码: 1034-1037

在线出版日期: 2007-03-26（万方平台首次上网日期，不代表论文的发表时间）