Recognition of conductive objects based on the characteristics of reflected electromagnetic wave

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• 作者：D. Lyasota ; V. M. Morozov ; V. I. Magro
• 刊名：Radioelectronics and Communications Systems
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：59
• 期：7
• 页码：293-300
• 全文大小：161 KB
• 刊物类别：Engineering
• 刊物主题：Communications Engineering and Networks
  Russian Library of Science
  
• 出版者：Allerton Press, Inc. distributed exclusively by Springer Science+Business Media LLC
• ISSN：1934-8061
• 卷排序：59

文摘

The problem of electromagnetic wave diffraction by the metal objects has been solved using integral equation technique. The diagrams of backward scattering have been plotted for four different objects. Based on the feature vector, which has been constructed by applying wavelet packet signal decomposition, a neural network has been trained. We have performed the testing of ability of the neural network to recognize the object depending on the noise level. Various methods of the feature vector forming have been considered.Original Russian Text © D. Lyasota, V.M. Morozov, V.I. Magro, 2016, published in Izv. Vyssh. Uchebn. Zaved., Radioelektron., 2016, Vol. 59, No. 7, pp. 17–25.