Non-destructive recognition of dielectric coated conducting objects by using WD type time-frequency transformation and PCA-based fusion

Date

2013-07-01

Author

Sayan, Gönül

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This article demonstrates the applications of a non-destructive electromagnetic target recognition method, called Wigner distribution-principal component analysis (WD-PCA) method, to dielectric coated conducting spheres. These spheres are chosen to be highly similar having the same overall size but slightly different permittivity and thickness values in coating layers. Four different classifiers are simulated by using the WD-PCA method for varying sizes of object libraries under different noise conditions. High correct decision rates are demonstrated even for challenging classifier libraries containing a large number of coated conductors while the method is also shown to be highly robust against noise both in design and test stages. (c) 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.

Subject Keywords

Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design, Computer Science Applications

URI

https://hdl.handle.net/11511/38685

Journal

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING

DOI

https://doi.org/10.1002/mmce.20726

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

G. Sayan, “Non-destructive recognition of dielectric coated conducting objects by using WD type time-frequency transformation and PCA-based fusion,” INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, pp. 403–409, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38685.