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Investigation of music algorithm based and wd-pca method based electromagnetic target classification techniques for their noise performances
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Date
2009
Author
Ergin, Emre
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Multiple Signal Classification (MUSIC) Algorithm based and Wigner Distribution-Principal Component Analysis (WD-PCA) based classification techniques are very recently suggested resonance region approaches for electromagnetic target classification. In this thesis, performances of these two techniques will be compared concerning their robustness for noise and their capacity to handle large number of candidate targets. In this context, classifier design simulations will be demonstrated for target libraries containing conducting and dielectric spheres and for dielectric coated conducting spheres. Small scale aircraft targets modeled by thin conducting wires will also be used in classifier design demonstrations.
Subject Keywords
Electrical engineering.
,
Nuclear engineering.
URI
http://etd.lib.metu.edu.tr/upload/12611218/index.pdf
https://hdl.handle.net/11511/18950
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Graduate School of Natural and Applied Sciences, Thesis
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E. Ergin, “Investigation of music algorithm based and wd-pca method based electromagnetic target classification techniques for their noise performances,” M.S. - Master of Science, Middle East Technical University, 2009.
