High frequency electromagnetic scattering prediction and scattering feature extraction

dc.contributor.advisorLing, Haoen
dc.creatorZhou, Yong, 1971-en
dc.date.accessioned2011-02-01T22:15:10Zen
dc.date.available2011-02-01T22:15:10Zen
dc.date.issued2005-05en
dc.descriptiontexten
dc.description.abstractThree related electromagnetic scattering problems, namely, high frequency electromagnetic (EM) ray tracing, scattering feature extraction, and inverse scattering are studied in this dissertation. New approaches are presented to advance the state of the art in each of the areas. The presented study in electromagnetic ray tracing leads to an alternative ray tracing algorithm which can outperform the traditional algorithms for complex targets. The performance of the proposed techniques demonstrates their potential application to the study of high-frequency EM scattering prediction. Second, a genetic algorithm (GA)-based algorithm with an adaptive-feeding technique is developed to simultaneously extract both scattering centers and resonances. Scattering feature extraction algorithms are then developed with the consideration of the visibility of scattering centers. Inverse scattering problems with strong multiple scattering effects are also studied. A GA-based method is presented to invert the shapes with multiple scattering effects. An approach combining hybrid GA with the tabu list idea are then developed to further improve the performance of the GA-based inversion algorithms.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mediumelectronicen
dc.identifier.urihttp://hdl.handle.net/2152/9773en
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subjectHigh frequency electromagnetic ray tracingen
dc.subjectScattering feature extractionen
dc.subjectInverse scatteringen
dc.subjectGenetic algorithm-based inversion algorithmsen
dc.titleHigh frequency electromagnetic scattering prediction and scattering feature extractionen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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