پديد آورنده :
اسكندري، محمدرضا
عنوان :
تصويربرداري مايكروويو از ساختارهاي پيچيده با استفاده از داده هاي ميدان نزديك
گرايش تحصيلي :
مهندسي برق
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
[سيزده]، 142ص.: مصور
يادداشت :
ص. ع. به فارسي و انگليسي
استاد راهنما :
رضا صفيان، مجتبي دهملائيان
استاد مشاور :
مرتضي فتوحي
توصيفگر ها :
پراكندگي معكوس , روش مجموعه تراز , روش نمونه برداري خطي
تاريخ نمايه سازي :
5/3/94
استاد مدعو :
حبيب الله عبيري، احد توكلي، محسن مداح علي
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID755 دكتري
چكيده انگليسي :
Microwave Imaging of Complex Structures Using Near Field Data Mohammad Reza Eskandari mr eskandari@ec iut ac ir Date of Submission March 2015 Department of Electrical and Computer Engineering Isfahan University of Technology 84156 83111 Isfahan IranReza Sa an rsa an@cc iut ac irMojtaba Dehmollaian m dehmollaian@ut ac irMorteza Fotouhi fotouhi@sharif edu Electrical and Computer Engineering Department Isfahan University of Technology Isfahan Iran Center of Excellence on Applied Electromagnetic Systems School of Electrical and Computer Engineering Uni versity of Tehran Tehran Iran Department of Mathematical Sciences Sharif University of Technology Tehran IranAbstractA novel modi ed level set method MLSM is proposed to reconstruct the shape and inhomogeneity of two dimensionalobjects As a numerical technique level set method is capable of revealing the shape and position of objects bysynthetic measurement data In fact the constitutive parameters of an object e g its relative complex permittivity are among the apriori information for this inversion algorithm In the present method an evolution strategy isproposed so that both shape and permittivity of a temporary object are evaluated The temporary object convergesto the target while a cost function is decreasing The cost function is regularized with two penalty terms In orderto prevent a sudden change in the shape of the temporary object a curvature based regularization is used Also the Laplacian regularizer is adopted to reduce the uctuation and roughness of the constitutive parameters of thetemporary object Using di erent synthetic data the capability of MLSM in accurately identifying objects of interestis presented It is shown that with MLSM we are able to completely separate the two adjacent objects with in adistance more than one fteenth of a wavelength Key WordsMicrowave Imaging Inverse Scattering Level Set Method Linear Sampling MethodIntroductionThe purpose of MI is the non invasive inspection along with the estimation of shape and electro magnetic properties of attainable or hidden objects exposed to electromagnetic waves in microwaveregime It is due to the excellent diagnostic capability that MI is of interest for various applicationssuch as geophysical prospecting inspection and monitoring of civil structures and defect detec tion of industrial products Moreover this is an attractive modality for biomedical engineering tovisualize an organ tissue and bone within the body and investigating their abnormalities As an inverse scattering problem an MI problem has three major challenges nonlinearity ill posedness and numerous unknowns To overcome these challenges diverse methods for applicableproblems are observed in the literature Recently along with the development of measurement
استاد راهنما :
رضا صفيان، مجتبي دهملائيان
استاد مشاور :
مرتضي فتوحي
