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    Beyond the Born approximation in one- and two-dimensional profile reconstruction.

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    Author
    Trantanella, Charles Joseph.
    Issue Date
    1994
    Committee Chair
    Dudley, Donald G.
    
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    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    The problem of reconstructing dielectric profiles in both one and two dimensions from measurements of the scattered electric field is discussed in this dissertation. We formulate a governing equation for the electric field outside of the dielectric slab using the Green's function method. Embedded inside this equation for the electric field is both the unknown slab profile and the unknown total field inside the dielectric scatterer. To remove the unknown field quantity, we use different models for the total field inside the slab. These models reduce the governing equation to situations relating the scattered electric field to the Fourier transform of the slab and object profile (defined as the difference between the dielectric constant of the scatterer and the dielectric constant of the background medium). However, these models are only valid for low frequency. To recover the high frequency information and invert for the dielectric profile, we use a technique known as super-resolution. In the one-dimensional case, we find that model for the field inside the scatterer based upon the form of the field outside the scatterer (which we call the advanced approximation) gives the best reconstructions for a wide variety of profiles. Finally, we vary the parameters associated with super-resolution and examine the resulting reconstructions in the one-dimensional case. We find that using a minimum number of frequency samples, smaller frequency spacings between the samples, and longer reconstruction vectors lead to better reconstructions in the advanced scheme.
    Type
    text
    Dissertation-Reproduction (electronic)
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Electrical and Computer Engineering
    Graduate College
    Degree Grantor
    University of Arizona
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