2008
DOI: 10.1088/1742-6596/135/1/012099
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Reconstruction of surface impedance of an object located over a planar PEC surface

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Cited by 4 publications
(7 citation statements)
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“…For example, a reconstruction method for inhomogeneous surface impedance and shape of a two-dimensional (2D) cylindrical object located over a perfectly electric conducting (PEC) plane, which has a mirror effect on the measured data that corresponds to a full view configuration, was presented in [10]. The method in [10] may be seen as the first step to a guided wave environment, where the guided modes are due to reflections between the boundary walls.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…For example, a reconstruction method for inhomogeneous surface impedance and shape of a two-dimensional (2D) cylindrical object located over a perfectly electric conducting (PEC) plane, which has a mirror effect on the measured data that corresponds to a full view configuration, was presented in [10]. The method in [10] may be seen as the first step to a guided wave environment, where the guided modes are due to reflections between the boundary walls.…”
Section: Methodsmentioning
confidence: 99%
“…For example, a reconstruction method for inhomogeneous surface impedance and shape of a two-dimensional (2D) cylindrical object located over a perfectly electric conducting (PEC) plane, which has a mirror effect on the measured data that corresponds to a full view configuration, was presented in [10]. The method in [10] may be seen as the first step to a guided wave environment, where the guided modes are due to reflections between the boundary walls. In [11], the inverse problem of retrieving the shape of an inaccessible, perfectly electric conducting target from a set of far field measurements was considered, and a reconstruction method in which the unknown scatterer is modeled by means of a surface impedance was used.…”
Section: Methodsmentioning
confidence: 99%
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“…Other possible approaches are based on the impedance boundary condition [10] or the so-called decomposition methods [11]. Although interesting approaches, these methods still rely on matrix inversions and regularization and do not seem suitable for real time applications.…”
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confidence: 99%