ISAR target reconstruction via dipole modeling
Date of Award
Ph.D. in Electrical Engineering
Department of Electrical and Computer Engineering
Advisor: Michael C. Wicks
This thesis addresses a unique method of ISAR dipole model image by employing vector dyadic contrast function technique. The current ISAR imaging algorithms rely upon the assumption that the area under investigation consists of a superposition of infinitesimally small isotropic scatterers (i.e., the point scatterer model). This approximation fails to capture the true real-world scattering mechanisms occurring within the targets of interest. Therefore, this thesis proposes a batter imaging technique which based upon the assumption that targets can be modeled as a collection of infinitesimally small dipoles. And the reason is that it is the simplest antenna with well-known radiation pattern, theory and it is more realistic approximation model. The word small" implies that it is relative to the wavelength of operation. So that the absolute size of the dipole does not matter, only the size of the wire relative to the wavelength of the frequency matters. Also the field of small dipole antenna is function of the polar angle and this tells us the orientation of the target relative to the incident field. The orientation of each dipole is accounted in a dyadic contrast function. The image reconstruction, i.e., retrieval of the dyadic reflectivity function from measured data, will not only provide information regarding the shape but also the direction of predominant edges of the target."
Antennas, Dipole Mathematical models, Synthetic aperture radar, Image reconstruction, Electrical Engineering, ISAR, Point Source Model, Dipole Model and Dyadic Reflectivity Function
Copyright 2016, author
Nassib, Ali, "ISAR target reconstruction via dipole modeling" (2016). Graduate Theses and Dissertations. 1141.