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Isar Target Reconstruction Via Dipole Modeling

Nassib, Ali Hussein
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461250663

Abstract Details

2016, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical Engineering.
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.
Michael Wicks (Committee Chair)
218 p.
Electrical Engineering
ISAR, Point Source Model, Dipole Model and Dyadic Reflectivity Function

Recommended Citations

Citations

  • Nassib, A. H. (2016). Isar Target Reconstruction Via Dipole Modeling [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461250663

    APA Style (7th edition)

  • Nassib, Ali. Isar Target Reconstruction Via Dipole Modeling. 2016. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461250663.

    MLA Style (8th edition)

  • Nassib, Ali. "Isar Target Reconstruction Via Dipole Modeling." Doctoral dissertation, University of Dayton, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461250663

    Chicago Manual of Style (17th edition)

dayton1461250663
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This open access ETD is published by University of Dayton and OhioLINK.