Reconstructing ISAR Target via Dipole Model

Abstract: This paper 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 paper proposes a batter imaging technique which based upon the assumption that targets can be modeled as a collection of infinitesimally small dipoles. 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.