Abstract
The approach taken is to estimate a set of target features which describes the target as set of attributed scattering centers. Each scattering center is characterized by its relative range, amplitude, and a polarization ellipse which represents the physical of the observed target. First, we represent the fully polarized radar backscatter signal measurements as a set of down range scattering centers parameterized by a modified Prony modeling technique. Next, we use the relative range, site, and the resulting parametric scattering centers to form a of the structure of the target. Finally, we use these structural description of the measured backscatter signal to classify the target by hidden Markov models (HMM).
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