Date of Award
Master of Science in Electrical Engineering
Department of Electrical and Computer Engineering
Julie A. Jackson, PhD
This thesis develops a framework for SAR target detection and super-resolution in low-resolution environments. The primary focus in this research is the background clutter heterogeneity that often accompanies low range and cross-range resolutions. A corrective model which accounts for clutter replacement is developed to define the detection and false alarm rates of the detector more accurately than a traditional model in which the radar return from the target supplements the existing clutter. In a heterogeneous clutter cell, the clutter replacement model leverages the different scattering distributions among the individual clutter types to generate a probability distribution function for the areas of each clutter type which are obstructed by a target. The location of the target can be extrapolated from the clutter replacement areas, and a multiple hypothesis detection test is conducted to determine which location estimate yields the lowest average error.
DTIC Accession Number
Stankowski, Kyle G., "Target Detection in Heterogeneous Clutter with Low Resolution Radar" (2019). Theses and Dissertations. 2367.