Target Detection in Heterogeneous Clutter with Low Resolution Radar
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 12, 2019
- Accession Number
- AD1084425
Entities
People
- Kyle G. Stankowski
Organizations
- Air Force Institute of Technology