The Effects of Multistatic Processing and Autofocusing on an Experimental Passive Synthetic Aperture Radar Imaging System

Nicolas H. Zimmerman


The Air Force Institute of Technology (AFIT) Radar Instrumentation Lab (RAIL) Synthetic Aperture Radar (SAR) experimental system is capable of bistatic passive SAR collections. This research assesses current system limitations and expands the hardware and software to facilitate multi-static imaging in experimental and simulated configurations. An autofocusing algorithm is applied to phase history data to mitigate position error and improve image quality in both bistatic and multi-static cases. Final experimental results show significant improvement to imaging products attributed to these signal processing techniques.