Novel Signal Processing for Airborne Passive Synthetic Aperture Radar

ABSTRACT: Systems & Technology Research together with our teammates, Wright State University and Prof. Robert Nowak of University of Wisconsin proposes to develop novel signal processing algorithms for airborne passive Synthetic Aperture Radar. In phase 2, our team will enhance the fusion algorithms and improve the fidelity of the simulation environment used for performance evaluation developed in Phase 1. Additionally, we will develop and integrate algorithms to mitigate direct path interference, efficiently form images, and perform autofocus. In total, these algorithms will provide an end-to-end processing chain that provides high-quality images for use in ATR. BENEFIT: If the proposed development is successful, we will have developed high resolution airborne passive SAR imaging algorithms. These algorithms are expected to enable reduced SWAP airborne passive radar systems and, ultimately, to enhance platform survivability in A2/AD environments by operating passively. This SBIR effort develops high resolution passive SAR imaging technologies. They have applications in surveillance, low-cost SAR mapping, law enforcement and homeland security.