Abstract
A method for moving target tracking using single-channel Synthetic Aperture Radar (SAR) is presented. The approach is based on sub-aperture SAR processing, image statistics and multitarget unscented Kalman filtering. It is capable of robustly detecting and tracking moving objects over time, providing information about their trajectories in the image space while illuminated by the radar beam. We have successfully applied the method on experimental data sets using MiSAR and F-SAR to accurately characterize the movement of vehicles on highway sections in the image space.