Parameter estimation using nonlinear Kalman filters for motion compensation of airborne Synthetic Aperture Radars

摘要

In this paper, we present estimation algorithms of motion parameters of airborne Synthetic Aperture Radar (SAR). The estimators are based on nonlinear Kalman filters. Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are used to estimate the motion parameters. Analyses demonstrate that nonlinear Kalman filters can achieve excellent performance.